Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/43284
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.
URI: http://www.scopus.com/inward/record.url?eid=2-s2.0-84874429879&partnerID=40&md5=f23e1968f847b435e84bb40d8e54766a
http://hdl.handle.net/20.500.12104/43284
Appears in Collections:Producción científica UdeG

Files in This Item:
There are no files associated with this item.


Items in RIUdeG are protected by copyright, with all rights reserved, unless otherwise indicated.