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Robotics

Human-Assisted Reinforcement Learning Enhances Robotic Disassembly Efficiency

Researchers at Mondragon University have successfully integrated human hints into reinforcement learning frameworks, significantly improving the adaptability and performance of disassembly tasks. The study reveals that manipulation generalization capabilities are enhanced when policies receive human hints regarding where to focus their actions. Employing force overlay types, such as Lissajous curves