Robot compliant catching by Maxwell model based Cartesian admittance control
ISSN: 0144-5154
Article publication date: 21 October 2020
Issue publication date: 27 July 2021
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
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited