首页|Reports Outline Robotics Study Findings from Chongqing Technology and Business U niversity (An Indoor Blind Area-oriented Autonomous Robotic Path Planning Approa ch Using Deep Reinforcement Learning)
Reports Outline Robotics Study Findings from Chongqing Technology and Business U niversity (An Indoor Blind Area-oriented Autonomous Robotic Path Planning Approa ch Using Deep Reinforcement Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Robotics is now availab le. According to news reporting originatingfrom Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “Deep reinforcementlearning (DRL) provides a new solution for autonomous robotic path planning in a known in doorenvironment. Previous studies mainly focused on robot path optimization but ignored blind areas in theindoor exploration, naturally result in low coverage rate and low exploration efficiency.”
ChongqingPeople’s Republic of ChinaA siaAutonomous RobotEmerging TechnologiesMachine LearningReinforcement Le arningRobotRoboticsRobotsChongqing Technology and Business University
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