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机器人成“康复助手”?先学好周期运动
Xin Hua She· 2025-09-18 22:38
Core Insights - The article discusses advancements in robotic technology, specifically focusing on a new framework for stable periodic motion, which has significant implications for rehabilitation assistance [1][2]. Group 1: Technological Advancements - A new trajectory stabilization learning framework has been proposed by a research team at the Chinese Academy of Sciences, aimed at improving the execution of rhythmic movements by robots [1][2]. - Traditional robotic skill learning methods require pre-programmed action sequences, which are time-consuming and limit adaptability in complex environments [1]. Group 2: Application in Rehabilitation - The stable and precise repetitive movements of robots can assist patients in rhythmic upper limb or gait training, aiding in the recovery of motor functions and muscle control [2][3]. - In collaboration with rehabilitation doctors, the team utilized optical motion capture systems to record and replicate periodic rehabilitation actions, allowing robots to maintain standard rehabilitation trajectories despite patient deviations or external disturbances [2].
科学与健康丨机器人成“康复助手”?先学好周期运动
Xin Hua She· 2025-09-18 17:23
Core Insights - A new framework for trajectory stability learning has been proposed by a research team at the Institute of Automation, Chinese Academy of Sciences, which shows promise for applications in robot-assisted rehabilitation training [2][3] - The framework addresses the challenge of maintaining consistent periodic motion in robots, which is crucial for tasks such as rehabilitation exercises and synchronized operations on production lines [2][3] Group 1: Research and Development - The research was published on September 18 in the International Journal of Robotics Research, highlighting advancements in robot motion control [2] - Traditional robot skill learning methods require pre-programmed action sequences, which are time-consuming and limit adaptability in complex environments [2][3] - The introduction of transverse contraction theory provides theoretical support for the stability of learned dynamic systems, ensuring robots can return to a stable periodic trajectory regardless of initial conditions [3] Group 2: Applications and Benefits - The new method has shown superior performance in maintaining trajectory accuracy, especially during prolonged movements, making it particularly suitable for rehabilitation training [3] - Robots can assist patients in repetitive exercises, such as arm circular motions or leg swings, acting as patient rehabilitation coaches to enhance training effectiveness [4] - Collaborations with rehabilitation doctors have demonstrated the ability of robots to maintain standard rehabilitation trajectories despite patient movement deviations or external disturbances [3][4]