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Mohammadreza Sharif

1 accepted papers

2021

End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning

ICRA 2021poster

State-of-the-art human-in-the-loop robot grasping is hugely suffered by Electromyography (EMG) inference robustness issues. As a workaround, researchers have been looking into integrating EMG with other signals, often in an ad hoc manner. In this paper, we are presenting a method for end-to-end trai…

Cited by 4SourcecodeScholar