基于动态运动基元导纳控制的坐立辅助机器人人机物理交互

Bibhu Sharma, Branesh M. Pillai, J. Suthakorn
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引用次数: 0

摘要

物理辅助机器人已被概念化,以补偿或增强人类的肌肉骨骼功能。然而,由于考虑到人机物理交互(pHRI)的安全性和有效性,柔性关节比刚性关节更受青睐。本文阐述了坐立辅助机器人导纳控制的实现。三自由度(dof)机器人包括以平行配置的滚珠丝杠为基础的线性执行器。虽然驱动系统在强度和性能上较好,但其非反驱动特性证实了关节的刚性,不利于人机交互操作。为了提高合规性,采用了基于力传感器的导纳控制系统。在运动规划方面,将运动轨迹建模为动态运动原语(Dynamic Movement Primitives, DMP),便于导纳控制的实现。在机器人样机中实现了该模型,并通过力输入和运动输出进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Physical Human-Robot Interaction (pHRI) through Admittance Control of Dynamic Movement Primitives in Sit-to-Stand Assistance Robot
Physically assistance robots have been conceptualized to compensate or augment the human musculoskeletal function. However, due to the concerns of safety and effectiveness for physical human-robot interaction (pHRI) in such robots, compliant joints are preferred over the rigid joints. This paper illustrates the implementation of admittance control in a sit-to-stand (STS) assistance robot. The 3-degrees of freedom (dof) robot comprises of ball screw-based linear actuators that are arranged in a parallel configuration. While the actuation system is preferable for strength and performance, the non-backdrivable characteristic corroborates the rigidity of the joint, making it unfavorable for human-robot interaction operation. To enhance compliance, force sensor-based admittance control system is implemented. Regarding motion planning, the trajectory were modeled as Dynamic Movement Primitives (DMP), which facilitates the implementation of admittance control. The proposed model is implemented in the robot prototype and validated by illustrating the force input and the motion output.
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