Volume 3, No. 1, January 2014

General Information

  • ISSN: 2278-0149 (Online)
  • Abbreviated Title:  Int. J. Mech. Eng. Robot. Res.  
  • Editor-in-Chief: ​Prof Richard (Chunhui) Yang, Western Sydney University, Australia
  • Associate Editor: Prof. B.V. Appa Rao, Andhra University; Prof. Ian McAndrew, Capitol Technology University, USA
  • Managing Editor: Murali Krishna. B
  • DOI: 10.18178/ijmerr
  • Abstracting/Indexing: Scopus (since 2016), CNKI, Google Scholar, Crossref, etc.
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International Journal of Mechanical Engineering and Robotics Research
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Optimization of Relative Positioning in a Two Wheeled Differential Drive Robot

T Mathavaraj Ravikumar1, R Saravanan2, and N Nirmal1
1.Department of Mechanical Engineering, United Institute of Technology, Coimbatore 641020, India
2.JCT College of Engineering and Technology, Coimbatore 641105, India

Abstract—Pose estimation for mobile robots depends basically on accurate odometry information. Odometry from the wheel's encoder is mostly used for simple and inexpensive implementationfor determining the relative position of a mobile robot. This paper deals with the determination of better relative localization of a two wheeled differential drive robot by means of odometry by considering the influence of parameters namely payload, speed, diameter of wheel and thickness of wheel. Experiments have been conducted based on central composite rotatable design matrix. A mathematical model has been developed for the robot using Response Surface Methodology (RSM) with the help of MINITAB software. An optimum relative positioning was obtained by using Genetic Algorithm (GA).

Index Terms—Mobile robot, Odometry, Relative localization, Response surface methodology, Genetic algorithm

Cite: T Mathavaraj Ravikumar, R Saravanan, and N Nirmal, "Optimization of Relative Positioning in a Two Wheeled Differential Drive Robot," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 1, pp. 1-11, January 2014.