Robotics & Machine Learning Daily News2024,Issue(Oct.24) :40-41.

Reports from Hefei University of Technology Add New Study Findings to Research in Robotics (Robot target tracking control considering obstacle avoidance based on combination of deep reinforcement learning and PID)

Robotics & Machine Learning Daily News2024,Issue(Oct.24) :40-41.

Reports from Hefei University of Technology Add New Study Findings to Research in Robotics (Robot target tracking control considering obstacle avoidance based on combination of deep reinforcement learning and PID)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on robotics have been published. According to news originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “When simultaneously addressing the challenges of dynamic target tracking and obstacle avoidance for robots, conventional control and control only based on reinforcement learning cannot deal with the complex scenarios effectively.” Funders for this research include National Natural Science Foundation of China.

Key words

Hefei University of Technology/Hefei/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Reinforcement Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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