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Title: Obstacle avoidance using PSO
Author: Lopez-Franco, C.
Zepeda, J.
Arana-Daniel, N.
Lopez-Franco, L.
Issue Date: 2012
Abstract: In this paper we present an obstacle avoidance algorithm based on Particle Swarm Optimization (PSO), which is a stochastic optimization technique. The PSO algorithm was modified in order to solve the proposed problem, in our case each particle of the PSO represents a new position, during the PSO algorithm each particle is tested to see if it represents a valid position. The best PSO particle represents the new subgoal, this goal is used by a controller to move the robot from its current position to the subgoal. The algorithm is tested with different maps, that show the robot's path avoiding obstacles and reaching the goal. © 2012 IEEE.
Appears in Collections:Producción científica UdeG (prueba)

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