6 citations · 6 across the 4 of their papers we have counts for
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cs.RO2026
Visual-Tactile Peg-in-Hole Assembly Learning from Peg-out-of-Hole Disassembly
Yongqiang Zhao, Xuyang Zhang, Zhuo Chen +3
Peg-in-hole (PiH) assembly is a fundamental yet challenging robotic manipulation task. While reinforcement learning (RL) has shown promise in tackling such tasks, it requires exten…
cs.RO2026
UniForce: A Unified Latent Force Model for Robot Manipulation with Diverse Tactile Sensors
Zhuo Chen, Fei Ni, Kaiyao Luo +7
Force sensing is essential for dexterous robot manipulation, but scaling force-aware policy learning is hindered by the heterogeneity of tactile sensors. Differences in sensing pri…