Stefanobraghetto/so101-chess-grasp-approach
SO-101 chess research captures Versioned capture artifacts for the SO-101 chess project. The current encoder-grasp schema contains six-joint actions, six-joint encoder observations, synchronized 1280x720 wrist and nearest-overhead video, timestamps, frame/episode indices, and task labels. Capture bundles include accepted and negative grasp approaches, legacy placement returns, and the newer positive/negative centered-placement collections. Centered placement journals add… See the full description on the dataset page: https://huggingface.co/datasets/Stefanobraghetto/so101-chess-grasp-approach.
SO-101 chess research captures
Versioned capture artifacts for the SO-101 chess project.
The current encoder-grasp schema contains six-joint actions, six-joint encoder observations, synchronized 1280x720 wrist and nearest-overhead video, timestamps, frame/episode indices, and task labels. Capture bundles include accepted and negative grasp approaches, legacy placement returns, and the newer positive/negative centered-placement collections. Centered placement journals add canonical and grasp TCP coordinates, requested and achieved placement coordinates, command/encoder targets, solver strategy, tolerance, and XYZ error fields.