Environment map building using low-cost IR sensors and a servo motor for mobile robot

Hong Duck Eom, Jae Wook Jeon

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

5 Scopus citations

Abstract

This paper presents an environment map building method to detect and to avoid obstacles using a low-cost IR sensor and the turn angle of a servo motor for autonomous mobile robots. The environment map building methods widely used by autonomous mobile robots require an expensive sensor or several sensors, such as camera, laser sensor and so on. With the method we present, an autonomous robot can draw the environment map without using the several expensive sensors. We control the mobile robot through the IR sensor on the servo motor for increasing the obstacle recognition range. The distance data and the angle of the motor are used to draw an environment map. The proposed method was verified in a controlled environment by experiment.

Original languageEnglish
Title of host publicationISCE 2014 - 18th IEEE International Symposium on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479945924
DOIs
StatePublished - 2014
Event18th IEEE International Symposium on Consumer Electronics, ISCE 2014 - Jeju, Korea, Republic of
Duration: 22 Jun 201425 Jun 2014

Publication series

NameProceedings of the International Symposium on Consumer Electronics, ISCE

Conference

Conference18th IEEE International Symposium on Consumer Electronics, ISCE 2014
Country/TerritoryKorea, Republic of
CityJeju
Period22/06/1425/06/14

Keywords

  • Cost-effectiveness
  • Environment map
  • IR sensor
  • Mobile Robot

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