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

Henrique Ferrolho, Wolfgang Merkt, Carlo Tiseo, Sethu Vijayakumar

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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.
Original languageEnglish
Article number103814
Number of pages11
JournalRobotics and Autonomous Systems
Early online date24 May 2021
Publication statusPublished - 1 Aug 2021

Keywords / Materials (for Non-textual outputs)

  • Robustness
  • Polytopes
  • Trajectory optimization
  • Robotic arms


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