首页|Findings from University of Shanghai for Science and Technology in Robotics Repo rted (Learning From Demonstration for Autonomous Generation of Robotic Trajector y: Status Quo and Forward-looking Overview)
Findings from University of Shanghai for Science and Technology in Robotics Repo rted (Learning From Demonstration for Autonomous Generation of Robotic Trajector y: Status Quo and Forward-looking Overview)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting out of Shanghai, People's Republic of China, by NewsRx editors, research stated, "Learning from demonstration (LfD) e nables robots to intuitively acquire new skills from human demonstrations and in crementally evolve robotic intelligence. Given the significance of LfD in a wide variety of applications, this survey aims to update the recently related develo pment from the perspective of the autonomous generation of robotic trajectories via LfD." Financial supporters for this research include Several research, internationally collaborative, and overseas PhD scholarship projects of the National Natural Sc ience Foundation of China, Science & Technology Commission of Shan ghai Municipality (STCSM), China Scholarship Council, Engineering & Physical Sciences Research Council (EPSRC), China Postdoctoral Science Foundation.
ShanghaiPeople's Republic of ChinaAs iaEmerging TechnologiesMachine LearningRoboticsRobotsUniversity of Sha nghai for Science and Technology
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