ICRA 2023poster2 citations

An Optimal Open-Loop Strategy for Handling a Flexible Beam with a Robot Manipulator

Shamil Mamedov, Alejandro Astudillo, Daniele Ronzani, Wilm Decré, Jean-Philippe Noël, Jan Swevers

Abstract

Fast and safe manipulation of flexible objects with a robot manipulator necessitates measures to cope with vibrations. Existing approaches either increase the task execution time or require complex models and/or additional instrumentation to measure vibrations. This paper develops a model-based method that overcomes these limitations. It relies on a simple pendulum-like model for modeling the beam, open-loop optimal control for suppressing vibrations, and does not require any exteroceptive sensors. We experimentally show that the proposed method drastically reduces residual vibrations – at least 90% – and outperforms the commonly used input shaping (IS) for trajectories with the same execution time. Besides, our method can also execute the task faster than IS with a minor reduction in vibration suppression performance, thereby facilitating the development of new solutions for flexible object manipulation tasks.

BibTeX
@inproceedings{icra2023_anoptimalopenloo,
  title = {An Optimal Open-Loop Strategy for Handling a Flexible Beam with a Robot Manipulator},
  author = {Shamil Mamedov and Alejandro Astudillo and Daniele Ronzani and Wilm Decré and Jean-Philippe Noël and Jan Swevers},
  booktitle = {ICRA 2023},
  year = {2023}
}