33 citations · 50 across the 5 of their papers we have counts for
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cs.RO2024
Learning Time-Optimal and Speed-Adjustable Tactile In-Hand Manipulation
Johannes Pitz, Lennart Röstel, Leon Sievers +1
In-hand manipulation with multi-fingered hands is a challenging problem that recently became feasible with the advent of deep reinforcement learning methods. While most contributio…
cs.RO2024★ 1 cited
Learning a Shape-Conditioned Agent for Purely Tactile In-Hand Manipulation of Various Objects
Johannes Pitz, Lennart Röstel, Leon Sievers +2
Reorienting diverse objects with a multi-fingered hand is a challenging task. Current methods in robotic in-hand manipulation are either object-specific or require permanent superv…