{
  "version": "1.0",
  "verified_at": "2026-10-10",
  "robots": [
    {
      "id": "agibot-a2",
      "name": "AgiBot A2",
      "manufacturer": "AgiBot",
      "url": "https://www.agibot.com/products/A2",
      "first_party_domains": [
        "agibot.com",
        "github.com/Link-U-OS"
      ],
      "description": "AgiBot's full-size humanoid service robot, sold as the A2 and as the A2 Ultra, A2 Lite, A2 Max and A2 Pro configurations the maker's own pages name. The product page names four of the maker's own components — ActionGPT, HIMUS, VectorFlux and RTMOF — and says what each does, and the maker's open-source Link-U OS documents an end-to-end route for training a locomotion policy in simulation and deploying it to a physical A2.",
      "variants": "A2 Ultra and A2 Lite on the product page's own parameter table and in AgiBot's store, which sells both with a stated price and an add-to-cart control. The maker's document centre and product pages also name an A2 Max, an A2 Pro, and an A2-W, the last a wheeled dual-arm robot documented on its own page, which this record does not cover.",
      "form_factor": "humanoid",
      "availability": "orderable",
      "availability_note": "AgiBot's store lists the A2 Ultra and the A2 Lite with a stated price, a quantity control and an add-to-cart button, and states a shipping cost band, with customs duty left to the buyer. The product page itself closes with Contact us and a one-to-one customised-service form rather than a price.",
      "ai_basis": [
        "vendor_named_model",
        "open_model_interface"
      ],
      "named_models": [
        {
          "name": "ActionGPT",
          "kind": "other_learned",
          "role_note": "AgiBot's product page says ActionGPT generates human-like natural movements based on voice commands and intent, supporting light operational tasks.",
          "evidence_label": "Product page, named-component section"
        },
        {
          "name": "HIMUS",
          "kind": "other_learned",
          "role_note": "AgiBot's product page expands HIMUS as its High-performance Multimodal Mapping System 3D-SLAM algorithm and says the system uses it for L4-level autonomous mobility with low latency and minimal drift in complex, dynamic environments.",
          "evidence_label": "Product page, named-component section"
        },
        {
          "name": "VectorFlux",
          "kind": "other_learned",
          "role_note": "AgiBot's product page names VectorFlux as its planning and control algorithm, used with HIMUS for autonomous mobility.",
          "evidence_label": "Product page, named-component section"
        },
        {
          "name": "RTMOF",
          "kind": "reinforcement_learning_policy",
          "role_note": "AgiBot's product page expands RTMOF as its Real-Time Robust Motion Framework, says it applies non-linear model predictive control together with reinforcement learning algorithms and a dynamic planning engine, and says the result quickly generates globally optimal trajectories and improves motion strategies in uncertain environments.",
          "evidence_label": "Product page, named-component section"
        }
      ],
      "research_confidence": "medium",
      "hardware": {
        "compute": "Not published.",
        "sensors": "An interactive screen, LiDAR, a microphone, a dexterous hand, two RGB-D cameras, a fisheye camera, a speaker, and force/torque sensors. The A2 Ultra page's parameter table lists a 3D LiDAR and an RGB-D camera under its perception system.",
        "actuation": "40 degrees of freedom plus active DoF, on what the page calls a universal humanoid skeletal structure with a modular design and customizable exterior options. The page says the self-developed integrated joint delivers peak torque of 512 Nm. The A2 Ultra page's table gives the A2 Ultra as 40 total DoF with 2 neck, 7 per arm, 6 per leg, and a 6-DoF dexterous hand.",
        "power": "A 700 Wh battery with about 2 hours of runtime and battery-swapping support."
      },
      "developer_access": "AgiBot's own open-source Link-U OS documents a route for running the reader's own policy on the A2. Its Link-U OS Alpha documentation states the platform is based on the production-proven full-size Agibot Expedition A2, gives an all-in-one toolchain on MuJoCo and Isaac Gym covering training, simulation verification and real robot deployment, trains locomotion with PPO, and states that a single policy codebase runs across MuJoCo simulation and real robots. Its deployment guide targets the Agibot Expedition A2 Flagship Edition, and its rl_deploy repository publishes an aimrl_sdk Python package that streams observation frames from the arm, leg and IMU topics and publishes joint commands for Python-side policy deployment. The guide's user levels name hardware developers with A2 robots for hands-on development and verification. No X2 or A3 equivalent was found.",
      "terms": [
        "terms_of_sale"
      ],
      "terms_note": "AgiBot's store publishes Terms of Service last updated 2026-02-04, covering access, payment, shipping, returns and liability, alongside separate shipping, refund and privacy policies. No SDK or software licence for the A2 was found at review time; the maker's open-source Link-U OS carries its own Mulan PSL v2 licence, which the maker's product pages do not reference.",
      "terms_evidence": [
        {
          "terms_kind": "terms_of_sale",
          "scope": "AGIBOT Store terms of service",
          "kind": "web_terms",
          "url": "https://store.agibot.com/policies/terms-of-service",
          "verified_at": "2026-10-03"
        }
      ],
      "not_verified": "The four named components and the Link-U OS policy route are AgiBot's own claims; the Atlas has not verified them. Every source is an AgiBot web page or a repository file AgiBot can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Product page",
          "url": "https://www.agibot.com/products/A2",
          "verified_at": "2026-10-03"
        },
        {
          "kind": "web",
          "role": "named_model",
          "label": "Product page, named-component section",
          "url": "https://www.agibot.com/products/A2",
          "verified_at": "2026-10-03"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "Link-U OS Alpha documentation",
          "url": "https://www.agibot.com/filepage/282.html",
          "verified_at": "2026-10-03"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "AgiBot A2 Ultra product page",
          "url": "https://www.agibot.com/products/A2_Ultra",
          "verified_at": "2026-10-03"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "AgiBot store A2 Lite page",
          "url": "https://store.agibot.com/products/a2-lite",
          "verified_at": "2026-10-03"
        }
      ],
      "verified_at": "2026-10-03"
    },
    {
      "id": "booster-t1",
      "name": "Booster T1",
      "manufacturer": "Booster Robotics",
      "url": "https://www.booster.tech/booster-t1/",
      "repo": "BoosterRobotics/booster_deploy",
      "first_party_domains": [
        "booster.tech",
        "github.com/boosterrobotics"
      ],
      "description": "Booster Robotics' small humanoid development platform, listed on its product page as \"~1.2m, ~30kg, 23-41 DoFs\" and sold in Basic, Standard and Customized configurations. Booster names no learned model for it; its developer guide documents Python and C++ SDKs for sending control commands, and its open-source repositories document training reinforcement-learning locomotion policies and deploying exported policies to a physical T1.",
      "variants": "Basic, Standard and Customized on the product page. The Basic and Standard columns list 23 degrees of freedom, and the Customized column lists 31 with grippers and 41 with dexterous hands. Booster sells the K1 and T2 on product pages of their own, which this record does not cover.",
      "form_factor": "humanoid",
      "availability": "enterprise_sales",
      "availability_note": "Booster's product page carries Buy Now buttons that open an inquiry form on its store page, which says \"Booster Robotics will contact you\" and gives a sales email address. The product page states no price and no order path.",
      "ai_basis": [
        "open_model_interface"
      ],
      "named_models": [],
      "research_confidence": "high",
      "hardware": {
        "compute": "An NVIDIA AGX Orin GPU rated at \"200 TOPS AI performance\" in every configuration, and an Intel i7 1370p CPU listed for the Standard and Customized configurations.",
        "sensors": "A depth camera, a 9-axis IMU, and a circular 6-microphone array with a speaker. Wi-Fi 6 and Bluetooth 5.2 are listed as supported.",
        "actuation": "23 degrees of freedom in the Basic and Standard configurations, 6 per leg, 1 at the waist, 4 per arm (extensible) and 2 in the head, with a maximum peak torque of 130 N·m and dual joint encoders. The page states a size of 118 x 47 x 23 cm and a weight of about 30 kg.",
        "power": "A 10.5 Ah battery, with about 2 hours of walking and about 4 hours of standing listed for the battery life."
