Humanoid robots

Berkeley Humanoid

UC Berkeley's open mid-size humanoid platform, with a framework for smooth reinforcement-learning sim-to-real transfer.

294 stars See repository HybridRobotics/isaac_berkeley_humanoid

What’s included

  • Reinforcement learning
  • Isaac Lab environments
  • Sim-to-real transfer

Best for

Research into learned locomotion that carries over from simulation to real hardware.

How we work with humanoid robots

Humanoids are the most general-purpose robots, and the hardest to get right. We work with open humanoid designs and learning frameworks to prototype walking, balance and dexterous manipulation, training in simulation first and then transferring to hardware.

  • Locomotion research with reinforcement learning
  • Imitation learning for manipulation tasks
  • Teleoperated data-collection rigs
  • Custom humanoid prototypes from open CAD

Related

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Humanoid robots

Asimov v1

menloresearch/asimov-1

A fully open-source bipedal humanoid, published with mechanical CAD, PCB electronics, simulation models and on-board control software.

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Humanoid robots

LeRobot

huggingface/lerobot

Hugging Face's open embodied-AI ecosystem, centred on imitation learning and real-time teleoperation.

Imitation learningReal-time teleoperationShared datasetsPretrained policies
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