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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UniVLA is a vision-language-action model that plans in an embodiment-agnostic action space, learning task-centric latent actions from cross-embodiment videos. It targets generalist robot policies.
OpenVLA is an open-source vision-language-action model for generalist robotic manipulation, built on the Prismatic VLM codebase, with pretrained checkpoints and training and fine-tuning scripts.
MiniVLA is a smaller variant of the OpenVLA vision-language-action model, built on a Qwen2.5 0.5B backbone, for training robot manipulation policies from images and language instructions.
CrossFormer is a transformer-based robot policy trained on about 900K trajectories across 20 robot embodiments, for controlling many different robot types from one model.
Octo is a set of open generalist robot policies: transformer-based diffusion models trained on about 800k robot trajectories, for controlling various robot arms from images and language.
AI models 25–29 of 29