176 citations · 356 across the 14 of their papers we have counts for
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cs.RO2023★ 1 cited
Tactile-based Active Inference for Force-Controlled Peg-in-Hole Insertions
Tatsuya Kamijo, Ixchel G. Ramirez-Alpizar, Enrique Coronado +1
Reinforcement Learning (RL) has shown great promise for efficiently learning force control policies in peg-in-hole tasks. However, robots often face difficulties due to visual occl…
cs.RO2023
Force Map: Learning to Predict Contact Force Distribution from Vision
Ryo Hanai, Yukiyasu Domae, Ixchel G. Ramirez-Alpizar +2
When humans see a scene, they can roughly imagine the forces applied to objects based on their experience and use them to handle the objects properly. This paper considers transfer…