Residual force polytope: admissible task-space forces of dynamic trajectories

Ferrolho, Henrique, Merkt, Wolfgang, Tiseo, Carlo and Vijayakumar, Sethu (2021) Residual force polytope: admissible task-space forces of dynamic trajectories. Robotics and Autonomous Systems, 142. a103814. ISSN 0921-8890

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Abstract

We propose a representation for the set of forces a robot can counteract using full system dynamics: the residual force polytope. Given the nominal torques required by a dynamic motion, this representation models the forces which can be sustained without interfering with that motion. The residual force polytope can be used to analyze and compare the set of admissible forces of different trajectories, but it can also be used to define metrics for solving optimization problems, such as in trajectory optimization or system design. We demonstrate how such a metric can be applied to trajectory optimization and compare it against other objective functions typically used. Our results show that the trajectories computed by optimizing objectives defined as functions of the residual force polytope are more robust to unknown external disturbances. The computational cost of these metrics is relatively high and not compatible with the short planning times required by online methods, but they are acceptable for planning motions offline.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 28 Oct 2021 10:28
Last Modified: 25 May 2022 01:00
URI: http://sro.sussex.ac.uk/id/eprint/102539

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