Nonlinear Disturbance Observer for External Force Estimation in a Cooperative Robot*

Shirin Yousefizadeh, T. Bak
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引用次数: 7

Abstract

In human-robot cooperation, where the robot shares workspace with humans, safety of the operator becomes a major concern. To this aim, the robot is required to detect forces from the human operator and the environment, and react to them accordingly. Since force sensors can be very expensive, force estimation methods are proposed. In this paper, the goal is to estimate the external forces acting on the end-effector of the robot. These forces make torques at the joint space. To estimate the applied joint space external torques, a nonlinear disturbance observer is proposed. The estimated torque can be converted into task space force, using the Jacobian matrix. The suggested method is demonstrated on a WallMoBot, which is designed to help the operator to install heavy glass panels. Simulation results and preliminary experimental results are presented to show the validity of the proposed observer in estimating the applied joint space external torques of the WallMoBot.
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基于非线性扰动观测器的协同机器人外力估计*
在人机协作中,机器人与人类共享工作空间,操作人员的安全成为一个主要问题。为此,机器人需要检测来自人类操作员和环境的力,并对它们做出相应的反应。由于力传感器非常昂贵,提出了力估计方法。本文的目标是估计作用在机器人末端执行器上的外力。这些力在关节空间产生力矩。为了估计所施加的关节空间外力矩,提出了一种非线性扰动观测器。利用雅可比矩阵将估计的力矩转化为任务空间力。建议的方法在WallMoBot上进行了演示,该机器人旨在帮助操作员安装重型玻璃板。仿真结果和初步实验结果表明,所提出的观测器在估计WallMoBot的关节空间外扭矩方面是有效的。
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