👉Webpage | Document | Paper | Leaderboard
Based on the EmbodiChain, we offer both docker and local installation methods. For detailed installation instructions, please refer to Installation Document.
We provide 1,000 pre-collected trajectories per task as part of the open-source release RoboSynChallenge Dataset. The datasets hosted on HuggingFace are available at here.
However, we still strongly recommend users to perform data collection themselves. For detailed data collection instructions, please refer to Data Collection Document.
Currently, RoboSynChallenge integrates training and evaluation for PI0, PI0.5, and Motus. Detailed procedures can be found in the documentation for the corresponding strategies: 👉Webpage. In addition, you can easily extend your own policys for training and evaluation by following the documentation 👉Webpage.
100-episode simulation evaluations for the released ACT and Diffusion Policy checkpoints are published in evaluation_results. The machine-readable result file pins success rate, action steps, millisecond inference time, Hugging Face checkpoint revisions, and the random protocol configuration.
The full leaderboard and setting can be found in: https://edem-ai.github.io/robosynchallenge.github.io/#/leaderboard.