A fusion strategy based on deep reinforcement learning that integrates the abilities of doctors and robots to address position-based soft tissue deformation manipulation tasks. All three proposed ...
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Robotic manipulation and grasping techniques have evolved rapidly to address intricate tasks in unstructured environments. Recent advances integrate artificial intelligence with classical control to ...
At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...