首页|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)
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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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.”
GuangzhouPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningReinforcement LearningRobotRob oticsSouth China University of Technology
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