      },
      "developer_access": "Booster's developer guide documents a Python SDK for \"connecting to real or virtual K1/T1 robots to read data and send control commands\" and a C++ SDK \"covering both high-level RPC and low-level DDS interfaces\". Its booster_deploy repository says it \"supports running control policies on Booster robots (sim2real) and MuJoCo (sim2sim)\", with TorchScript and ONNX checkpoints chosen by file suffix and a T1 robot configuration. Its booster_train repository documents training reinforcement-learning tasks with \"support for the T2, T1, and K1 platforms\" and exporting the trained policy \"for deployment on real robots\", and its booster_gym repository documents training a T1 locomotion policy and deploying it to the physical robot. The product page lists secondary development as supported.",
      "terms": [
        "sdk_license",
        "software_terms"
      ],
      "terms_note": "Booster's SDK repository says it is licensed under the Apache License, Version 2.0, and its LICENSE file carries the Apache licence notice rather than the full licence text. Booster's Service Terms & Policies page is a use policy for the robot product: it prohibits private disassembly or modification, restricts use of \"the functions and services of this product\" for weapons and export-controlled purposes, and says using the product is acceptance of the page, so it is recorded as software terms. It is not a sale contract, and no terms of sale were found at review time. The product page lists a one-year warranty.",
      "terms_evidence": [
        {
          "terms_kind": "sdk_license",
          "scope": "booster_robotics_sdk licence file",
          "kind": "web_terms",
          "url": "https://github.com/BoosterRobotics/booster_robotics_sdk/blob/main/LICENSE",
          "verified_at": "2026-10-07"
        },
        {
          "terms_kind": "software_terms",
          "scope": "Service Terms & Policies page",
          "kind": "web_terms",
          "url": "https://www.booster.tech/service",
          "verified_at": "2026-10-07"
        }
      ],
      "not_verified": "The documented policy interfaces are Booster's own claims; the Atlas has not verified them. Every source is a Booster web page or a file in a repository Booster can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Product page",
          "url": "https://www.booster.tech/booster-t1/",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "git_blob",
          "role": "model_interface",
          "label": "booster_deploy README",
          "url": "https://github.com/BoosterRobotics/booster_deploy/blob/main/README.md",
          "blob_sha": "44bd5a4fda33db4b43a7dade1e9a3c00fc9f984f",
          "immutable_url": "https://api.github.com/repos/BoosterRobotics/booster_deploy/git/blobs/44bd5a4fda33db4b43a7dade1e9a3c00fc9f984f",
          "path": "README.md"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "booster_train README",
          "url": "https://github.com/BoosterRobotics/booster_train/blob/main/README.md",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "booster_gym README",
          "url": "https://github.com/BoosterRobotics/booster_gym/blob/main/README.md",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "technical_documentation",
          "label": "Developer guide",
          "url": "https://docs.booster.tech/developer-guide/",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Open-source development page",
          "url": "https://www.booster.tech/open-source",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Store inquiry page",
          "url": "https://www.booster.tech/store",
          "verified_at": "2026-10-07"
        }
      ],
      "verified_at": "2026-10-07"
    },
    {
      "id": "deep-robotics-lite3",
      "name": "DEEP Robotics Lite3",
      "manufacturer": "DEEP Robotics",
      "url": "https://www.deeprobotics.cn/en/index/product1.html",
      "repo": "DeepRoboticsLab/Lite3_rl_deploy",
      "first_party_domains": [
        "deeprobotics.cn",
        "github.com/DeepRoboticsLab"
      ],
      "description": "DEEP Robotics' compact quadruped robot dog, sold as the Lite3 in Basic, Venture, Pro and LIDAR versions. DEEP Robotics names no learned model for it; its product page lists secondary development with a motion-control SDK, and its repositories document training a reinforcement-learning locomotion policy for the Lite3 and deploying it to the physical robot.",
      "variants": "Basic, Venture, Pro and LIDAR versions on the product page, which list the same secondary-development row for all four and add obstacle avoidance and auto navigation as the version rises.",
      "form_factor": "quadruped",
      "availability": "orderable",
      "availability_note": "DEEP Robotics' Lite3 shop page states a price, has a BUY NOW button, asks buyers to contact it before purchase and estimates shipping in 30 days, and its Delivery Policy says the product is delivered within 30 working days after the order is placed. Its purchase page also offers a purchase intention form that a consultant answers.",
      "ai_basis": [
        "open_model_interface"
      ],
      "named_models": [],
      "research_confidence": "high",
      "hardware": {
        "compute": "Not published.",
        "sensors": "Front and rear obstacle stop and visual following on the Basic and Venture versions, forward obstacle avoidance added on the Pro version, and auto navigation added on the LIDAR version. Hardware interfaces run from two Ethernet ports on the Venture version to USB 3.0, HDMI, Ethernet and a power connector on the Pro and LIDAR versions.",
        "actuation": "The page says \"50% joint torque increased\" and lists a standing size of 610 x 370 x 406 mm, a weight of 12 kg with battery, a walking load of 5 kg, a 40-degree slope and an 18 cm stair for the Basic version. The Venture, Pro and LIDAR versions list loads of 4.5, 4 and 2.5 kg and weights of 12.2, 12.9 and 13.5 kg. The page lists no joint count.",
        "power": "A battery endurance of 1.5 to 2 hours and a mileage of 5 km on the Basic version, falling to 2.7 km on the LIDAR version. External power input of 24 V, 12 V and 5 V is listed on the Venture, Pro and LIDAR versions."
      },
      "developer_access": "DEEP Robotics' product page lists secondary development as \"Provide models, motion control SDK and APIs, as well as perception development interfaces with sample code.\" Its rl_training repository \"is a RL training library for deeprobotics robots, based on IsaacLab\", lists the Lite3 among its environments, and says \"If you want to deploy policies in mujoco or real robots, please use the corresponding deploy repo\". Its Lite3_rl_deploy repository documents Sim-to-Sim and Sim-to-Real deployment to the Lite3 and says \"To run the policy file trained with RL, you need to link the onnxruntime library, which supports models in the .onnx format.\" Its Lite3_MotionSDK repository documents the motion SDK and says Lite3_rl_deploy \"is a implementation of rl on lite3 robot\".",
      "terms": [
        "terms_of_sale",
        "sdk_license"
      ],
      "terms_note": "DEEP Robotics' Lite3 shop page carries a Delivery Policy, an after-sales statement that the product does not support returns, and a warranty policy that starts when the buyer receives the goods; its Support page says the after-sales terms apply only in Chinese mainland. The Lite3_rl_deploy and rl_training repositories are released under the BSD 3-Clause License and the Lite3_MotionSDK repository under the MIT License.",
      "terms_evidence": [
        {
          "terms_kind": "terms_of_sale",
          "scope": "Delivery, after-sales and warranty policy on the Lite3 shop page",
          "kind": "web_terms",
          "url": "https://www.deeprobotics.cn/en/index/lite3.html",
          "verified_at": "2026-10-07"
        },
        {
          "terms_kind": "sdk_license",
          "scope": "Lite3_rl_deploy licence file",
          "kind": "web_terms",
          "url": "https://github.com/DeepRoboticsLab/Lite3_rl_deploy/blob/main/LICENSE",
          "verified_at": "2026-10-07"
        }
      ],
      "not_verified": "The documented policy interfaces are DEEP Robotics' own claims; the Atlas has not verified them. Every source is a DEEP Robotics web page or a file in a repository DEEP Robotics can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Lite3 product page",
          "url": "https://www.deeprobotics.cn/en/index/product1.html",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "git_blob",
          "role": "model_interface",
          "label": "Lite3_rl_deploy English README",
          "url": "https://github.com/DeepRoboticsLab/Lite3_rl_deploy/blob/main/README_EN.md",
          "blob_sha": "6bb01cdc37417f1095278fe9a5bc05f53b23a798",
          "immutable_url": "https://api.github.com/repos/DeepRoboticsLab/Lite3_rl_deploy/git/blobs/6bb01cdc37417f1095278fe9a5bc05f53b23a798",
          "path": "README_EN.md"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "rl_training README",
          "url": "https://github.com/DeepRoboticsLab/rl_training/blob/main/README.md",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "technical_documentation",
          "label": "Lite3_MotionSDK README",
          "url": "https://github.com/DeepRoboticsLab/Lite3_MotionSDK/blob/main/README.md",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Lite3 shop page",
          "url": "https://www.deeprobotics.cn/en/index/lite3.html",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Purchase page",
          "url": "https://www.deeprobotics.cn/en/index/buy.html",
          "verified_at": "2026-10-07"
        }
      ],
      "verified_at": "2026-10-07"
    },
    {
      "id": "engineered-arts-ameca",
      "name": "Ameca",
      "manufacturer": "Engineered Arts",
      "url": "https://engineeredarts.com/robots/ameca",
      "first_party_domains": [
        "engineeredarts.com"
      ],
      "description": "Engineered Arts' full-size social humanoid robot with a lifelike face and a 61-degree-of-freedom body, run by the company's Tritium software suite. Engineered Arts names no learned model that drives the robot's motion; its specifications list default Tritium AI integrations with OpenAI ChatGPT, OpenAI Whisper and Amazon Poly, and its Tritium AI page says the Pro agent platform can use a range of LLMs or a custom model.",
      "variants": "Ameca (generation 2.6) on the product page. Engineered Arts sells Ameca Desktop, Ami Desktop, Azi Desktop and Mesmer on pages of their own, which this record does not cover.",
      "form_factor": "humanoid",
      "availability": "enterprise_sales",
      "availability_note": "Engineered Arts' Ameca page has Book a Demo, Get a Quote and Rent buttons that open sales and rental inquiry forms, and the specifications say to configure a robot with \"a customized Ameca quote\". The pages state no price and no order path.",
      "ai_basis": [
        "open_model_interface"
      ],
      "named_models": [],
      "research_confidence": "medium",
      "hardware": {
        "compute": "An embedded robot PC, listed with RJ45 Ethernet, two Thunderbolt ports and two USB ports; no processor is named.",
        "sensors": "Two 8 MP cameras, one in each eye, two microphones, one in each ear, a 4-channel chest microphone, and 360-degree LiDAR safety sensors.",
        "actuation": "61 actuated degrees of freedom: 27 in the head, 5 in the neck, 8 in the shoulders, 10 in the arms, 8 in the hands and 3 in the torso. The specifications list a height of 1870 mm, a weight of 62 kg and a 600 mm base.",
        "power": "Two mains power outlets at 110-240 V AC, 50/60Hz, 400W, and a robot power supply of 2 x 24Vdc, 200W."
