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cs.RO2026
Koala Gripper: Co-designing Robotic Grippers and Data-Capture Devices for Scaling Dexterous Manipulation Learning
Amar Hajj-Ahmad, Zubin Kremer Guha, Tim Fofonoff +8
As the demand for larger manipulation datasets grows, handheld robotic gripper data collection and the associated gripper designs become more vital. Current data collection device…
cs.RO2026
Bridging Handheld and Teleoperated Supervision for Contact-Rich Manipulation via State-Gated Experts
Vidullan Surendran, Neehar Peri, David Watkins
Handheld data collection systems, such as the Universal Manipulation Interface (UMI), enable scalable data collection across diverse environments but only capture observed actions…