Open AI models for robots, with the license of their code and of their weights, whether commercial use is allowed, and the robots on Robotheca that can run them. Every entry links to its source.
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SparseVideoNav is a research project using sparse video generation to predict future views for beyond-the-view vision-language navigation on real robots.
A reinforcement learning framework for teaching humanoid robots to walk through cluttered indoor scenes without colliding with obstacles, built on MuJoCo simulation with Unitree G1 assets.
CityWalker is a learned navigation model that trains urban walking agents by imitation learning from thousands of hours of online city walking and driving videos.