      },
      "developer_access": "Engineered Arts' specifications list a control API of \"REST, WebSocket, Python & Node.js SDKs\" and AI integration through \"Tritium AI. Default integrations with OpenAI ChatGPT, OpenAI Whisper, Amazon Poly. Custom integrations available.\" Its Ameca page says \"Build, train, and deploy your AI models with ease.\" and that \"Tritium AI is a cloud-based service that equips a humanoid robot with the ability to talk, listen, and generate responses using advanced AI technologies.\" Its Tritium AI page says the Pro agent platform lets you \"connect MCP servers and external API integrations, choose from a range of LLMs or bring your own custom model\". The model sits behind Tritium's cloud-based AI service rather than on the robot, and the developer documentation at docs.engineeredarts.co.uk is behind a login, so this record rests on the product and specification pages.",
      "terms": [
        "none_published"
      ],
      "terms_note": "Engineered Arts' Terms of Service, last updated August 2025, cover its website, products and services in general terms and are a site-level agreement, not terms of sale or software terms, so they are not classified. The specifications list a one-year warranty on parts and labor. No terms of sale or SDK licence were found at review time.",
      "terms_evidence": [],
      "not_verified": "The documented model route is Engineered Arts' own claim; the Atlas has not verified it. Every source is an Engineered Arts web page that the company can change at any time, and the pages render their text with JavaScript, so a link check sees no text to monitor.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Ameca product page",
          "url": "https://engineeredarts.com/robots/ameca",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "Tritium AI page",
          "url": "https://engineeredarts.com/software/tritium/ai",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "technical_documentation",
          "label": "Ameca specifications page",
          "url": "https://engineeredarts.com/robots/ameca/specs",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Terms of Service",
          "url": "https://engineeredarts.com/terms",
          "verified_at": "2026-10-07"
        }
      ],
      "verified_at": "2026-10-07"
    },
    {
      "id": "figure-03",
      "name": "Figure 03",
      "manufacturer": "Figure AI",
      "url": "https://www.figure.ai/figure",
      "first_party_domains": [
        "figure.ai"
      ],
      "description": "Figure AI's third-generation humanoid robot, which Figure says is designed for household tasks and built around Helix, its vision-language-action model.",
      "form_factor": "humanoid",
      "availability": "announced",
      "availability_note": "Figure's site offers no way to order Figure 03 and describes no pilot programme. Its news pages describe factory deployments instead: Figure 03 arrived at BMW Group Plant Spartanburg in 2026, after Figure 02 contributed to the assembly of 30,000 cars at BMW the year before.",
      "ai_basis": [
        "vendor_named_model"
      ],
      "named_models": [
        {
          "name": "Helix",
          "kind": "vision_language_action",
          "role_note": "Figure says Helix controls the full loop of perception, movement, and reasoning, on board and in real time, and that it outputs high-rate continuous control of the entire humanoid upper body, including wrists, torso, head, and individual fingers.",
          "evidence_label": "Helix page"
        },
        {
          "name": "Helix 02",
          "kind": "vision_language_action",
          "role_note": "Figure's BMW deployment page calls Helix 02 its proprietary pixels-to-actions VLA and says it coordinates Figure 03's hands, arms, torso, and feet, letting the robot manipulate parts while stepping and repositioning its body.",
          "evidence_label": "Figure 03 at BMW"
        }
      ],
      "research_confidence": "medium",
      "hardware": {
        "compute": "Not published.",
        "sensors": "A camera system that Figure says delivers twice the frame rate, one-quarter the latency, and a 60% wider field of view per camera, a palm camera in each hand, and fingertip tactile sensors that detect forces as small as three grams. An upgraded audio system has a repositioned microphone.",
        "actuation": "Electric. Figure says the actuators perform at 2x faster speeds with improved torque density; the product page lists a 20 kg payload and a speed of 1.2 m/s.",
        "power": "A battery certified to the UN38.3 standard, with a 5-hour runtime on the product page. Charging coils in the robot's feet let it step onto a wireless stand and charge at 2 kW."
      },
      "developer_access": "Figure documents no SDK, API or programme for running your own model on Figure 03.",
      "terms": [
        "none_published"
      ],
      "terms_note": "The only terms page on figure.ai, last updated February 01, 2023, governs use of the figure.ai website and says nothing about the robot's sale, software, or warranty.",
      "terms_evidence": [],
      "not_verified": "Helix, and what it does on the robot, is Figure's own claim; the Atlas has not verified it. Every source is a Figure web page that Figure can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Product page",
          "url": "https://www.figure.ai/figure",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "technical_documentation",
          "label": "Introducing Figure 03",
          "url": "https://www.figure.ai/news/introducing-figure-03",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "named_model",
          "label": "Helix page",
          "url": "https://www.figure.ai/helix",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "named_model",
          "label": "Helix announcement",
          "url": "https://www.figure.ai/news/helix",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "named_model",
          "label": "Figure 03 at BMW",
          "url": "https://www.figure.ai/news/f-03-at-bmw",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Website terms",
          "url": "https://www.figure.ai/terms-and-conditions",
          "verified_at": "2026-09-24"
        }
      ],
      "verified_at": "2026-09-24"
    },
    {
      "id": "galbot-g1",
      "name": "Galbot G1",
      "manufacturer": "Galbot",
      "url": "https://www.galbot.com/g1/",
      "first_party_domains": [
        "galbot.com"
      ],
      "description": "Galbot's wheeled humanoid, a dual-arm upper body with a neck, waist and leg lift on a four-wheel omnidirectional chassis, which its own page calls a \"Humanoid Structural Design\". Galbot's home page names the AstraBrain family of models and says what each does, its G1 page names AstraBrain as the robot's technology, and its developer platform documents an SDK with a control route for end-to-end model actions. The pages do not say which of the three models runs on which G1 configuration.",
      "variants": "Galbot's developer platform lists the G1 and a G1 Lite as compatible robots; its G1 page lists end effectors swappable between dexterous hands, suction cups and grippers. This record covers the G1 page.",
      "form_factor": "humanoid",
      "availability": "orderable",
      "availability_note": "Galbot's G1 page has a Buy Now button that opens a JD.com product page, a third-party retailer the record does not cite, and a Contact Us button. The page states no price and no delivery time.",
      "ai_basis": [
        "vendor_named_model",
        "open_model_interface"
      ],
      "named_models": [
        {
          "name": "AstraBrain-WAM",
          "kind": "other_learned",
          "role_note": "Galbot's home page says \"AstraBrain-WAM is a general-purpose cerebrum model that unlocks the value of diverse data at global scale.\" Its architecture diagram labels the cerebrum a 3B-13B World Action Model that interprets task semantics, plans long-horizon tasks and issues high-level commands.",
          "evidence_label": "Galbot home page"
        },
        {
          "name": "AstraBrain-WBC",
          "kind": "other_learned",
          "role_note": "Galbot's home page says \"AstraBrain-WBC is the world's first general-purpose humanoid cerebellum GPT foundation model.\" Its architecture diagram labels the cerebellum an 80-300M Transformer that does real-time control and whole-body and whole-hand control.",
          "evidence_label": "Galbot home page"
        },
        {
          "name": "AstraBrain-Dex",
          "kind": "other_learned",
          "role_note": "Galbot's home page says \"AstraBrain-Dex is a world model that enables robots to perform high-precision in-hand manipulation with unprecedented dexterity.\"",
          "evidence_label": "Galbot home page"
        }
      ],
      "research_confidence": "medium",
      "hardware": {
        "compute": "An NVIDIA AGX Orin 64GB computing platform rated at 275 TOPS, with Wi-Fi 2.4/5GHz and Bluetooth 5.2.",
        "sensors": "A binocular camera in the head, four RGB cameras and an IMU in the torso, two depth cameras and two 6-axis force sensors at the wrists, and a 3D LiDAR, eight ultrasonic sensors and an IMU in the chassis. A 5.5-inch touchscreen, two linear 4-microphone arrays and two 5 W speakers are listed.",
        "actuation": "21 degrees of freedom excluding the chassis and end effector, 2 in the neck, 7 in each arm, 3 in the waist and 2 in the legs, with a payload of 5 kg per arm and 10 kg in total, a 4-wheel omnidirectional chassis and a maximum speed of 1.5 m/s. The page states a height of up to 1730 mm and a weight of 92.5 kg.",
        "power": "A 48 V, 30 Ah battery with an 8-hour operating time and 3.5-hour adapter charging, and an IP54 ingress protection rating."
      },
      "developer_access": "Galbot's developer platform describes GalbotSDK with a high-level API that invokes the robot's built-in planning, navigation and whole-body control algorithms and a low-level API that directly controls joint motors, sets chassis velocity and reads raw sensor streams, and it lists the Control domain as \"High-precision, low-latency actuator control with end-to-end model action passthrough\". The platform adds an online simulation, one-click deployment from the platform to a real robot, and standard G1 and S1 digital models in URDF, MJCF and USD. A free developer tier lists GalbotSDK, the docs center and the digital models.",
      "terms": [
        "none_published"
      ],
      "terms_note": "Galbot's Terms of Use apply to the Galbot website and say it may be used for informational purposes only; that is a site notice, not terms of sale or software terms, and it is not classified. The G1 page and developer platform were read at review time and no terms of sale, SDK licence or warranty page was found on either.",
      "terms_evidence": [],
      "not_verified": "The named models and the documented SDK route are Galbot's own claims; the Atlas has not verified them. Every source is a Galbot web page that Galbot can change at any time, and the pages are bilingual, with the English text a rendered translation of the Chinese source.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "G1 product page",
          "url": "https://www.galbot.com/g1/",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "named_model",
          "label": "Galbot home page",
          "url": "https://www.galbot.com/",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "Galbot developer platform",
          "url": "https://developer.galbot.com/",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Galbot website Terms of Use",
          "url": "https://www.galbot.com/terms/",
          "verified_at": "2026-10-07"
        }
      ],
      "verified_at": "2026-10-07"
    },
    {
      "id": "hello-robot-stretch-4",
      "name": "Stretch 4",
      "manufacturer": "Hello Robot",
      "url": "https://hello-robot.com/stretch-4/",
      "repo": "hello-robot/stretch4_grasping_demo",
      "first_party_domains": [
        "hello-robot.com",
        "github.com/hello-robot"
      ],
      "description": "Hello Robot's mobile manipulator, a wheeled base carrying a telescoping lift, a single arm, and a head, sold as a research and commercial platform. Its own documentation ships a grasping demo that runs two named third-party models, and its ROS 2 packages and Python bridge are published open source.",
      "form_factor": "mobile_manipulator",
      "availability": "orderable",
      "availability_note": "Hello Robot's purchase page states a price of $29,950, accepts payment by check, wire transfer, or purchase order, and says Stretch 4 typically ships within two to four weeks of receiving a purchase order or pre-payment.",
      "ai_basis": [
        "vendor_named_model",
        "open_model_interface"
      ],
      "named_models": [
        {
          "name": "Molmo 2",
          "kind": "language_or_vision_language",
          "role_note": "Hello Robot's grasping demo says perception uses the Molmo 2 Vision-Language Model to output pixel coordinates for a target object described with text.",
          "evidence_label": "Stretch 4 grasping demo README"
        },
        {
          "name": "SAM 2",
          "kind": "vision_language_action",
          "role_note": "Hello Robot's grasping demo says SAM 2 segments the target object from Molmo 2's pixel coordinates and then tracks and segments that object over time.",
          "evidence_label": "Stretch 4 grasping demo README"
        }
      ],
      "research_confidence": "high",
      "hardware": {
        "compute": "An NVIDIA Jetson Orin NX installed within the base with 128GB NVMe and 16GB memory, with its own WiFi and Ethernet networking to the main compute. Hello Robot sells the Jetson Orin NX as an accessory described as running your AI models on-robot.",
        "sensors": "A head sensor suite of two hemispherical 3D LiDARs covering 360 by 189 degrees at over 2,000,000 measurements per second, two global-shutter RGB cameras of 2.3 megapixels calibrated to the LiDARs for RGBD data, and a 12-megapixel RGB teleoperation camera. The wrist carries an OAK-D SR camera at the roll joint, and the base carries six laser line sensors for cliff and hazard monitoring.",
        "actuation": "A 3-omniwheel holonomic drive with three 8-inch omniwheels, a lift driven by a closed-loop stepper motor through a low gear-ratio belt drive, a single arm, and a 3-degree-of-freedom internally cabled wrist with yaw, pitch, and roll. Hello Robot states a maximum payload of 4 kg retracted and 2.5 kg extended, and that the robot weighs about 60 pounds without its battery.",
        "power": "A removable battery accessed by removing the base's top shell, weighing 30 pounds, with a barrel-jack charge port that Hello Robot restricts to its own 36V charger. The purchase page sells a LiFePO4 25.6V 20A 512W spare battery and ballast, and a docking station with three reflective ArUco tags that the robot uses to dock itself for wireless charging."
