首页|Findings from Huazhong University of Science and Technology Provide New Insights into Robotics (Dynamic Balancing of U-shaped Robotic Disassembly Lines Using an Effective Deep Reinforcement Learning Approach)
Findings from Huazhong University of Science and Technology Provide New Insights into Robotics (Dynamic Balancing of U-shaped Robotic Disassembly Lines Using an Effective Deep Reinforcement Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Robotics is now availab le. According to news reporting from Wuhan,People's Republic of China,by NewsR x journalists,research stated,"Disassembly line balancing (DLB) is used for ef ficient task planning of large-scale end-of-life products,which is a key issue to realize resource recycling and reuse. Robot disassembly and U-shaped station layout can effectively improve disassembly efficiency." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from the Huazhong Uni versity of Science and Technology,"To accurately characterize the problem,a mi xed-integer linear programming model of U-shaped robotic DLB is proposed. The ai m is to minimize the cycle time to shorten the offline time of the product. Sinc e there are many dynamic disturbances in the actual disassembly line,and tradit ional optimization methods are suitable for dealing with static problems,this a rticle develops a deep reinforcement learning approach based on problem characte ristics,namely deep Q network (DQN),to achieve a dynamic balancing of disassem bly lines. Eight state features and ten heuristic action rules are designed in t he proposed DQN to describe the disassembly environment completely. The effectiv eness and superiority of the proposed DQN are verified by numerical experiments. "
WuhanPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningReinforcement LearningRoboticsRobo tsHuazhong University of Science and Technology
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