首页|New Findings from Tianjin University of Technology in the Area of Robotics Reported (Robotic Arm Trajectory Tracking Method Based On Improved Proximal Policy Optimization)
New Findings from Tianjin University of Technology in the Area of Robotics Reported (Robotic Arm Trajectory Tracking Method Based On Improved Proximal Policy Optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Robotics have been published. According to news reporting from Tianjin,People’s Republic of China, by NewsRx journalists, research stated, “To study the method of trajectorytracking for robotic arms, the traditional tracking method has low accuracy and cannot realize the complextracking tasks. Compared with traditional methods, deep reinforcement learning is an effective schemewith the advantages of robustness and solving complex problems.”
TianjinPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningReinforcement LearningRoboticsRobotsTianjin University of Technology
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