基于opensim的上肢动力学仿真

Pengfei Liu, Jin Hua, Li Wang, Yue Zhao
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引用次数: 0

摘要

摘要:随着机器人工业的蓬勃发展,对机器人的控制要求越来越高,并且具有越来越人性化的特点。因此,研究人体上肢运动机理对机器人控制优化具有重要意义。本研究建立了人体上肢肌肉骨骼模型,通过立体摄影测量系统采集上肢运动数据,进行模型缩放,匹配实验对象的测量和生理特征,生成肘关节和肩关节的广义坐标值。然后,Opensim模拟了受试者在拉动和触发动作过程中的神经肌肉控制机制,并分析了上肢动力学。动态仿真的RMS和MAX标记误差均在可容忍范围内,实验肌电信号与仿真结果的肌肉激活吻合较好,验证了仿真的正确性。为上肢运动分析提供了理论依据,也为机器人控制优化提供了思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Opensim-Based Dynamics Simulation of Upper Limb
Abstract-Nowadays, robot industry is booming, and the control requirements are higher with more user-friendly features. Therefore, it is significant to study the mechanism of human upper limb movement for robot control optimization. In this study, a musculoskeletal model of human upper limb was established, and the motion data of the upper limb was collected by a stereo photogrammetry system, which was used for model scaling to match the measurement and physiological characteristics of the experimental subjects and generated the generalized coordinate values of the elbow and shoulder joints. Then, Opensim simulates the neuromuscular control mechanism during the pull and trigger action of the subject and analyzes the upper limb dynamics. The RMS and MAX marker errors of the dynamic simulation were within the tolerable range, and the experimental EMG signals could match well with the muscle activation of the simulation results, which verified the correctness of the simulation. It provides a theoretical basis for upper limb kinetic analysis, and also provides thoughts for robot control optimization.
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