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

Download statistics - Document (COUNTER):

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). Piscataway, NJ : IEEE, 2022, S. 1417-1422. DOI: https://doi.org/10.1109/CASE49997.2022.9926604

Repository version

To cite the version in the repository, please use this identifier: https://doi.org/10.15488/13413

Selected time period:

year: 
month: 

Sum total of downloads: 166




Thumbnail
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.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: BookPart
Publishing status: acceptedVersion
Issue Date: 2022
Appears in Collections:Fakultät für Maschinenbau

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 90 54.22%
2 image of flag of United States United States 20 12.05%
3 image of flag of Ireland Ireland 11 6.63%
4 image of flag of India India 4 2.41%
5 image of flag of France France 4 2.41%
6 image of flag of Taiwan Taiwan 3 1.81%
7 image of flag of Netherlands Netherlands 3 1.81%
8 image of flag of Japan Japan 3 1.81%
9 image of flag of Italy Italy 3 1.81%
10 image of flag of China China 3 1.81%
    other countries 22 13.25%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse