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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A toolkit for distilling the openpilot driving model into a smaller driving model, trained on logged drive segments and then refined in a learned world model used as a simulator.
UniAD is a unified, planning-oriented autonomous driving framework that chains perception, prediction and planning tasks into one end-to-end model.
NAVSIM is a pseudo-simulation framework for evaluating autonomous driving planners, with baseline agents such as TransFuser and LTF. It targets fast, large-scale benchmarking of driving models.