Smooth Spline-based Trajectory Planning for Semi-Rigid Multi-Robot Formations

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OriginalspracheEnglisch
Titel des Sammelwerks2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022
Herausgeber (Verlag)IEEE Computer Society
Seiten1417-1422
Seitenumfang6
ISBN (elektronisch)9781665490429
ISBN (Print)978-1-6654-9043-6
PublikationsstatusVeröffentlicht - 2022
Veranstaltung18th IEEE International Conference on Automation Science and Engineering, CASE 2022 - Mexico City, Mexiko
Dauer: 20 Aug. 202224 Aug. 2022

Publikationsreihe

NameIEEE International Conference on Automation Science and Engineering
Band2022-August
ISSN (Print)2161-8070
ISSN (elektronisch)2161-8089

Abstract

This paper presents an approach for smooth trajectory planning in semi-rigid nonholonomic mobile robot formations using Bezier-splines. Unlike most existing approaches, the focus is on maintaining a semi-rigid formation, as required in many scenarios such as object transport, handling or assembly. We use a Relaxed A∗ planner to create an optimal collision-free global path and then smooth this path using splines. The smoothed global path serves to create target paths for every robot in the formation. From these paths, we then calculate the trajectories for each robot. In an iterative process, we match the velocities of the robots so that all trajectories are synchronized, and the dynamic limits of all robots are maintained. We provide experimental validation, which confirms no violation of the dynamic limits and shows an excellent control performance for a system of three robots moving at 0.3 m/s.

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Smooth Spline-based Trajectory Planning for Semi-Rigid Multi-Robot Formations. / Recker, Tobias; Lurz, Henrik; Raatz, Annika.
2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022. IEEE Computer Society, 2022. S. 1417-1422 (IEEE International Conference on Automation Science and Engineering; Band 2022-August).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Recker, T, Lurz, H & Raatz, A 2022, Smooth Spline-based Trajectory Planning for Semi-Rigid Multi-Robot Formations. in 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022. IEEE International Conference on Automation Science and Engineering, Bd. 2022-August, IEEE Computer Society, S. 1417-1422, 18th IEEE International Conference on Automation Science and Engineering, CASE 2022, Mexico City, Mexiko, 20 Aug. 2022. https://doi.org/10.15488/13413, https://doi.org/10.1109/CASE49997.2022.9926604
Recker, T., Lurz, H., & Raatz, A. (2022). Smooth Spline-based Trajectory Planning for Semi-Rigid Multi-Robot Formations. In 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022 (S. 1417-1422). (IEEE International Conference on Automation Science and Engineering; Band 2022-August). IEEE Computer Society. https://doi.org/10.15488/13413, https://doi.org/10.1109/CASE49997.2022.9926604
Recker T, Lurz H, Raatz A. Smooth Spline-based Trajectory Planning for Semi-Rigid Multi-Robot Formations. in 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022. IEEE Computer Society. 2022. S. 1417-1422. (IEEE International Conference on Automation Science and Engineering). doi: 10.15488/13413, 10.1109/CASE49997.2022.9926604
Recker, Tobias ; Lurz, Henrik ; Raatz, Annika. / Smooth Spline-based Trajectory Planning for Semi-Rigid Multi-Robot Formations. 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022. IEEE Computer Society, 2022. S. 1417-1422 (IEEE International Conference on Automation Science and Engineering).
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