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Robot navigation in unknown environments requires an efficient exploration method. Exploration involves not only to determine towards the robot must to move but also motion planning, and simultaneous localization and mapping processes. The final goal of the exploration task is to build a map of the environment that previously the robot didn’t know. This work proposes the Voronoi Fast Marching method,...
The Extended Voronoi Transform and the Fast Marching Method combination provide potential maps for robot navigation in previously unexplored dynamic environments. The Logarithm of the Extended Voronoi Transform imitates the repulsive electric potential from walls and obstacles. The method proposed, called Voronoi Fast Marching method, uses a Fast Marching technique on the Extended Voronoi Transform...
Path planning for autonomous robots is an essential capacity for these systems. One class of path planning algorithms use potential fields. However, some problems associated with these algorithms include (1) Trapping due to local minima, (2) No passage between closely spaced obstacles, and (3) Limit cycles. This paper presents a potential-field-based algorithm that does not exhibit the mentioned problems...
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