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Time enhanced A*: Towards the development of a new approach for Multi-Robot Coordination

Joana Santos, Pedro Costa, Luís F. Rocha, António Paulo Moreira, Germano Veiga

Year
2015
Citations
25

Abstract

In this paper the authors focus on presenting a new path planning approach for a multi-robot transportation system in an industrial case scenario. The proposed method is based on the A∗ heuristic search in a cell decomposition scenario, for which a time component was added — Time Enhanced A∗ or simply TEA∗. To access the flexibility and efficiency of the proposed algorithm, a set of experiments were performed in a simulated industrial environment. During trials execution the proposed algorithm has shown high capability on preventing/dealing with the occurrence of deadlocks in the transportation system.

Keywords

Flexibility (engineering)Computer scienceComponent (thermodynamics)HeuristicFocus (optics)RobotSet (abstract data type)DecompositionMotion planningDistributed computing

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