Robotics & Machine Learning Daily News2024,Issue(Oct.24) :98-99.

Study Results from Shanghai Jiao Tong University Provide New Insights into Robot ics (An End-to-end Path Planner Combining Potential Field Method With Deep Reinf orcement Learning)

Robotics & Machine Learning Daily News2024,Issue(Oct.24) :98-99.

Study Results from Shanghai Jiao Tong University Provide New Insights into Robot ics (An End-to-end Path Planner Combining Potential Field Method With Deep Reinf orcement Learning)

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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 reporting originating in Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “This article presents an end-to-end path planning and motion control method based on deep reinforcement learning (DRL), aimed at enhancing the autonomous navigation capabilities of wheeled robots in mapless environments. By physically modeling the robot and opt imizing LiDAR inputs, our method precisely processes the relative distances between obstacles and the robot, thereby improving obstacle avoidance precision and adaptability.”

Key words

Shanghai/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Robo tics/Shanghai Jiao Tong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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