      },
      "developer_access": "Hello Robot publishes the robot's ROS 2 packages, including stretch_core, stretch_description, stretch_deep_perception, stretch_nav2, and a stretch_python_bridge package that gives synchronous Python access to ROS 2 image, pointcloud, transform, camera-info, and IMU topics as NumPy arrays. Its product page lists open-source ROS 2 and a Python SDK among the platform's highlights, and its documentation describes reference demos for autonomy and Embodied AI.",
      "terms": [
        "terms_of_sale"
      ],
      "terms_note": "Hello Robot's Terms of Sale cover its robots, components, and accessories, including shipping and delivery, returns within 30 days of delivery in the contiguous United States and 28 days internationally with a 10% restocking fee, and a one-year limited product warranty from delivery that excludes damage from use other than the product's intended purpose and in accordance with Hello Robot documentation. The purchase page states a 30-day return policy and a limited one-year warranty, and offers an extended three-year warranty and a Full Robot Refurb option. No separate software or SDK licence page was found at review time.",
      "terms_evidence": [
        {
          "terms_kind": "terms_of_sale",
          "scope": "Terms of Sale covering robots, components, and accessories",
          "kind": "web_terms",
          "url": "https://hello-robot.com/terms-of-sale/",
          "verified_at": "2026-09-30"
        }
      ],
      "not_verified": "The named models and the ROS 2 and Python routes are Hello Robot's own claims; the Atlas has not verified them. Every source is a Hello Robot web page or a file in a repository Hello Robot can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Stretch 4 product page",
          "url": "https://hello-robot.com/stretch-4/",
          "verified_at": "2026-09-30"
        },
        {
          "kind": "git_blob",
          "role": "named_model",
          "label": "Stretch 4 grasping demo README",
          "url": "https://github.com/hello-robot/stretch4_grasping_demo/blob/main/README.md",
          "blob_sha": "dd15c52bb6ca55d83d901a46aaa0e9b02fb0ba8d",
          "immutable_url": "https://api.github.com/repos/hello-robot/stretch4_grasping_demo/git/blobs/dd15c52bb6ca55d83d901a46aaa0e9b02fb0ba8d",
          "path": "README.md"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "Stretch Python bridge documentation",
          "url": "https://docs.hello-robot.com/stretch4-ros2-repo/stretch_python_bridge",
          "verified_at": "2026-09-30"
        },
        {
          "kind": "web",
          "role": "technical_documentation",
          "label": "Stretch 4 hardware guide",
          "url": "https://docs.hello-robot.com/stretch4-hardware-guide/stretch-4-hardware-guide",
          "verified_at": "2026-09-30"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Stretch 4 purchase page",
          "url": "https://hello-robot.com/purchase/",
          "verified_at": "2026-09-30"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Hello Robot develop page",
          "url": "https://hello-robot.com/develop/",
          "verified_at": "2026-09-30"
        }
      ],
      "verified_at": "2026-09-30"
    },
    {
      "id": "limx-tron-1",
      "name": "LimX TRON 1",
      "manufacturer": "LimX Dynamics",
      "url": "https://www.limxdynamics.com/en/products/tron1",
      "repo": "limxdynamics/tron1-rl-deploy-ros",
      "first_party_domains": [
        "limxdynamics.com",
        "github.com/limxdynamics"
      ],
      "description": "LimX Dynamics' two-legged robot, which its own pages call \"The First Multi-Modal Biped Robot\", sold in Standard and EDU editions with a foot end that switches between point-foot, sole and wheeled modes. It has no torso or arms in its base configuration. LimX names no learned model for it; its repositories document training reinforcement-learning locomotion policies for the TRON1, deploying ONNX policies to it, and driving it from an LLM voice agent.",
      "variants": "TRON 1 Std. Ed. and TRON 1 EDU Ed. on the specification page, each with point-foot, sole and wheeled foot ends. Arm, sensor and voice-interaction expansion kits are sold separately. LimX sells TRON 2, Oli and Luna as separate products, which this record does not cover.",
      "form_factor": "other",
      "availability": "enterprise_sales",
      "availability_note": "LimX's TRON 1 pages carry Buy Now buttons that open a Contact Sales form, which says \"we will contact you within 24 hours to provide more detailed product information and solutions\". The pages state no price and no order path.",
      "ai_basis": [
        "open_model_interface"
      ],
      "named_models": [],
      "research_confidence": "high",
      "hardware": {
        "compute": "A 12th Gen Intel i3 CPU with 16 GB of memory and 512 GB of storage.",
        "sensors": "The specification table's sensor row lists an RGBD camera and an IMU that provides IMU data, and the page text does not preserve which edition carries the camera. The overview page describes a Sensor Expansion Kit that integrates LiDAR and a depth camera and a Voice Interaction Kit with an NVIDIA NX module and a microphone array.",
        "actuation": "Actuators with a rated torque of 30 N·m, a peak torque of 60 N·m and a peak speed of 15 rad/s, in a body of at most 392 x 420 x 845 mm and at most 20 kg, with a load capacity of up to 10 kg. Point-foot and sole speeds are listed below 1 m/s and wheeled speed at up to 3 m/s.",
        "power": "A 46.8 V, 4.5 Ah ternary lithium battery with a maximum power of 1,000 W, a range of up to 2 hours, quick battery swapping, and a charging time of under 1 hour from 20% to 80%."
      },
      "developer_access": "LimX's TRON 1 overview page lists a \"Fully Open SDK and Hardware Interface\", development \"in Python, C++ not required\", and a \"Detailed user manual, professional secondary development guide and code examples\". Its tron1-rl-deploy-ros repository says it will \"Deploy trained reinforcement learning (RL) walking policies to TRON1 biped and wheel-legged robots via ROS Noetic\" and \"Loads ONNX models through `ros_control` and runs them on Gazebo simulation or real hardware\". Its tron1-rl-isaaclab repository documents training PPO locomotion policies and extends Isaac Lab \"to support sim-to-real training for TRON1 robot variants\", and its tron1-agent repository documents a voice agent that relies on LLMs for dialogue and says it \"supports Tron action execution calls\".",
      "terms": [
        "sdk_license",
        "warranty_only"
      ],
      "terms_note": "LimX's Terms & Policies page opens with an after-sales service policy for robotic products sold by LimX Dynamics Technology Co.,Ltd., covering returns, exchanges, warranty exclusions and a limit on liability; its other tabs (a disclaimer, privacy policy and terms of service) do not load as page text and were not read, so no sale terms beyond the after-sales policy are recorded. The tron1-rl-deploy-ros repository is released under the Apache License 2.0 and carries the full licence text; the limxsdk-lowlevel library the deployment repositories install ships as binary wheels, and no separate licence for it was read.",
      "terms_evidence": [
        {
          "terms_kind": "sdk_license",
          "scope": "tron1-rl-deploy-ros licence file",
          "kind": "web_terms",
          "url": "https://github.com/limxdynamics/tron1-rl-deploy-ros/blob/master/LICENSE",
          "verified_at": "2026-10-07"
        },
        {
          "terms_kind": "warranty_only",
          "scope": "After-sales service policy on the Terms & Policies page",
          "kind": "web_terms",
          "url": "https://www.limxdynamics.com/en/policy",
          "verified_at": "2026-10-07"
        }
      ],
      "not_verified": "The documented policy interfaces are LimX's own claims; the Atlas has not verified them. Every source is a LimX web page or a file in a repository LimX can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "TRON 1 overview page",
          "url": "https://www.limxdynamics.com/en/products/tron1",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "git_blob",
          "role": "model_interface",
          "label": "tron1-rl-deploy-ros README",
          "url": "https://github.com/limxdynamics/tron1-rl-deploy-ros/blob/master/README.md",
          "blob_sha": "6097ceb51cc4edaea8a83352853f41bde338b104",
          "immutable_url": "https://api.github.com/repos/limxdynamics/tron1-rl-deploy-ros/git/blobs/6097ceb51cc4edaea8a83352853f41bde338b104",
          "path": "README.md"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "tron1-rl-isaaclab README",
          "url": "https://github.com/limxdynamics/tron1-rl-isaaclab/blob/main/README.md",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "tron1-agent README",
          "url": "https://github.com/limxdynamics/tron1-agent/blob/main/README.md",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "technical_documentation",
          "label": "TRON 1 specification page",
          "url": "https://www.limxdynamics.com/en/products/tron1/spec",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "tron1-rl-deploy-python README",
          "url": "https://github.com/limxdynamics/tron1-rl-deploy-python/blob/main/README.md",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Contact Sales page",
          "url": "https://www.limxdynamics.com/en/order",
          "verified_at": "2026-10-07"
        }
      ],
      "verified_at": "2026-10-07"
    },
    {
      "id": "neo",
      "name": "NEO",
      "manufacturer": "1X Technologies",
      "url": "https://www.1x.tech/neo",
      "first_party_domains": [
        "1x.tech"
      ],
      "description": "1X's humanoid robot for the home, built to take on household chores. 1X names the models that run it, Redwood AI and the 1X World Model, and says what each does.",
      "form_factor": "humanoid",
      "availability": "reservation",
      "availability_note": "1X takes pre-orders on its order page against a fully refundable deposit and says US deliveries start in 2026. The order page offers NEO either as a monthly subscription or to own.",
      "ai_basis": [
        "vendor_named_model"
      ],
      "named_models": [
        {
          "name": "Redwood AI",
          "kind": "vision_language_action",
          "role_note": "1X calls Redwood AI NEO's vision language model for learning and performing chores around the house, and says it is the AI model that lets NEO help around the home, moving, perceiving, and interacting with the world autonomously. 1X also says Redwood is among the first VLAs to control locomotion jointly with manipulation.",
          "evidence_label": "AI page"
        },
        {
          "name": "Redwood AI reinforcement-learning controller",
          "kind": "reinforcement_learning_policy",
          "role_note": "1X says Redwood AI's latest reinforcement-learning controller gives NEO its mobility: walking in any direction, sitting, standing, kneeling, and climbing stairs using stereo vision.",
          "evidence_label": "AI page"
        },
        {
          "name": "1X World Model",
          "kind": "other_learned",
          "role_note": "1X says the 1X World Model lets NEO anticipate the outcomes of robot actions and their consequences on the world, and that it now serves as NEO's cognitive core, letting it generalise to tasks it has not seen.",
          "evidence_label": "World model page"
        }
      ],
      "research_confidence": "medium",
      "hardware": {
        "compute": "A 1X NEO Cortex chipset (Nvidia Jetson Thor), which the product page rates at up to 2070 FP4 TFLOPS of AI compute.",
        "sensors": "Dual 8.85MP 90Hz stereo fisheye cameras, four beamforming microphones, and linkwise differential IMUs.",
        "actuation": "Low-inertia tendon drives, which 1X calls 1X Tendon Drive. The product page lists 22 degrees of freedom in each hand, 7 in each arm, 3 in the neck, 2 in the spine, and 6 in each leg, with a walking speed of 1.4 m/s.",
        "power": "An 842 Wh battery with a 4-hour run time. 1X says NEO plugs itself in when it needs a charge, and that a quick charge takes 6 minutes per hour of run time."
