AI RESEARCH
Tele-Catch: Adaptive Teleoperation for Dexterous Dynamic 3D Object Catching
arXiv CS.CV
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ArXi:2603.28427v1 Announce Type: cross Teleoperation is a key paradigm for transferring human dexterity to robots, yet most prior work targets objects that are initially static, such as grasping or manipulation. Dynamic object catch, where objects move before contact, remains underexplored. Pure teleoperation in this task often fails due to timing, pose, and force errors, highlighting the need for shared autonomy that combines human input with autonomous policies. To this end, we present Tele-Catch, a systematic framework for dexterous hand teleoperation in dynamic object catching.