Robotics & Machine Learning Daily News2024,Issue(Aug.7) :96-97.

New Robotics Study Findings Have Been Reported by Investigators at South China U niversity of Technology (Reinforcement Learningdriven Dynamic Obstacle Avoidanc e for Mobile Robot Trajectory Tracking)

Robotics & Machine Learning Daily News2024,Issue(Aug.7) :96-97.

New Robotics Study Findings Have Been Reported by Investigators at South China U niversity of Technology (Reinforcement Learningdriven Dynamic Obstacle Avoidanc e for Mobile Robot Trajectory Tracking)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated,“In this work, we propose a trajectory tracking method based on optimized Q-Learning (QL), which h asrealtime obstacle avoidance capability, for controlling wheeled mobile robots in dynamic local environments.Based on the observation data and the state of t he robot, the designed reinforcement learning (RL) methodcan determine the obst acle avoidance action during trajectory tracking while simultaneously utilizingcontrollers to maintain action precision.”

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Rob otics/South China University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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