NVlabs/ProtoMotions

Health v2 · maintenance only

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2338 stars · 465 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ProtoMotions is a GPU-accelerated simulation and reinforcement learning framework for training physically simulated digital humans and humanoid robots. It provides a modular, multi-backend prototyping platform (Newton, IsaacGym, IsaacLab, Genesis, MuJoCo) for physics-based character animation and humanoid robotics research.

Use cases

• train physically simulated humanoid characters with reinforcement learning
• learn motion skills from the AMASS motion capture dataset
• simulate and control humanoid robots like Unitree G1 and H1
• prototype physics-based character animation research
• train motion imitation policies like MaskedMimic, AMP, and ASE
• retarget motion capture data to robot morphologies
• generate procedural terrains for humanoid training

When to choose

• you need GPU-accelerated large-scale humanoid RL training
• you want to swap between multiple physics simulators with one codebase
• you work across animation and humanoid robotics communities
• you need state-of-the-art motion imitation algorithms out of the box

When to avoid

• you need a lightweight CPU-only setup for simple physics tasks
• you want a production animation tool rather than a research framework
• your project does not involve humanoid characters or RL

Facets

framework · maturity active

machine-learning reinforcement-learning simulation machine-learning robotics simulation graphics deep-learning python cross-platform humanoid character-animation digital-humans motion-imitation isaac-gym isaaclab newton mujoco genesis motion-retargeting robotics-research gpu linux

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