2 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
HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
Jongbin Lim, Taeyun Ha, Mingi Choi +6
We present HRDexDB, a real-world 4D dexterous grasping dataset capturing 3D hand-object interaction trajectories over time across five embodiments. The dataset comprises 3.2K trial…