Real-Time Estimation of Sensorless Planar Robot Contact Information
Author(s) -
Zhiguang Liu,
Fei Yu,
Liang Zhang,
Tiejun Li
Publication year - 2017
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2017.p0557
Subject(s) - robot , planar , control theory (sociology) , contact force , torque , point (geometry) , computer science , optimization problem , artificial intelligence , algorithm , mathematics , physics , control (management) , computer graphics (images) , geometry , quantum mechanics , thermodynamics
[abstFig src='/00290003/11.jpg' width='300' text='Estimation of robot contact information' ] The real-time estimation of sensorless planar robot contact information is a very important but also difficult subject in human-robot interaction. This paper proposes a method for the real-time estimation of contact location and contact force along a planar joint robot manipulator without using external sensory systems. A momentum-based method is used to estimate external joint torques due to the contact force and to determine a minimum contact range firstly. A nonlinear constrained optimization algorithm is presented to search the contact point. The contact force is calculated by dynamics. The searching space determined by the momentum-based approach is limited within the length range of the contact arm, so the solution speed of the optimization algorithm is high. The proposed method of combining observation algorithm and optimization algorithm transforms a complex detection problem of the any contact point on the robot body into a simple one-dimensional optimization solution with simple bound. The effectiveness of the proposed approach is validated through simulations and experimental results for the planar robot manipulator.
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