Prioritized Multi-agent Path Finding for Differential Drive Robots

Publication typeProceedings Article
Publication date2019-09-01
Abstract
Methods for centralized planning of the collision-free trajectories for a fleet of mobile robots typically solve the discretized version of the problem and rely on numerous simplifying assumptions, e.g. moves of uniform duration, cardinal only translations, equal speed and size of the robots etc., thus the resultant plans can not always be directly executed by the real robotic systems. To mitigate this issue we suggest a set of modifications to the prominent prioritized planner - AA-SIPP(m) - aimed at lifting the most restrictive assumptions (syncronized translation only moves, equal size and speed of the robots) and at providing robustness to the solutions. We evaluate the suggested algorithm in simulation and on differential drive robots in typical lab environment (indoor polygon with external video-based navigation system). The results of the evaluation provide a clear evidence that the algorithm scales well to large number of robots (up to hundreds in simulation) and is able to produce solutions that are safely executed by the robots prone to imperfect trajectory following. The video of the experiments can be found at https://youtu.be/Fer_irn4BG0.
Found 
Found 

Top-30

Journals

1
2
3
4
5
Lecture Notes in Computer Science
5 publications, 33.33%
IEEE Access
1 publication, 6.67%
IEEE Robotics and Automation Letters
1 publication, 6.67%
Knowledge-Based Systems
1 publication, 6.67%
IEEE Transactions on Neural Networks and Learning Systems
1 publication, 6.67%
Scientific and Technical Information Processing
1 publication, 6.67%
Drones
1 publication, 6.67%
1
2
3
4
5

Publishers

1
2
3
4
5
6
7
Institute of Electrical and Electronics Engineers (IEEE)
7 publications, 46.67%
Springer Nature
5 publications, 33.33%
Elsevier
1 publication, 6.67%
Allerton Press
1 publication, 6.67%
MDPI
1 publication, 6.67%
1
2
3
4
5
6
7
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
15
Share
Cite this
GOST |
Cite this
GOST Copy
Yakovlev K., Andreychuk A., Vorobyev V. Prioritized Multi-agent Path Finding for Differential Drive Robots // 2019 European Conference on Mobile Robots (ECMR). 2019.
GOST all authors (up to 50) Copy
Yakovlev K., Andreychuk A., Vorobyev V. Prioritized Multi-agent Path Finding for Differential Drive Robots // 2019 European Conference on Mobile Robots (ECMR). 2019.
RIS |
Cite this
RIS Copy
TY - CPAPER
DO - 10.1109/ECMR.2019.8870957
UR - https://doi.org/10.1109/ECMR.2019.8870957
TI - Prioritized Multi-agent Path Finding for Differential Drive Robots
T2 - 2019 European Conference on Mobile Robots (ECMR)
AU - Yakovlev, Konstantin
AU - Andreychuk, Anton
AU - Vorobyev, V
PY - 2019
DA - 2019/09/01
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@inproceedings{2019_Yakovlev,
author = {Konstantin Yakovlev and Anton Andreychuk and V Vorobyev},
title = {Prioritized Multi-agent Path Finding for Differential Drive Robots},
year = {2019},
month = {sep},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)}
}