首页|Studies from Shanghai Jiao Tong University Provide New Data on Robotics and Auto mation (Improving Task-agnostic Energy Shaping Control of Powered Exoskeletons W ith Task/gait Classification)
Studies from Shanghai Jiao Tong University Provide New Data on Robotics and Auto mation (Improving Task-agnostic Energy Shaping Control of Powered Exoskeletons W ith Task/gait Classification)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. According tonews reporting originating in Sha nghai, People’s Republic of China, by NewsRx journalists, research stated,“Emer ging task-agnostic control methods offer a promising avenue for versatile assist ance in poweredexoskeletons without explicit task detection, but typically come with a performance trade-off for specifictasks and/or users. One such approach employs data-driven optimization of an energy shaping controllerto provide nat uralistic assistance across essential daily tasks with passivity/stability guara ntees.”
ShanghaiPeople’s Republic of ChinaAs iaRobotics andAutomationRoboticsEmerging TechnologiesMachine LearningPowered ExoskeletonShanghai Jiao Tong University
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