Reinforcement learning

Policy Learning for Visually Conditioned Tactile Manipulation
Recent work on robot learning with visual observations has shown great success in solving many manipulation tasks. While visual …
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End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
State-of-the-art human-in-the-loop robot grasping is hugely suffered by Electromyography (EMG) inference robustness issues. As a …
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