DocumentCode :
2846937
Title :
Mission control: Local versus global modeling of robot tasking and routing
Author :
Froehlich, Ralf
Author_Institution :
Inst. of Autom., Hamburg Univ. of Technol., Hamburg
fYear :
2008
fDate :
23-26 Aug. 2008
Firstpage :
566
Lastpage :
571
Abstract :
This paper presents two modeling approaches for a cooperative control problem for a homogeneous team of robots acting on a cellular two-dimensional space which includes targets and obstacles. First a combinatorial assignment and scheduling approach is used to generate collision free trajectories for the robots. The second approach formulates the optimization problem of finding collision free and optimal trajectories using a receding horizon approach. This approach uses a sequence of optimization problems which are solved for a planning horizon which are then executed over a shorter action horizon. The two modeling approaches are tested and evaluated using illustrative simulation examples.
Keywords :
collision avoidance; combinatorial mathematics; mobile robots; multi-robot systems; optimisation; scheduling; cellular 2D space; collision free trajectory; combinatorial assignment approach; cooperative control problem; global modeling; homogeneous robot team; local modeling; mission control; optimization problem; planning horizon; receding horizon approach; robot routing; robot tasking; scheduling approach; Automatic control; Control systems; Orbital robotics; Robot kinematics; Robotics and automation; Routing; Space exploration; Space missions; Testing; Trajectory; Autonomous Systems; Cooperative Control; Optimization; Receding Horizon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4244-2022-3
Electronic_ISBN :
978-1-4244-2023-0
Type :
conf
DOI :
10.1109/COASE.2008.4626413
Filename :
4626413
Link To Document :
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