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A Hybrid Path-Planning Strategy for Mobile Robots with Limited Sensor Capabilities
Guilherme Carlos R de Oliveira1, Kevin B de Carvalho2, Alexandre S Brandão3
1Núcleo de Especialização em Robótica-NERO, Departamento de Engenharia Elétrica-DEL, Universidade Federal de Viçosa-UFV, Viçosa MG 36570-900, Brazil. guilherme@ufv.br.
Abstract:
This paper introduces a strategy for the path planning problem for platforms with limited sensor and processing capabilities. The proposed algorithm does not require any prior information but assumes that a mapping algorithm is used. If enough information is available, a global path planner finds sub-optimal collision-free paths within the known map. For the real time obstacle avoidance task, a simple and cost-efficient local planner is used, making the algorithm a hybrid global and local planning solution. The strategy was tested in a real, cluttered environment experiment using the Pioneer P3-DX and the Xbox 360 kinect sensor, to validate and evaluate the algorithm efficiency.
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