UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Benchmarking local motion planners for navigation of mobile manipulators

Tafnakaji, S; Hajieghrary, H; Teixeira, Q; Bekiroglu, Y; (2023) Benchmarking local motion planners for navigation of mobile manipulators. In: 2023 IEEE/SICE International Symposium on System Integration, SII 2023. IEEE: Atlanta, GA, USA. Green open access

[thumbnail of 2211.01812.pdf]
Preview
Text
2211.01812.pdf - Accepted Version

Download (553kB) | Preview

Abstract

There are various trajectory planners for mobile manipulators. It is often challenging to compare their performance under similar circumstances due to differences in hardware, dissimilarity of tasks and objectives, as well as uncertainties in measurements and operating environments. In this paper, we propose a simulation framework to evaluate the performance of the local trajectory planners to generate smooth, and dynamically and kinematically feasible trajectories for mobile manipulators in the same environment. We focus on local planners as they are key components that provide smooth trajectories while carrying a load, react to dynamic obstacles, and avoid collisions. We evaluate two prominent local trajectory planners, Dynamic-Window Approach (DWA) and Time Elastic Band (TEB) using the metrics that we introduce. Moreover, our software solution is applicable to any other local planners used in the Robot Operating System (ROS) framework, without additional programming effort.

Type: Proceedings paper
Title: Benchmarking local motion planners for navigation of mobile manipulators
Event: 2023 IEEE/SICE International Symposium on System Integration (SII)
Dates: 17 Jan 2023 - 20 Jan 2023
ISBN-13: 9798350398687
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/SII55687.2023.10039133
Publisher version: https://doi.org/10.1109/SII55687.2023.10039133
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10167369
Downloads since deposit
1,463Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item