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Coordinated multi-robotic vehicles navigation and control in shop floor automation
ID Klančar, Gregor (Author), ID Seder, Marija (Author)

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Abstract
In this paper, we propose a global navigation function applied to model predictive control (MPC) for autonomous mobile robots, with application to warehouse automation. The approach considers static and dynamic obstacles and generates smooth, collision-free trajectories. The navigation function is based on a potential field derived from an E* graph search algorithm on a discrete occupancy grid and by bicubic interpolation. It has convergent behavior from anywhere to the target and is computed in advance to increase computational efficiency. The novel optimization strategy used in MPC combines a discrete set of velocity candidates with randomly perturbed candidates from particle swarm optimization. Adaptive horizon length is used to improve performance. The efficiency of the proposed approaches is validated using simulations and experimental results.

Language:English
Keywords:navigation, model predictive control, path planing, mobile robots, warehouse automation
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FE - Faculty of Electrical Engineering
Publication status:Published
Publication version:Version of Record
Year:2022
Number of pages:21 str.
Numbering:Vol. 22, iss. 4, art. 1455
PID:20.500.12556/RUL-137297 This link opens in a new window
UDC:007.52
ISSN on article:1424-8220
DOI:10.3390/s22041455 This link opens in a new window
COBISS.SI-ID:97419779 This link opens in a new window
Publication date in RUL:09.06.2022
Views:766
Downloads:82
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Record is a part of a journal

Title:Sensors
Shortened title:Sensors
Publisher:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:14.02.2022

Secondary language

Language:Slovenian
Keywords:navigacija, modelno prediktivno vodenje, planiranje poti, mobilni roboti, avtomatizacija skladišč

Projects

Funder:ARRS - Slovenian Research Agency
Project number:P2-0219
Name:Modeliranje, simulacija in vodenje procesov

Funder:ARRS - Slovenian Research Agency
Project number:L2-3168
Name:Razvoj samoučečega sistema za optimizacijo pravil vožnje avtonomnih transportnih vozil in njihovih časovno-prostorsko usklajenih aktivnosti

Funder:Other - Other funder or multiple funders
Funding programme:Epilog d.o.o.

Funder:MZOS - Ministry of Science, Education and Sports of the Republic of Croatia
Project number:KK.01.1.1.01.0009
Acronym:DATACROSS

Funder:EC - European Commission
Funding programme:European Regional Development Fund
Acronym:DATACROSS

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