Obstacle-surmounting capability analysis of a joint double-tracked robot

Chengguo Zong, Shigong Jiang, Wenzeng Guo, Ling Li, Xueshan Gao

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

8 Citations (Scopus)

Abstract

This paper presents a robot with double tracks, composed of two segments connected with a joint in mechanical structure. As the angle between the two segments of the robot platform can be changed, the robot can work like a four-tracked robot for moving on many terrains. Change rule of the centroid position in obstacle-surmounting process is analyzed. Moving posture during step climbing are discussed, this is a typical case and is useful for designing the robot platform. The theoretical value of maximal obstacle-surmounting capability of the robot platform is obtained and compares with the test result. The effect of centroid position on obstacle-surmounting capability is obtained, which provides theoretical basis for centroid position control in obstacle-surmounting process. As a whole, reasonable mechanical structure and the good obstacle-surmounting capability of the joint double-tracked robot are tested by experiments.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
PublisherIEEE Computer Society
Pages723-728
Number of pages6
ISBN (Print)9781479939787
DOIs
Publication statusPublished - 2014
Event11th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014 - Tianjin, China
Duration: 3 Aug 20146 Aug 2014

Publication series

Name2014 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014

Conference

Conference11th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2014
Country/TerritoryChina
CityTianjin
Period3/08/146/08/14

Keywords

  • Centroid position
  • Double-tracked robot
  • Mechanical structure
  • Obstacle-surmounting capability

Fingerprint

Dive into the research topics of 'Obstacle-surmounting capability analysis of a joint double-tracked robot'. Together they form a unique fingerprint.

Cite this