Elson Silva

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This paper addresses the problem of efficiently computing robot navigation functions. Navigation functions are potential functions free of spurious local minima that present an exact solution to the robot motion planning and control problem. Although some methodologies were found in the literature, none of them are easy to implement and generalize for(More)
This paper addresses the problem of mobile robot navigation using artificial potential fields. Many potential field based methodologies are found in the robotics literature, but most of them have problems with spurious local minima, which cause the robot to stop before reaching its target position. Although some free of local minima methodologies are found(More)
101S Abstract— Mesh free parallel implementations using multi-core processors are discussed. Particularly, parallelization of the MLPG and SPEM are shown. The appropriate strategies to correctly parallelize the mesh free methods are discussed. Parallel versions run up to 1.96 times faster on dual-core processor and 3.78 on quad-core processor when compared(More)
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