      },
      "developer_access": "1X documents no way to run your own model or policy on NEO.",
      "terms": [
        "terms_of_sale"
      ],
      "terms_note": "The legal page publishes 1X's Pre-Order Terms. They say a buyer who is invited to order must agree to Terms of Sale that are presented at the time of purchase, so the full sale terms are not published ahead of an order. The Terms of Use link, 1x.tech/terms-and-conditions, returned a 404 at review. The order page names a 3-year warranty with the ownership option.",
      "terms_evidence": [
        {
          "terms_kind": "terms_of_sale",
          "scope": "Pre-order terms on the legal page",
          "kind": "web_terms",
          "url": "https://www.1x.tech/legal",
          "verified_at": "2026-09-24"
        }
      ],
      "not_verified": "The models named here, and what they do, are 1X's own claims; the Atlas has not verified them. Every source is a 1X web page that 1X can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Product page",
          "url": "https://www.1x.tech/neo",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "named_model",
          "label": "AI page",
          "url": "https://www.1x.tech/ai",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "named_model",
          "label": "World model page",
          "url": "https://www.1x.tech/discover/redwood-ai-world-model",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Order page",
          "url": "https://www.1x.tech/order",
          "verified_at": "2026-09-24"
        }
      ],
      "verified_at": "2026-09-24"
    },
    {
      "id": "reachy-mini",
      "name": "Reachy Mini",
      "manufacturer": "Pollen Robotics",
      "url": "https://pollen-robotics.com/reachy-mini/",
      "repo": "pollen-robotics/reachy_mini",
      "first_party_domains": [
        "pollen-robotics.com",
        "github.com/pollen-robotics"
      ],
      "description": "Pollen Robotics' desktop robot with a movable head, two antennas and a rotating body, sold as a kit in Wireless and Lite versions. It has no arms, legs or wheeled base. Pollen names no learned model for the robot itself; its documentation says it \"is designed for AI Builders\" and documents an SDK, a REST and WebSocket API, and a reference conversation app in which an LLM calls tools that move the robot.",
      "variants": "Reachy Mini Wireless, which carries its own computer and battery, and Reachy Mini Lite, which runs from the buyer's Mac, PC or Linux machine. Pollen sells Reachy 2 separately, which this record does not cover.",
      "form_factor": "other",
      "availability": "orderable",
      "availability_note": "Pollen Robotics' Reachy Mini page has Order Now buttons for the Wireless and Lite kits that open its store, offers its distributor Seeed Studio outside the EU, UK, US and Canada, states prices, and says the lead time is up to 90 days after purchase. Both versions ship as DIY kits.",
      "ai_basis": [
        "open_model_interface"
      ],
      "named_models": [],
      "research_confidence": "high",
      "hardware": {
        "compute": "A Raspberry Pi 4 Compute Module (CM4104016 with Wi-Fi, 4 GB of RAM and 16 GB of flash) in the Wireless version. The Lite version uses the buyer's computer.",
        "sensors": "A wide-angle 12 MP autofocus camera, a four-microphone array and a speaker, with an accelerometer on the Wireless version.",
        "actuation": "Dynamixel motors driving 6 degrees of freedom in the head, 1 rotation of the body and 1 rotation of each of the two antennas, in a body of 30 x 20 x 15.5 cm extended and 1.475 kg.",
        "power": "A 6.8 to 7.6 V input and, in the Wireless version, a LiFePO4 2000 mAh, 6.4 V, 12.8 Wh battery. The Lite version is powered from a wall outlet."
      },
      "developer_access": "Pollen's integration guide opens \"Reachy Mini is designed for AI Builders. Here is how to integrate LLMs and share your work.\" and says \"The Daemon exposes full control via REST.\" Its AI-integration guide describes the architecture as \"LLM decides → Tool call (e.g., \"dance\") → Queue move → Control loop executes smoothly\", says \"The LLM doesn't control motors directly\", and lists the tools the reference app gives the LLM: move_head, dance, play_emotion, camera and head_tracking. The reference reachy_mini_conversation_app repository describes itself as a \"Conversational app for the Reachy Mini robot combining realtime voice, vision, personality-aware tools, and choreographed motion.\" Pollen's page says the robot's built-in conversation is \"Powered by a realtime voice model\" without naming one.",
      "terms": [
        "terms_of_sale",
        "sdk_license"
      ],
      "terms_note": "Pollen Robotics SAS's general terms and conditions of sale apply to any inquiry, quotation, order or delivery of its products. The reachy_mini repository is licensed under the Apache 2.0 License, and its README says the hardware design files are licensed under Creative Commons BY-SA-NC.",
      "terms_evidence": [
        {
          "terms_kind": "terms_of_sale",
          "scope": "General terms and conditions of sale",
          "kind": "web_terms",
          "url": "https://pollen-robotics.com/general-terms-and-conditions-of-sales/",
          "verified_at": "2026-10-07"
        },
        {
          "terms_kind": "sdk_license",
          "scope": "reachy_mini licence file",
          "kind": "web_terms",
          "url": "https://github.com/pollen-robotics/reachy_mini/blob/develop/LICENSE",
          "verified_at": "2026-10-07"
        }
      ],
      "not_verified": "The documented model interface is Pollen Robotics' own claim; the Atlas has not verified it. Every source is a Pollen Robotics web page or a file in a repository Pollen can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Reachy Mini product page",
          "url": "https://pollen-robotics.com/reachy-mini/",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "git_blob",
          "role": "model_interface",
          "label": "Integrations and apps guide",
          "url": "https://github.com/pollen-robotics/reachy_mini/blob/develop/docs/source/SDK/integration.md",
          "blob_sha": "f582594886ac8f57bd7348a7d1cbd7f450e4cce4",
          "immutable_url": "https://api.github.com/repos/pollen-robotics/reachy_mini/git/blobs/f582594886ac8f57bd7348a7d1cbd7f450e4cce4",
          "path": "docs/source/SDK/integration.md"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "AI integration guide",
          "url": "https://github.com/pollen-robotics/reachy_mini/blob/develop/skills/ai-integration.md",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "Conversation app README",
          "url": "https://github.com/pollen-robotics/reachy_mini_conversation_app/blob/main/README.md",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "technical_documentation",
          "label": "Hardware datasheet",
          "url": "https://github.com/pollen-robotics/reachy_mini/blob/develop/docs/source/platforms/reachy_mini/hardware.md",
          "verified_at": "2026-10-07"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "reachy_mini README",
          "url": "https://github.com/pollen-robotics/reachy_mini/blob/develop/README.md",
          "verified_at": "2026-10-07"
        }
      ],
      "verified_at": "2026-10-07"
    },
    {
      "id": "spot",
      "name": "Spot",
      "manufacturer": "Boston Dynamics",
      "url": "https://bostondynamics.com/products/spot/",
      "first_party_domains": [
        "bostondynamics.com",
        "github.com/boston-dynamics"
      ],
      "description": "Boston Dynamics' legged robot for automated sensing, inspection, and data capture. Its SDK documents a way to run your own trained model with Spot, and Boston Dynamics says it has built reinforcement learning into Spot's walking control.",
      "form_factor": "quadruped",
      "availability": "enterprise_sales",
      "availability_note": "Spot is sold through Boston Dynamics' sales team: the Spot sales page asks buyers to contact the team to find the right implementation for their application.",
      "ai_basis": [
        "vendor_named_model",
        "open_model_interface"
      ],
      "named_models": [
        {
          "name": "Reinforcement-learning locomotion controller",
          "kind": "reinforcement_learning_policy",
          "role_note": "Boston Dynamics says it has integrated reinforcement learning into Spot's locomotion control system, which has historically used model predictive control.",
          "evidence_label": "Reinforcement learning blog"
        }
      ],
      "research_confidence": "high",
      "hardware": {
        "compute": "Not published.",
        "sensors": "Terrain sensing with a 360° horizontal field of view and a 4 m range, and built-in stereo cameras. The optional arm's gripper adds time-of-flight, IMU, and 4K RGB sensors.",
        "actuation": "A maximum speed of 1.6 m/s, a 300 mm maximum step height, and a 14 kg payload limit. The optional arm has six degrees of freedom plus a gripper, reaches 984 mm at full extension, and lifts up to 11 kg.",
        "power": "A 564 Wh battery with an average run time of 90 minutes and a 60-minute recharge. Missions can be launched from the Spot Dock."
