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
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;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6426697