مقاله مروری(41140)*
چهار سال پیش منتشر شده
تعداد بازدید: 230
کد پروژه: 338620
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سلام و عرض ادب
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Title: Perspective of self-learning robotics for disassembly automation
Abstract: Increasing attention has been paid to remanufacturing which plays an important role in environmental protection and circular economy. Disassembly is a key operation in remanufacturing, repair, and recycling. Several robotic disassembly developments have shown that the use of robots in disassembly is feasible; however, the programming of robots is usually complex, schedule-based, and time-consuming. Recent research about self-learning robotics and human-robot collaboration have created an opportunity for schedule-free robotics, in which various machine learning and deep learning techniques have been developed. This paper attempts to review the development of self-learning robots with applications in robotic disassembly and remanufacturing. Key algorithms, designs, control methods, and future research directions have been highlighted and analysed. This review paper serves as a useful resource for researchers in the areas of robotics, smart remanufacturing, and disassembly automation.
Keywords—Self-Learning, Disassembly, Robotics, Learning Methods, Reinforcement Learning (RL)
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