      },
      "developer_access": "The Spot SDK's Python client library can control Spot and read its sensor and health information. Its network compute bridge runs a model you have trained on a compute payload or a networked server, and your script commands the robot with the results. The Joint Control API, a beta that needs a special-permissions licence, streams low-level joint commands. Boston Dynamics' own demo drove Spot with Google's Gemini Robotics-ER 1.5 through the SDK.",
      "terms": [
        "sdk_license"
      ],
      "terms_note": "The Spot SDK ships under Boston Dynamics' own Software Development Kit License. The website's Terms of Use say Boston Dynamics' obligations for its products are governed solely by the agreements under which they are provided, and those purchase agreements are not published. The specification sheet mentions a one-year limited warranty.",
      "terms_evidence": [
        {
          "terms_kind": "sdk_license",
          "scope": "Spot SDK licence file",
          "kind": "web_terms",
          "url": "https://github.com/boston-dynamics/spot-sdk/blob/master/LICENSE",
          "verified_at": "2026-09-24"
        }
      ],
      "not_verified": "The reinforcement-learning controller and the SDK's model interfaces are Boston Dynamics' own claims; the Atlas has not verified them. Every source is a Boston Dynamics web page or repository file that Boston Dynamics can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Product page",
          "url": "https://bostondynamics.com/products/spot/",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "technical_documentation",
          "label": "Spot specifications",
          "url": "https://bostondynamics.com/wp-content/uploads/2020/10/spot-specifications.pdf",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "technical_documentation",
          "label": "Arm and gripper specifications",
          "url": "https://dev.bostondynamics.com/docs/concepts/arm/arm_specification.html",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "named_model",
          "label": "Reinforcement learning blog",
          "url": "https://bostondynamics.com/blog/starting-on-the-right-foot-with-reinforcement-learning/",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "Spot SDK overview",
          "url": "https://dev.bostondynamics.com/",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "Machine learning bridge",
          "url": "https://dev.bostondynamics.com/docs/concepts/network_compute_bridge",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "Joint Control API",
          "url": "https://dev.bostondynamics.com/docs/concepts/joint_control/readme",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Spot and Gemini Robotics",
          "url": "https://bostondynamics.com/blog/tools-for-your-to-do-list-with-spot-and-gemini-robotics/",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Spot sales",
          "url": "https://bostondynamics.com/spot-sales/",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Website terms",
          "url": "https://bostondynamics.com/terms/",
          "verified_at": "2026-09-24"
        }
      ],
      "verified_at": "2026-09-24"
    },
    {
      "id": "trossen-stationary-ai",
      "name": "Trossen Stationary AI",
      "manufacturer": "Trossen Robotics",
      "url": "https://www.trossenrobotics.com/stationary-ai",
      "first_party_domains": [
        "trossenrobotics.com"
      ],
      "description": "Trossen Robotics' bench-mounted bimanual machine-learning workstation, sold as the Stationary AI: two leader-follower pairs of WidowX AI arms with four Intel RealSense D405 cameras, a 10-inch touchscreen and a high-performance desktop, which the maker describes as an all-in-one station for data collection and model development. The maker's documentation walks through training Pi0 and Pi 0.5 policies with its arms under the openpi framework and running inference, with API and SDK support.",
      "variants": "Sold as the Stationary AI kit with frame, accessories, touchscreen and desktop; an optional high-performance Linux workstation bundle is offered alongside. The desk is not included.",
      "form_factor": "arm",
      "availability": "orderable",
      "availability_note": "The product page shows a price of $23,995.95 with BUY NOW and CUSTOM QUOTE controls and states an average production time of 2-3 weeks regardless of shipping rate, with a sales contact for more information.",
      "ai_basis": [
        "open_model_interface"
      ],
      "named_models": [],
      "research_confidence": "high",
      "hardware": {
        "compute": "A high-performance desktop is included in the kit's four-arm, touchscreen configuration. An optional Linux workstation bundle carries an NVIDIA RTX 5090 and an Intel Core Ultra 9.",
        "sensors": "Four Intel RealSense D405 cameras and a 10-inch touchscreen, in the page's specification row.",
        "actuation": "Two leader-follower pairs of WidowX AI arms, four arms in total, in a bench-mounted frame; the page notes the desk is not included. No joint count is stated on the pages read.",
        "power": "Not published."
      },
      "developer_access": "Trossen's documentation gives a supported route for running the reader's own policy on the arms. Its OpenPI tutorial walks through using the openpi framework with Trossen AI arms, fine-tuning Pi0 and Pi 0.5 policies on collected data and running inference. The product page claims extensive API and SDK support for customizing workflows with interoperability across PyTorch and TensorFlow, alongside MuJoCo simulation and LeRobot integration.",
      "terms": [
        "terms_of_sale"
      ],
      "terms_note": "Trossen's Terms & Conditions, last updated July 10, 2026, cover products, purchases and payment, shipping, and a return and refund policy, so they are recorded as terms of sale. The product page lists a 3-year warranty on the workstation bundle. No SDK licence was found at review time.",
      "terms_evidence": [
        {
          "terms_kind": "terms_of_sale",
          "scope": "Terms & Conditions: products, purchases and payment, shipping, return and refund policy",
          "kind": "web_terms",
          "url": "https://www.trossenrobotics.com/terms-conditions",
          "verified_at": "2026-10-10"
        }
      ],
      "not_verified": "The OpenPI policy route and the kit's capabilities are Trossen Robotics' own claims; the Atlas has not verified them. Every source is a Trossen Robotics web page or documentation page the company can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Stationary AI product page",
          "url": "https://www.trossenrobotics.com/stationary-ai",
          "verified_at": "2026-10-10"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "OpenPI tutorial: using the openpi framework with Trossen AI arms",
          "url": "https://docs.trossenrobotics.com/trossen_arm/main/tutorials/openpi",
          "verified_at": "2026-10-10"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "About page: maker of robotic arms and AI-driven hardware",
          "url": "https://www.trossenrobotics.com/about",
          "verified_at": "2026-10-10"
        }
      ],
      "verified_at": "2026-10-10"
    },
    {
      "id": "unitree-g1",
      "name": "Unitree G1",
      "manufacturer": "Unitree Robotics",
      "url": "https://www.unitree.com/g1",
      "first_party_domains": [
        "unitree.com",
        "github.com/unitreerobotics"
      ],
      "description": "Unitree's humanoid robot, sold in a basic version and an EDU version for secondary development. Unitree names UnifoLM-VLA-0, a vision-language-action model built with G1 data, and publishes code for training a policy and deploying it to the robot.",
      "variants": "G1 and G1 EDU on the product page, which lists secondary development for the EDU version only; Unitree's shop also offers a G1 Pro option, which it does not describe.",
      "form_factor": "humanoid",
      "availability": "orderable",
      "availability_note": "Unitree's shop sells the G1 and says it is backordered and will ship as soon as it is back in stock. The shop says that version does not support secondary development; the EDU version is bought by contacting Unitree's sales team.",
      "ai_basis": [
        "vendor_named_model",
        "open_model_interface"
      ],
      "named_models": [
        {
          "name": "UnifoLM-VLA-0",
          "kind": "vision_language_action",
          "role_note": "Unitree describes UnifoLM-VLA-0 as a vision-language-action large model in the UnifoLM series, designed for general-purpose humanoid robot manipulation; the twelve datasets its repository lists for its experiments were all recorded on the Unitree G1.",
          "evidence_label": "UnifoLM-VLA repository"
        }
      ],
      "research_confidence": "medium",
      "hardware": {
        "compute": "An 8-core high-performance CPU. For the EDU version the product page lists a high computing power module, such as Orin, as an accessory.",
        "sensors": "A depth camera and 3D LiDAR, a four-microphone array, and dual joint encoders. The EDU version's optional Dex3-1 hand can carry tactile sensor arrays.",
        "actuation": "Low-inertia, high-speed internal-rotor permanent magnet synchronous motors on industrial-grade crossed roller bearings: 23 degrees of freedom on the basic G1 and 23 to 43 on the EDU version, which offers the force-controlled three-fingered Dex3-1 hand as an option.",
        "power": "A quick-release 13-string lithium smart battery (9000mAh) with about 2 hours of battery life, and a 54V 5A charger."
