Researchers have solved the complex "peg-in-hole" assembly challenge with a deep reinforcement learning system.
Abstract: To endow robotic arms with enhanced autonomous obstacle avoidance and path planning capabilities in complex dynamic environments, deep reinforcement learning (DRL) methods have been widely ...
Pitt lab secures $41.5M to develop RAMMP, an advanced robotic wheelchair integrating AI and sensors. CMU to contribute arm ...
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