3 papers
cs.RO2026
AutoDex: An Automated Real-World System for Dexterous Grasping Data Collection
Mingi Choi, Gunhee Kim, Jisoo Kim +4
Learning robust dexterous grasping requires real-world data that records the physical outcomes of grasp attempts. Such data is hard to obtain at scale: teleoperation yields valid p…
cs.RO2026
ZeroDex: Zero-Shot Long-Horizon Dexterous Manipulation via Multi-View 3D-Grounded VLM Reasoning
Jisoo Kim, Sangwon Baik, Taeksoo Kim +4
We present ZeroDex, a zero-shot framework for long-horizon dexterous manipulation that grounds language instructions into executable 3D task plans from calibrated multi-view RGB im…
cs.RO2025
Learning to Transfer Human Hand Skills for Robot Manipulations
Sungjae Park, Seungho Lee, Mingi Choi +4
We present a method for teaching dexterous manipulation tasks to robots from human hand motion demonstrations. Unlike existing approaches that solely rely on kinematics information…