首页|Findings from Donghua University Broaden Understanding of Robotics (Obstacle-avo idable Robotic Motion Planning Framework Based On Deep Reinforcement Learning)
Findings from Donghua University Broaden Understanding of Robotics (Obstacle-avo idable Robotic Motion Planning Framework Based On Deep Reinforcement Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting out ofShanghai, People’s Republic of China, by NewsRx editors, research stated, “Although robotic trajectorygeneration has been extensively studied, the motion planning in environments with obstacles st ill facessome open issues and is yet to be explored. In this article, a univers al motion planning framework basedon deep reinforcement learning (DRL) is propo sed to achieve autonomous obstacle avoidance for robotictasks.”
ShanghaiPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningReinforcement LearningRoboticsR obotsDonghua University
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