Trajectory Planning and Stabilization for Formations Acting in Dynamic Environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00210722" target="_blank" >RIV/68407700:21230/13:00210722 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-40669-0_28" target="_blank" >http://dx.doi.org/10.1007/978-3-642-40669-0_28</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-40669-0_28" target="_blank" >10.1007/978-3-642-40669-0_28</a>
Alternative languages
Result language
angličtina
Original language name
Trajectory Planning and Stabilization for Formations Acting in Dynamic Environments
Original language description
A formation driving mechanism suited for utilization of multi-robot teams in highly dynamic environments is proposed in this paper. The presented approach enables to integrate a prediction of behaviour of moving objects in robots' workspace into a formation stabilization and navigation framework. It will be shown that such an inclusion of a model of the surrounding environment directly into the formation control mechanisms facilitates avoidance manoeuvres in a case of fast dynamic objects approaching ina collision course. Besides, the proposed model predictive control based approach enables to stabilize robots in a compact formation and it provides a failure tolerance mechanism with an inter collision avoidance. The abilities of the algorithm are verified via numerous simulations and hardware experiments with the main focus on evaluation of performance of the algorithm with different sensing capabilities of the robotic system.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Progress in Artificial Intelligence
ISBN
978-3-642-40668-3
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
319-330
Publisher name
Springer
Place of publication
Heidelberg
Event location
Angra do Heroísmo
Event date
Sep 9, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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