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leggedrobotics/terrain-grounded-imagination

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    Very new: it was created 4 days ago. Wait a little before installing it.

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    Last change 2 days ago.

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    MIT: you can use it for free, also in a commercial product. Keep the licence notice.

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What it is

Research code for training a Unitree G1 humanoid to walk over stairs, gaps and stepping stones using a terrain-conditioned world model with differentiable heightmap lookups. It includes an FPM foothold-prediction package for Isaac Lab 3 and a TGI package for world-model training…

Who it's for

Robotics and reinforcement learning researchers training legged locomotion policies in Isaac Lab

How to use it

Install

pip install -e fpm --no-deps

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Star curve

86From 0 to 86 stars between 3 Nov 2026 and 7 Nov 2026.

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