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Michael Bowman

7 accepted papers

2023

A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation

ICRA 2023poster

In-hand manipulation is challenging for a multi-finger robotic hand due to its high degrees of freedom and complex interaction with the object. To enable in-hand manipulation, existing deep reinforcement learning-based approaches mainly focus on training a single robot-structure-specific policy thro…

Cited by 8SourceScholar
2019

Intent-Uncertainty-Aware Grasp Planning for Robust Robot Assistance in Telemanipulation

ICRA 2019poster

Promoting a robot agent's autonomy level, which allows it to understand the human operator's intent and provide motion assistance to achieve it, has demonstrated great advantages to the operator's intent in teleoperation. However, the research has been limited to the target approaching process. We a…

Cited by 18SourceScholar