Publication Type:

Conference Paper

Source:

Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016, Institute of Electrical and Electronics Engineers Inc., Volume 1 (2017)

ISBN:

9781509012855

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011052386&doi=10.1109%2fINVENTIVE.2016.7823281&partnerID=40&md5=cf70eca2bbccd0b74126f636e015be4b

Keywords:

Ant colony optimization, Ant Colony Optimization algorithms, Artificial intelligence, Hardware, In-pipe, Mobile robots, Motion planning, Optimization, Pheromones, Robot path-planning, Robot programming, Robots, Single robots

Abstract:

<p>Mobile robot path planning is critical in the present day of automation. Several situations may occur for humans, like the environment may be dirty, hazardous, might cause death, or injury as in case of mining, detecting leakage in pipe, cleaning of pipe etc. where robots can be successfully employed. The idea of this paper is to develop a mobile robot that finds the shortest route from source to destination by using Ant Colony Optimization Algorithm with a single robot. The hardware used is iRobot Create interfaced to NXP LPC1768 Cortex M3 controller. The same is simulated using MATLAB. The output of the hardware is also made visible in Teraterm. It is observed that the mobile robot is enhanced with considerable skills to trace a path of optimum distance from source to destination without any collision in most of the situations, barring a few.</p>

Notes:

cited By 0; Conference of 2016 International Conference on Inventive Computation Technologies, ICICT 2016 ; Conference Date: 26 August 2016 Through 27 August 2016; Conference Code:125861

Cite this Research Publication

P. Joshy and Supriya, P., “Implementation of robotic path planning using Ant Colony Optimization Algorithm”, in Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016, 2017, vol. 1.

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