Autonomous mobile robot navigation using a dual artificial neural network

Wahidin Wahab

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

Abstract

This paper deals with an intelligent control of an autonomous mobile robot which should move safely in an environment to find a target. We describe our approach to solve the motion-planning problem in mobile robot control using artificial neural networks technique.The algorithm constructs a collision-free path for moving robot among obstacles based on two neural networks. The first neural network is used to determine the free space needed to avoid obstacles. The second neural network is used to navigate robot into target. Simulation examples is presented at the end of the paper.

Original languageEnglish
Title of host publicationTENCON 2009 - 2009 IEEE Region 10 Conference
DOIs
Publication statusPublished - 2009
Event2009 IEEE Region 10 Conference, TENCON 2009 - Singapore, Singapore
Duration: 23 Nov 200926 Nov 2009

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Conference

Conference2009 IEEE Region 10 Conference, TENCON 2009
Country/TerritorySingapore
CitySingapore
Period23/11/0926/11/09

Keywords

  • Algorithm
  • Autonomous
  • Dual ann
  • Mobile robot
  • Navigation
  • Obstacle avoidance
  • Simulation

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