首页|Researchers from Tsinghua University Report on Findings in Robotics (Learning To Assist Different Wearers In Multitasks: Efficient and Individualized Human-in-t he-loop Adaptation Framework for Lower-limb Exoskeleton)
Researchers from Tsinghua University Report on Findings in Robotics (Learning To Assist Different Wearers In Multitasks: Efficient and Individualized Human-in-t he-loop Adaptation Framework for Lower-limb Exoskeleton)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Robotics are presented i n a new report. According to news reportingoriginating in Beijing, People’s Rep ublic of China, by NewsRx journalists, research stated, “One of thetypical purp oses of using lower-limb exoskeleton robots is to provide assistance to the wear er by supportingtheir weight and augmenting their physical capabilities accordi ng to a given task and human motionintentions. The generalizability of robots a cross different wearers in multiple tasks is important to ensurethat the robot can provide correct and effective assistance in actual implementation.”
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRobotRoboticsTsinghu a University
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