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20202026
most citedUncertainty-aware Contact-safe Model-based Reinforcement Learning

1 citations · 1 across the 4 of their papers we have counts for

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cs.RO2025

Tracing Energy Flow: Learning Tactile-based Grasping Force Control to Reduce Slippage in Dynamic Object Interaction

Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara

Regulating grasping force to reduce slippage during dynamic object interaction remains a fundamental challenge in robotic manipulation, especially when objects are manipulated by m…

cs.RO2025

Prolonging Tool Life: Learning Skillful Use of General-purpose Tools through Lifespan-guided Reinforcement Learning

Po-Yen Wu, Cheng-Yu Kuo, Yuki Kadokawa +1

In inaccessible environments with uncertain task demands, robots often rely on general-purpose tools that lack predefined usage strategies. These tools are not tailored for particu…