brandonyang/dual-lidar-combined-filtered-joint-positions
Combined filtered dual-LiDAR UMI demonstrations Observation-only LeRobot v3 derivative of brandonyang/dual-lidar-umi, brandonyang/dual-lidar-umi-relative. It contains 157 demonstrations (156492 frames) accepted by the continuous bimanual YAM replayability pipeline. The 14-D observation.state contains left YAM joints 0–5, normalized left gripper, right YAM joints 0–5, and normalized right gripper. The two original UMI videos, timestamps, frame cadence, and task are preserved;… See the full description on the dataset page: https://huggingface.co/datasets/brandonyang/dual-lidar-combined-filtered-joint-positions.
Combined filtered dual-LiDAR UMI demonstrations
Observation-only LeRobot v3 derivative of brandonyang/dual-lidar-umi, brandonyang/dual-lidar-umi-relative. It contains 157 demonstrations (156492 frames) accepted by the continuous bimanual YAM replayability pipeline.
The 14-D observation.state contains left YAM joints 0–5, normalized left gripper, right YAM joints 0–5, and normalized right gripper. The two original UMI videos, timestamps, frame cadence, and task are preserved; action is intentionally absent.
Both UMI trajectories are expressed relative to their own first pose, so both begin at zero. See meta/filtering.json for pinned source revisions, gates, provenance, and the output-to-source episode map. Collision checks are sampled-capsule proxies; validate the exact scene before hardware playback.