首页|Report Summarizes Robotics Study Findings from Beijing University of Technology (A Study On Path-planning Algorithm for a Multi-section Continuum Robot In Confi ned Multi-obstacle Environments)
Report Summarizes Robotics Study Findings from Beijing University of Technology (A Study On Path-planning Algorithm for a Multi-section Continuum Robot In Confi ned Multi-obstacle Environments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news reporting originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated, “In confined multi-obstacle environments, g enerating feasible paths for continuum robots is challenging due to the need to avoid obstacles while considering the kinematic limitations of the robot. This p aper deals with the path-planning algorithm for continuum robots in confined mul ti-obstacle environments to prevent their over-deformation.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Great Scholars Program, China Postdoctoral Science Foundatio n.
BeijingPeople’s Republic of ChinaAsi aAlgorithmsEmerging TechnologiesMachine LearningNano-robotRobotRobot icsBeijing University of Technology
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