33 citations · 50 across the 5 of their papers we have counts for
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cs.RO2023★ 13 cited
Estimator-Coupled Reinforcement Learning for Robust Purely Tactile In-Hand Manipulation
Lennart Röstel, Johannes Pitz, Leon Sievers +1
This paper identifies and addresses the problems with naively combining (reinforcement) learning-based controllers and state estimators for robotic in-hand manipulation. Specifical…
cs.RO2023★ 33 cited
Dextrous Tactile In-Hand Manipulation Using a Modular Reinforcement Learning Architecture
Johannes Pitz, Lennart Röstel, Leon Sievers +1
Dextrous in-hand manipulation with a multi-fingered robotic hand is a challenging task, esp. when performed with the hand oriented upside down, demanding permanent force-closure, a…