      },
      "developer_access": "The product page lists secondary development for the G1 EDU only. Unitree's unitree_rl_gym repository documents training a policy in simulation and deploying it to a physical G1 for motion control, and its unitree_ros2 repository documents controlling the robot directly with ROS 2 messages, without wrapping the SDK interface.",
      "terms": [
        "sdk_license",
        "software_terms"
      ],
      "terms_note": "Unitree's SDK, unitree_sdk2, is released under the BSD 3-Clause License. Unitree's terms page has Terms, After-sales Terms, Privacy Policy, Disclaimer, and End User License Agreement tabs; the after-sales tab is the hardware warranty policy, and the licence agreement is offered as a downloadable document rather than as page text. The product page lists an 8-month warranty for the G1 and 18 months for the EDU version.",
      "terms_evidence": [
        {
          "terms_kind": "sdk_license",
          "scope": "unitree_sdk2 licence file",
          "kind": "web_terms",
          "url": "https://github.com/unitreerobotics/unitree_sdk2/blob/main/LICENSE",
          "verified_at": "2026-09-24"
        },
        {
          "terms_kind": "software_terms",
          "scope": "End User License Agreement tab",
          "kind": "web_terms",
          "url": "https://www.unitree.com/terms",
          "verified_at": "2026-09-24"
        }
      ],
      "not_verified": "UnifoLM-VLA-0 and the documented policy interfaces are Unitree's own claims; the Atlas has not verified them. Every source is a Unitree web page or repository file that Unitree can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Product page",
          "url": "https://www.unitree.com/g1",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "named_model",
          "label": "UnifoLM-VLA repository",
          "url": "https://github.com/unitreerobotics/unifolm-vla",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "unitree_rl_gym README",
          "url": "https://github.com/unitreerobotics/unitree_rl_gym/blob/main/README.md",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "unitree_ros2 README",
          "url": "https://github.com/unitreerobotics/unitree_ros2/blob/master/README.md",
          "verified_at": "2026-09-24"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Unitree shop page",
          "url": "https://shop.unitree.com/products/unitree-g1",
          "verified_at": "2026-09-24"
        }
      ],
      "verified_at": "2026-09-24"
    },
    {
      "id": "unitree-go2",
      "name": "Unitree Go2",
      "manufacturer": "Unitree Robotics",
      "url": "https://www.unitree.com/go2",
      "first_party_domains": [
        "unitree.com",
        "github.com/unitreerobotics"
      ],
      "description": "Unitree's quadruped robot dog, sold in AIR, PRO, X and EDU configurations. Unitree names no learned model for it; its robotics repositories document training a reinforcement-learning policy in simulation and deploying it to a physical Go2 for motion control, and controlling it directly with ROS 2 messages.",
      "variants": "Go2 AIR, PRO, X and EDU on the product page. Full secondary development is an EDU-only feature, with partial support on the X and none on the AIR or PRO.",
      "form_factor": "quadruped",
      "availability": "orderable",
      "availability_note": "Unitree's shop sells the Go2 with an add-to-cart button and says orders ship within one month. The EDU version is bought by contacting Unitree's sales team.",
      "ai_basis": [
        "open_model_interface"
      ],
      "named_models": [],
      "research_confidence": "high",
      "hardware": {
        "compute": "An 8-core high-performance CPU, which the product page says supports advanced, AI, and 3D-mapping modes. A high-computing-power module such as Orin is listed as an accessory.",
        "sensors": "Unitree's self-developed 4D LiDAR L2 with 360-by-96-degree hemispherical coverage and a 0.05 m minimum detection distance, an HD wide-angle camera, and a wireless vector positioning module on the PRO and above. The EDU version adds a foot-end force sensor.",
        "actuation": "Twelve joint motors with about 45 N·m peak joint torque. The product page lists payloads of about 7 to 8 kg, up to 10 to 12 kg maximum by configuration, and speeds up to 2.5 to 3.7 m/s, about 5 m/s maximum in lab tests.",
        "power": "An 8000 mAh smart battery with a 15000 mAh long-endurance option. The product page lists about 1 to 2 hours of battery life, about 2 to 4 on the EDU version, with a fast charger for the EDU."
      },
      "developer_access": "Unitree's unitree_rl_gym repository documents training a reinforcement-learning policy in simulation and deploying it to a physical Go2 for motion control, and its unitree_ros2 repository documents controlling the Go2 directly with ROS 2 messages, without wrapping the SDK interface. The product page gates full secondary development to the EDU version.",
      "terms": [
        "sdk_license",
        "software_terms"
      ],
      "terms_note": "Unitree's SDK, unitree_sdk2, is released under the BSD 3-Clause License. Unitree's terms page has Terms, After-sales Terms, Privacy Policy, Disclaimer, and End User License Agreement tabs; the after-sales tab is the hardware warranty policy. The product page lists a 6-month warranty for the AIR and 12 months for the other configurations.",
      "terms_evidence": [
        {
          "terms_kind": "sdk_license",
          "scope": "unitree_sdk2 licence file",
          "kind": "web_terms",
          "url": "https://github.com/unitreerobotics/unitree_sdk2/blob/main/LICENSE",
          "verified_at": "2026-09-30"
        },
        {
          "terms_kind": "software_terms",
          "scope": "End User License Agreement tab",
          "kind": "web_terms",
          "url": "https://www.unitree.com/terms",
          "verified_at": "2026-09-30"
        }
      ],
      "not_verified": "The documented policy interfaces are Unitree's own claims; the Atlas has not verified them. Every source is a Unitree web page or repository file that Unitree can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Product page",
          "url": "https://www.unitree.com/go2",
          "verified_at": "2026-09-30"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "unitree_rl_gym README",
          "url": "https://github.com/unitreerobotics/unitree_rl_gym/blob/main/README.md",
          "verified_at": "2026-09-30"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "unitree_ros2 README",
          "url": "https://github.com/unitreerobotics/unitree_ros2/blob/master/README.md",
          "verified_at": "2026-09-30"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Unitree shop page",
          "url": "https://shop.unitree.com/products/unitree-go2",
          "verified_at": "2026-09-30"
        }
      ],
      "verified_at": "2026-09-30"
    },
    {
      "id": "unitree-h1",
      "name": "Unitree H1",
      "manufacturer": "Unitree Robotics",
      "url": "https://www.unitree.com/h1",
      "first_party_domains": [
        "unitree.com",
        "github.com/unitreerobotics"
      ],
      "description": "Unitree's full-size universal humanoid robot, sold as the H1 and H1-2. Unitree names no learned model for it; its robotics repositories document training a reinforcement-learning policy in simulation and deploying it to a physical H1 for motion control, and controlling it directly with ROS 2 messages.",
      "variants": "H1 and H1-2 on the product page, which lists user-development computing for both.",
      "form_factor": "humanoid",
      "availability": "orderable",
      "availability_note": "Unitree's shop lists the H1 with an add-to-cart button. Buyers who want product information are told to contact Unitree directly.",
      "ai_basis": [
        "open_model_interface"
      ],
      "named_models": [],
      "research_confidence": "high",
      "hardware": {
        "compute": "A standard configuration of an Intel Core i5 for platform functions and an Intel Core i7 for user development, with optional modules such as Orin NX.",
        "sensors": "3D LiDAR plus a depth camera, which Unitree says gives 360-degree depth perception.",
        "actuation": "Low-inertia high-speed internal-rotor permanent magnet synchronous motors on industrial-grade crossed roller bearings. The H1 stands about 180 cm, weighs about 47 kg, and moves at 3.3 m/s with five degrees of freedom per leg and four expandable degrees per arm. The H1-2 stands about 178 cm, weighs about 70 kg, and has 27 degrees of freedom in total, with shoulder and elbow joints of about 120 N·m, wrists of about 30 N·m, and a rated arm load of about 7 kg.",
        "power": "A quickly replaceable 15 Ah (0.864 kWh) battery at up to 67.2 V."
      },
      "developer_access": "Unitree's unitree_rl_gym repository documents training a reinforcement-learning policy in simulation and deploying it to a physical H1 or H1-2 for motion control, and its unitree_ros2 repository documents controlling the H1 directly with ROS 2 messages, without wrapping the SDK interface.",
      "terms": [
        "sdk_license",
        "software_terms"
      ],
      "terms_note": "Unitree's SDK, unitree_sdk2, is released under the BSD 3-Clause License. Unitree's terms page has Terms, After-sales Terms, Privacy Policy, Disclaimer, and End User License Agreement tabs; the after-sales tab is the hardware warranty policy, and it excludes damage caused by the user's own developer-mode programs from free warranty. The H1 product page states no warranty period.",
      "terms_evidence": [
        {
          "terms_kind": "sdk_license",
          "scope": "unitree_sdk2 licence file",
          "kind": "web_terms",
          "url": "https://github.com/unitreerobotics/unitree_sdk2/blob/main/LICENSE",
          "verified_at": "2026-09-30"
        },
        {
          "terms_kind": "software_terms",
          "scope": "End User License Agreement tab",
          "kind": "web_terms",
          "url": "https://www.unitree.com/terms",
          "verified_at": "2026-09-30"
        }
      ],
      "not_verified": "The documented policy interfaces are Unitree's own claims; the Atlas has not verified them. Every source is a Unitree web page or repository file that Unitree can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Product page",
          "url": "https://www.unitree.com/h1",
          "verified_at": "2026-09-30"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "unitree_rl_gym README",
          "url": "https://github.com/unitreerobotics/unitree_rl_gym/blob/main/README.md",
          "verified_at": "2026-09-30"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "unitree_ros2 README",
          "url": "https://github.com/unitreerobotics/unitree_ros2/blob/master/README.md",
          "verified_at": "2026-09-30"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Unitree shop page",
          "url": "https://shop.unitree.com/products/unitree-h1",
          "verified_at": "2026-09-30"
        }
      ],
      "verified_at": "2026-09-30"
    },
    {
      "id": "unitree-h2",
      "name": "Unitree H2",
      "manufacturer": "Unitree Robotics",
      "url": "https://www.unitree.com/H2",
      "first_party_domains": [
        "unitree.com",
        "github.com/unitreerobotics"
      ],
      "description": "Unitree's full-size humanoid robot, sold as the H2 and the H2 EDU. Unitree names no learned model for it; its product page says a 2070 TOPS chip supports diverse intelligent models, and its reinforcement-learning repository lists the H2 among the robots it supports and registers velocity-tracking tasks for it.",
      "variants": "H2 and H2 EDU on the product page, which lists secondary development for the EDU version only. Unitree publishes an H2 Plus on a product page of its own, which this record does not cover.",
      "form_factor": "humanoid",
      "availability": "enterprise_sales",
      "availability_note": "Unitree's product page states a price for the H2 and lists the H2 EDU as contact sales. The shop page carries the same price but shows no add-to-cart control, marks the base variant out of stock, and offers a Contact Sales button as its only route to a price.",
      "ai_basis": [
        "open_model_interface"
      ],
      "named_models": [],
      "research_confidence": "high",
      "hardware": {
        "compute": "Two PC slots, an Intel Core i5 for platform capabilities and an Intel Core i7 for custom development. The product page's description says a 2070 TOPS chip powers the robot, and a high-power computing module is an accessory, with multiple brands and models available such as Thor.",
        "sensors": "A humanoid binocular camera with a wide field of view, and a voice-interaction array of microphone and high-power speaker. WiFi 6 and Bluetooth 5.2 are listed as present.",
        "actuation": "Low-inertia high-speed internal-rotor permanent magnet synchronous motors on industrial-grade crossed roller bearings, with 31 degrees of freedom in total: six per leg, seven per arm, three at the waist, and two at the head. The page states a maximum arm-joint torque of 120 N·m and leg-joint torque of 360 N·m, an arm payload peaking at about 15 kg and rated at about 7 kg, a standing size of 1820 x 456 x 218 mm, a weight of about 70 kg with battery, a calf-plus-thigh length of 1045 mm and a forearm-plus-upper-arm length of 690 mm, and a body of aircraft-grade aluminium, titanium alloy, and high-strength engineering plastics. A bionic head with facial features and dexterous hands in several models are listed.",
        "power": "A premium lithium battery with low internal resistance, 15 Ah (0.972 kWh) at up to 75.6 V, with about three hours of battery life. A quick-release smart battery and a charger are accessories, and cooling is local air cooling."
