首页|Research from Beijing Jiaotong University Yields New Study Findings on Robotics (Multi-mode adaptive control strategy for a lower limb rehabilitation robot)
Research from Beijing Jiaotong University Yields New Study Findings on Robotics (Multi-mode adaptive control strategy for a lower limb rehabilitation robot)
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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 originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Different patients have different re habilitation requirements. It is essential to ensure the safety and comfort of p atients at different recovery stages during rehabilitation training.” The news correspondents obtained a quote from the research from Beijing Jiaotong University: “This study proposes a multi-mode adaptive control method to achiev e a safe and compliant rehabilitation training strategy. First, patients’ motion intention and motor ability are evaluated based on the average human-robot inte raction force per task cycle. Second, three kinds of rehabilitation training mod es-robotdominant, patient-dominant, and safety-stop-are established, and the ad aptive controller can dexterously switch between the three training modes. In th e robot-dominant mode, based on the motion errors, the patient’s motor ability, and motion intention, the controller can adaptively adjust its assistance level and impedance parameters to help patients complete rehabilitation tasks and enco urage them to actively participate. In the patient-dominant mode, the controller only adjusts the training speed. When the trajectory error is too large, the co ntroller switches to the safety-stop mode to ensure patient safety.”
Beijing Jiaotong UniversityBeijingPe ople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRobotics
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