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Development of Body Rotational Wheeled Robot and its Verification of Effectiveness

  • Byeong Seop Sim
  • , Kun Jung Kim
  • , Kee Ho Yu

Research output: Contribution to conferenceConference paperpeer-review

Abstract

A wheeled robot operating on various terrains such as scattered obstacles and slopes is required to cope with and overcome the driving environment. In this paper, in order to overcome a step-type obstacle and to steadily ascend on the slope, the main body rotation mechanism, which controls the load distribution on the robot wheels was proposed for a wheel-drive robot. By rotating the center of the body mass, the friction/traction force required for climbing step obstacles can be reduced. In the case of slope traveling, the slip can be suppressed, and the traveling ability improved by controlling the load distribution excessively increased on the downhill wheel due to the attitude change of the robot's body. The mechanical effect of the proposed body rotation mechanism was analyzed. In addition, based on the design and manufacture of the robot platform, the effectiveness of the proposed mechanism was convincingly demonstrated by indoor test for step-obstacle climbing and slope-traveling.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Robotics and Automation, ICRA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages10405-10411
Number of pages7
ISBN (Electronic)9781728173955
DOIs
StatePublished - 2020.05
Event2020 IEEE International Conference on Robotics and Automation, ICRA 2020 - Paris, France
Duration: 2020.05.312020.08.31

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

Conference2020 IEEE International Conference on Robotics and Automation, ICRA 2020
Country/TerritoryFrance
CityParis
Period20.05.3120.08.31

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Engineering - Electrical & Electronic
  • Engineering - Petroleum
  • Data Science

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