Behavior architecture controller for an autonomous robot navigation in an unknown environment to perform a given task | Zendy

Xavier A Jasmine | Zendy; Selvakumari R Shantha | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Behavior architecture controller for an autonomous robot navigation in an unknown environment to perform a given task

Author(s) -

Xavier A Jasmine,

Selvakumari R Shantha

Publication year - 2015

Publication title -

international journal of the physical sciences

Language(s) - English

Resource type - Journals

ISSN - 1992-1950

DOI - 10.5897/ijps2014.4242

Subject(s) - obstacle avoidance , robot , mobile robot navigation , mobile robot , task (project management) , obstacle , collision avoidance , controller (irrigation) , computer science , key (lock) , robot control , autonomous robot , fuzzy logic , social robot , artificial intelligence , collision , simulation , control engineering , human–computer interaction , engineering , geography , computer security , systems engineering , agronomy , archaeology , biology

The aim of this paper is to carry out navigation task in an unknown environment with high density obstacles using an autonomous mobile robot. Fuzzy logic approach is used for the robot planning because the output varies smoothly as the input changes. If the navigation environment contains one or more obstacles the robot must be able to avoid collisions. The robot uses the obstacle avoidance controller in order to reach the final destination safely without collision with these objects. The robot moves toward the goal and when an obstacle is detected in one of the three sides (front, left, right) the obstacle avoidance behavior is activated to generate the appropriate actions for avoiding these collisions. Key words: Robot navigation, robot exploration, goal seeking.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research