Robotics & Machine Learning Daily News2024,Issue(Jan.4) :18-19.

New Findings from Tianjin University of Technology in the Area of Robotics Reported (Robotic Arm Trajectory Tracking Method Based On Improved Proximal Policy Optimization)

Robotics & Machine Learning Daily News2024,Issue(Jan.4) :18-19.

New Findings from Tianjin University of Technology in the Area of Robotics Reported (Robotic Arm Trajectory Tracking Method Based On Improved Proximal Policy Optimization)

扫码查看

Abstract

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.”

Key words

Tianjin/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Reinforcement Learning/Robotics/Robots/Tianjin University of Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文