首页|Central South University Reports Findings in Robotics (Heuristic dense reward sh aping for learning-based map-free navigation of industrial automatic mobile robo ts)
Central South University Reports Findings in Robotics (Heuristic dense reward sh aping for learning-based map-free navigation of industrial automatic mobile robo ts)
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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 reporting out ofChangsha, People’s Republic of China, by NewsRx editors, research stated, “This paper presents a map-freenavi gation approach for industrial automatic mobile robots (AMRs), designed to ensur e computationalefficiency, cost-effectiveness, and adaptability. Utilizing deep reinforcement learning (DRL), the systemenables real-time decision-making with out fixed markers or frequent map updates.”
ChangshaPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotRobotics
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