摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。据NewsRx记者从中国北京发来的新闻报道,研究表明,“不同的患者有不同的康复要求,在康复训练中,确保不同康复阶段患者的安全和舒适至关重要。”新闻记者引用北京交通大学的一篇研究报道:“本研究提出了一种多模式自适应控制方法,以制定一种安全、顺应的康复训练策略。首先,根据每个任务周期的人-机器人平均作用力来评估患者的运动意图和运动能力;其次,建立了机器人主导、患者主导和安全停止三种康复训练模式。”在机器人主导模式下,根据患者的运动误差、运动能力和运动意图,自适应调整辅助水平和阻抗参数,帮助患者完成康复任务,鼓励患者积极参与。控制器只调整训练速度,当轨迹误差过大时,控制器切换到安全停止模式,以确保患者的安全。
Abstract
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.”