      },
      "developer_access": "Unitree's product page lists secondary development for the H2 EDU and points to a secondary development manual. Its unitree_rl_mjlab repository names the H2 among the robots it supports, registers Unitree-H2-Flat and Unitree-H2-Rough velocity-tracking tasks, and documents a Train, Play, Sim2Real workflow that deploys trained policies to physical Unitree robots, worked through on the G1. Its unitree_sdk2 repository ships an h2 example directory with low-level joint commands published on rt/lowcmd for the robot's 31 motors and a high-level locomotion client, and its unitree_ros2 repository ships an h2 example that drives H2 ankle commands with ROS 2 messages.",
      "terms": [
        "sdk_license",
        "software_terms"
      ],
      "terms_note": "Unitree's SDK, unitree_sdk2, is released under the BSD 3-Clause License. Unitree's terms page has Terms, After-sales Terms, Privacy Policy, Disclaimer, and End User License Agreement tabs; the after-sales tab is the hardware warranty policy, and the licence agreement is offered as a downloadable document rather than as page text. The product page lists an 8-month warranty for the H2 and 12 months for the H2 EDU.",
      "terms_evidence": [
        {
          "terms_kind": "sdk_license",
          "scope": "unitree_sdk2 licence file",
          "kind": "web_terms",
          "url": "https://github.com/unitreerobotics/unitree_sdk2/blob/main/LICENSE",
          "verified_at": "2026-10-01"
        },
        {
          "terms_kind": "software_terms",
          "scope": "End User License Agreement tab",
          "kind": "web_terms",
          "url": "https://www.unitree.com/terms",
          "verified_at": "2026-10-01"
        }
      ],
      "not_verified": "The documented policy interfaces are Unitree's own claims; the Atlas has not verified them. Every source is a Unitree web page or repository file that Unitree can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Product page",
          "url": "https://www.unitree.com/H2",
          "verified_at": "2026-10-01"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "unitree_rl_mjlab README",
          "url": "https://github.com/unitreerobotics/unitree_rl_mjlab/blob/main/README.md",
          "verified_at": "2026-10-01"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "unitree_sdk2 h2 examples",
          "url": "https://github.com/unitreerobotics/unitree_sdk2/tree/main/example/h2",
          "verified_at": "2026-10-01"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "unitree_rl_mjlab H2 task registration",
          "url": "https://github.com/unitreerobotics/unitree_rl_mjlab/blob/main/src/tasks/velocity/config/h2/__init__.py",
          "verified_at": "2026-10-01"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Unitree shop page",
          "url": "https://shop.unitree.com/products/unitree-h2",
          "verified_at": "2026-10-01"
        }
      ],
      "verified_at": "2026-10-01"
    },
    {
      "id": "unitree-r1",
      "name": "Unitree R1",
      "manufacturer": "Unitree Robotics",
      "url": "https://www.unitree.com/R1",
      "first_party_domains": [
        "unitree.com",
        "github.com/unitreerobotics"
      ],
      "description": "Unitree's compact humanoid robot, sold as the R1 AIR, R1, and R1 EDU, which Unitree's own site lists under its Humanoid Robot category. Unitree names no learned model for it: the product page says it integrates a large multimodal model for voice and image processing without naming one. Its product page states that the R1's joint and sensor control interfaces are fully open, and its reinforcement-learning repository registers a velocity-tracking task for the R1 and ships a deployment program for it.",
      "variants": "R1 AIR, R1, and R1 EDU on the product page, which lists secondary development for the R1 EDU only. The shop sells the R1 AIR and R1 in white and red, and takes the R1 EDU by contacting sales.",
      "form_factor": "humanoid",
      "availability": "orderable",
      "availability_note": "Unitree's product page lists the R1 AIR, R1 and R1 EDU, with the EDU marked contact sales. The shop page shows an add-to-cart control and says the R1 Air (White) is backordered and will ship as soon as it is back in stock.",
      "ai_basis": [
        "open_model_interface"
      ],
      "named_models": [],
      "research_confidence": "high",
      "hardware": {
        "compute": "An 8-core high-performance processor. A high-power computing module is an accessory of the R1 EDU, with multiple brands and models available such as Orin (40-100 TOPS).",
        "sensors": "A four-microphone array and a speaker, with a monocular camera on the R1 AIR and a binocular camera on the R1 and R1 EDU. WiFi 6 and Bluetooth 5.2 are listed as present, and the page describes a two-degree-of-freedom head for environmental perception.",
        "actuation": "Low-inertia high-speed internal-rotor permanent magnet synchronous motors on crossed roller bearings and double-hook ball bearings. The page lists 20 degrees of freedom on the R1 AIR, 26 on the R1, and 26 to 40 on the R1 EDU, made up of six per leg, four or five per arm, two at the waist, and two at the head. It states an arm load of about 2 kg, a standing size of 1230 x 357 x 190 mm, a weight of about 27 kg with battery on the AIR and about 29 kg on the others, a calf-plus-thigh length of 600 mm and a forearm-plus-upper-arm length of 420 mm, knee motion from -10 to +139 degrees, hip yaw of plus or minus 157 degrees, pitch of -168 to +146 degrees and roll of -60 to +100 degrees, and waist yaw of plus or minus 150 degrees and roll of plus or minus 30 degrees. Electrical routing is hollow plus internal routing and the joint encoders are dual plus single.",
        "power": "A lithium battery with about one hour of battery life. A quick-release smart battery and a charger are accessories, and cooling is local air cooling."
      },
      "developer_access": "Unitree's product page states that the R1's joint and sensor control interfaces are fully open and that mainstream simulation platforms are supported, and lists secondary development for the R1 EDU. Its unitree_rl_mjlab repository names the R1 among the robots it supports, offers a Unitree-R1-Flat velocity-tracking task, and carries a deploy/robots/r1 program with a velocity policy configuration, documented through the same Train, Play, Sim2Real workflow. Its unitree_sdk2 repository ships an r1 example directory with low-level joint examples, a high-level locomotion client, and an audio client.",
      "terms": [
        "sdk_license",
        "software_terms"
      ],
      "terms_note": "Unitree's SDK, unitree_sdk2, is released under the BSD 3-Clause License. Unitree's terms page has Terms, After-sales Terms, Privacy Policy, Disclaimer, and End User License Agreement tabs; the after-sales tab is the hardware warranty policy, and the licence agreement is offered as a downloadable document rather than as page text. The product page lists a 6-month warranty for the R1 AIR, 8 months for the R1, and 12 months for the R1 EDU.",
      "terms_evidence": [
        {
          "terms_kind": "sdk_license",
          "scope": "unitree_sdk2 licence file",
          "kind": "web_terms",
          "url": "https://github.com/unitreerobotics/unitree_sdk2/blob/main/LICENSE",
          "verified_at": "2026-10-01"
        },
        {
          "terms_kind": "software_terms",
          "scope": "End User License Agreement tab",
          "kind": "web_terms",
          "url": "https://www.unitree.com/terms",
          "verified_at": "2026-10-01"
        }
      ],
      "not_verified": "The documented policy interfaces are Unitree's own claims; the Atlas has not verified them. Every source is a Unitree web page or repository file that Unitree can change at any time.",
      "status": "active",
      "evidence": [
        {
          "kind": "web",
          "role": "product_page",
          "label": "Product page",
          "url": "https://www.unitree.com/R1",
          "verified_at": "2026-10-01"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "unitree_rl_mjlab README",
          "url": "https://github.com/unitreerobotics/unitree_rl_mjlab/blob/main/README.md",
          "verified_at": "2026-10-01"
        },
        {
          "kind": "web",
          "role": "model_interface",
          "label": "unitree_sdk2 r1 examples",
          "url": "https://github.com/unitreerobotics/unitree_sdk2/tree/main/example/r1",
          "verified_at": "2026-10-01"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "unitree_rl_mjlab R1 deployment program",
          "url": "https://github.com/unitreerobotics/unitree_rl_mjlab/tree/main/deploy/robots/r1",
          "verified_at": "2026-10-01"
        },
        {
          "kind": "web",
          "role": "supporting",
          "label": "Unitree shop page",
          "url": "https://shop.unitree.com/products/unitree-r1",
          "verified_at": "2026-10-01"
        }
      ],
      "verified_at": "2026-10-01"
    }
  ]
}
