Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (9): 7-11.doi: 10.3969/j.issn.1000-565X.2014.09.002

• Mechanical Engineering • Previous Articles     Next Articles

Calibration Method of Systematic Odometry Errors of Mobile Robot

Zhang Tie1 Chen Wei- hua1,2 Zou Yan- biao1 Ma Qiong- xiong1   

  1. 1.School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China;2.Engineering Institute,Guangzhou College of South China University of Technology,Guangzhou 510800,Guangdong,China
  • Received:2014-04-10 Revised:2014-05-24 Online:2014-09-25 Published:2014-08-01
  • Contact: 陈伟华(1985-),女,博士,讲师,主要从事机器人技术研究. E-mail:adahuachen@foxmail.com
  • About author:张铁(1968-),男,博士,教授,博士生导师,主要从事机器人技术研究. E- mail:merobot@scut.edu.cn
  • Supported by:

    广东省 - 教育部产学研结合项目(2012B090600028);广东省科技计划项目(2011A091101001, 2012B010900076);广州市科技计划项目(2014Y2-00014)

Abstract:

In order to improve the localization accuracy and to reduce the systematic errors,a calibration method ofsystematic odometry errors is proposed for the mobile robot with a low accuracy of motion control model,and anexperiment is designed to correct the system parameters,namely,the left and right wheel diameters and the wheel-base.This calibration method takes into account the position and orientation errors caused by three main systematicerror sources,namely,the inequality between left and right wheel diameters,the uncertainty of wheelbases and thedifference between the average actual wheel diameter and the nominal wheel diameter.This calibration method alsoconsiders the influences of the systematic errors on the linear motion and the rotation motion of the mobile robot,and uses the experimental data of linear motion and rotation motion to correct the systematic parameters.Experi-mental results demonstrate that the corrected diameters are closer to their actual values with smaller systematicerrors and higher localization accuracy,and the experiment is simple and easy to handle.

Key words: mobile robot, odometry, systematic error, localization

CLC Number: