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2026-10-20 17:40 UTC Edge Models & Algorithms MAJOR DISPATCH By Dr. Kenji Sato · Embodied AI & Robotics Lead · 5 min read · Source: Unitree Robotics

Unitree Open-Sources 500-Hour Whole-Body Household Manipulation Dataset for G1 Humanoid

Executive Wire Summary

Covers 28 everyday household tasks—including opening doors, wiping tables, pouring liquids, and bimanual tote carrying—with synchronized wrist tactile and joint torque telemetry.

Unitree Open-Sources 500-Hour Whole-Body Household Manipulation Dataset for G1 Humanoid
#Unitree#Humanoid Robot#Open Dataset

⚡ Key Engineering & Supply-Chain Takeaways

  • Unitree Robotics open-sourced G1-Home-500H, a 500-hour whole-body loco-manipulation dataset recorded on 43-DoF Unitree G1 EDU humanoids.
  • Includes synchronized 50Hz joint positions/torques, 94-taxel Dex3-1 tactile arrays, Livox Mid-360 LiDAR point clouds, and stereo wrist RGB-D streams.
  • Formatted natively in Hugging Face LeRobot Parquet v2 and RLDS schemas for immediate VLA pre-training.

🔬 Technical & Supply-Chain Specification Matrix

Dataset Volume500 Hours / 72,000 Trajectories Across 28 Household & Logistics Tasks
Robot PlatformUnitree G1 EDU (43-DoF) + Dual Dex3-1 Tactile 3-Finger Hands
Sensor ModalitiesStereo RGB-D + Dual Wrist Cameras + 94 Force Taxels/Hand + Joint Torque
License & FormatCC-BY-4.0 · Native LeRobot v0.4 Parquet & Open-X RLDS Compatible

Bridging the Whole-Body Loco-Manipulation Data Gap

While tabletop robotic arm datasets have multiplied over the past two years, open-source datasets that couple bipedal lower-body balance and squatting locomotion with bimanual upper-body dexterous manipulation have remained scarce.

Unitree Robotics has released G1-Home-500H, a 500-hour multi-sensor dataset collected across 12 physical apartment and warehouse mockups in Hangzhou using fleets of 43-DoF Unitree G1 EDU humanoids equipped with Dex3-1 tactile hands.

28 Contact-Rich Tasks With Synchronized Tactile & Torque Telemetry

What makes G1-Home-500H particularly valuable for Vision-Language-Action (VLA) foundation model training is its high-frequency force-feedback recording:

  • Whole-Body Coordination: Tasks include squatting to lift 12kg storage totes from the floor, opening spring-loaded refrigerator doors while holding a tray, wiping kitchen counters, and pouring liquids between containers.
  • Tactile + Proprioceptive Alignment: Every trajectory logs 500Hz motor phase current torque estimates alongside 100Hz 3-axis normal/shear force readings from all 94 tactile taxels per hand, enabling policies to learn slip prevention and compliant force control.

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