DocumentCode
3176897
Title
Constrained motion planning for multiple vehicles on SE(3)
Author
Saccon, Alessandro ; Aguiar, A. Pedro ; Hausler, Andreas J. ; Hauser, John ; Pascoal, Antonio M.
Author_Institution
LARSyS, Tech. Univ. of Lisbon (UTL), Lisbon, Portugal
fYear
2012
fDate
10-13 Dec. 2012
Firstpage
5637
Lastpage
5642
Abstract
This paper proposes a computational method to solve constrained cooperative motion planning problems for multiple vehicles undergoing translational and rotational motions. The problem is solved by means of the Lie group projection operator approach, a recently developed optimization strategy for solving continuous-time optimal control problems on Lie groups. State constraints (for collision avoidance) are handled by means of a set of barrier functions, turning the optimization approach into an interior point method. A sample computation is shown to demonstrate the effectiveness of the method.
Keywords
Lie groups; autonomous underwater vehicles; collision avoidance; continuous time systems; multi-robot systems; optimal control; optimisation; state-space methods; AUV; Lie group projection operator approach; SE(3); autonomous underwater vehicles; barrier functions; collision avoidance; computational method; constrained cooperative motion planning problems; continuous-time optimal control problems; interior point method; multiple vehicles; optimization strategy; rotational motions; state constraints; translational motions; Algebra; Optimal control; Optimization; Planning; Trajectory; Vehicle dynamics; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location
Maui, HI
ISSN
0743-1546
Print_ISBN
978-1-4673-2065-8
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2012.6426697
Filename
6426697
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