首页|Research Data from University of Science and Technology China Update Understandi ng of Robotics (Integrating Deep Reinforcement Learning and Improved Artificial Potential Field Method for Safe Path Planning for Mobile Robots)
Research Data from University of Science and Technology China Update Understandi ng of Robotics (Integrating Deep Reinforcement Learning and Improved Artificial Potential Field Method for Safe Path Planning for Mobile Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting out of Hefei, People’s Republic of China, by NewsRx editors, research stated, “PurposeThis paper aims to address the safety concerns of path-planning algorithms in dynamic obstacle warehouse environments.” Funders for this research include Science and Technology Major Project of Anhui Province, Opening Fund of State Key Laboratory of Fire Science (SKLFS), USTC Res earch Funds of the Double First-Class Initiative.
HefeiPeople’s Republic of ChinaAsiaCybersecurityEmerging TechnologiesMachine LearningNano-robotReinforceme nt LearningRoboticsUniversity of Science and Technology China
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