Simulation of optical flow and fuzzy based obstacle avoidance system for mobile robots

dc.contributor.author	Illeperuma, D.G.
dc.contributor.author	Sonnadara, D.U.J.
dc.date.accessioned	2021-03-10T07:00:00Z
dc.date.available	2021-03-10T07:00:00Z
dc.date.issued	2015
dc.identifier.citation	International Journal of Artificial Intelligence and Neural Networks 5(1), 53-56 (2015)	en_US
dc.identifier.uri	http://archive.cmb.ac.lk:8080/xmlui/handle/70130/5117
dc.description.abstract
dc.description.abstract	Honey bees use optical flow to avoid obstacles effectively. In this research work similar methodology was tested on a simulated mobile robot. Simulation framework was based on VRML and Simulink in a 3D world. Optical flow vectors were calculated from a video scene captured by a virtual camera which was used as inputs to a fuzzy logic controller. Fuzzy logic controller decided the locomotion of the robot. Different fuzzy logic rules were evaluated. The robot was able to navigate through complex static and dynamic environments effectively, avoiding obstacles on its path
dc.language.iso	en	en_US
dc.subject	Optical flow	en_US
dc.subject	Fuzzy logic	en_US
dc.subject	Autonomous robotics	en_US
dc.title	Simulation of optical flow and fuzzy based obstacle avoidance system for mobile robots	en_US
dc.type	Article	en_US