DOI QR코드

DOI QR Code

Least Squares Velocity Estimation of a Mobile Robot Using a Regular Polygonal Array of Optical Mice

정다각형 배열의 광 마우스를 이용한 이동 로봇의 최소 자승 속도 추정

  • 김성복 (한국외국어대학교 전자정보공학부) ;
  • 정일화 (한국외국어대학교 전자정보공학부) ;
  • 이상협 (한국외국어대학교 전자정보공학부)
  • Published : 2007.10.01

Abstract

This paper presents the velocity estimation of a mobile robot using a regular polygonal array of optical mice that are installed at the bottom of a mobile robot. First, the basic principle of the proposed velocity estimation method is explained. Second, the velocity kinematics from a mobile robot to an array of optical mice is derived as an overdetermined linear system. Third, for a given set of optical mouse readings, the mobile robot velocity is estimated based on the least squares solution to the obtained system. Finally, simulation results are given to demonstrate the validity of the proposed velocity estimation method.

Keywords

References

  1. K. O'Hara, 'An inexpensive positioning device for educational robotics,' Technical Report, Dept. Computer Science Eng. Rowan University, 2001
  2. D. K. Sorensen, V. Smukala, M. Ovinis, and S. Lee, 'On-line optical flow feedback for mobile robot localization/ navigation,' Proc. IEEE Int. Conference on Intelligent Robots and Systems, pp.1246-1251, 2003
  3. S. Lee and J. Song, 'Mobile robot localization using optical flow sensors,' Int. J Control, Automation, and Systems, vol. 2, no. 4, pp. 485-493, 2004
  4. A. Bonarini, M. Matteucci, and M. Restelli, 'A Kinematic-independent Dead-reckoning sensor for indoor mobile robotics,' Proc. IEEE Int. Conference on Intelligent Robots and Systems, pp. 3750-3755, 2004
  5. A. Bonarini, M. Matteucci, and M. Restelli, 'Automatic error detection and reduction for an odometric sensor based on two optical mice,' Proc. IEEE Int. Conference on Robotics and Automation, pp. 1687-1692, 2005
  6. S. P. N. Singh and K. J. Waldron, 'Design and evaluation of an integrated planar localization method for desktop robotics,' Proc. IEEE Int. Conference on Robotics and Automation, pp. 1109-1114, 2004
  7. S. Kim and H. Kim, 'Robust optical odometry using three optical mice,' J Control, Automation and Systems Eng., vol. 12, no.9, pp. 861-867, 2006 https://doi.org/10.5302/J.ICROS.2006.12.9.861
  8. B. K. P. Horn and B. G. Schunck, 'Determining optical flow,' Artificial Intelligence, vol. 16, no. 1-3, pp. 185-203, 1981
  9. M. Alden, 'Agilent technologies ships 100million optical mouse sensor,' EE Times, Dec. 17, 2002