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Robot compliant catching by Maxwell model based Cartesian admittance control

Le Fu (State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China)
Jie Zhao (State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China)

Assembly Automation

ISSN: 0144-5154

Article publication date: 21 October 2020

Issue publication date: 27 July 2021

157

Abstract

Purpose

Admittance control is a typical complaint control methodology. Traditionally, admittance control systems are based on a dynamical relationship described by Voigt model. By contrast, after changing connection of spring and damper, Maxwell model produces different dynamics and has shown better impact absorption performance. This paper aims to design a novel compliant control method based on Maxwell model and implement it in a robot catching scenario.

Design/methodology/approach

To achieve this goal, this paper proposed a Maxwell model based admittance control scheme. Considering several motion stages involved in one catching attempt, the following approaches are adopted. First, Kalman filter is used to process the position data stream acquired from motion capture system and predict the subsequent object flying trajectory. Then, a linear segments with parabolic blends reaching motion is generated to achieve time-optimal movement under kinematic and joint inherent constraints. After robot reached the desired catching point, the proposed Maxwell model based admittance controller performs such as a cushion to moderate the impact between robot end-effector and flying object.

Findings

This paper has experimentally demonstrated the feasibility and effectiveness of the proposed method. Compared with typical Voigt model based compliant catching, less object bounding away from end-effector happens and the success rate of catching has been improved.

Originality/value

The authors proposed a novel Maxwell model based admittance control method and demonstrated its effectiveness in a robot catching scenario. The author’s approach may inspire other related researchers and has great potential of practical usage in a widespread of robot applications.

Keywords

Acknowledgements

This work was supported by the Major Research Plan (Grant No. 91648201) and the Foundation for Innovative Research Groups (Grant No. 51521003) of the National Natural Science Foundation of China. The authors would like to acknowledge the help of LSR and ITR, Technical University of Munich, for the guidance of hardware equipments.

Citation

Fu, L. and Zhao, J. (2021), "Robot compliant catching by Maxwell model based Cartesian admittance control", Assembly Automation, Vol. 41 No. 2, pp. 133-143. https://doi.org/10.1108/AA-04-2019-0062

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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