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Coordinate Estimation of Mobile Robot Using Optical Mouse Sensors

광 마우스 센서를 이용한 이동로봇 좌표추정

  • Park, Sang-Hyung (Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Yi, Soo-Yeong (Dept. of Electrical and Information Engineering, Seoul National University of Science and Technology)
  • 박상형 (서울과학기술대학교 전기정보공학과) ;
  • 이수영 (서울과학기술대학교 전기정보공학과)
  • Received : 2016.02.12
  • Accepted : 2016.08.16
  • Published : 2016.09.01

Abstract

Coordinate estimation is an essential function for autonomous navigation of a mobile robot. The optical mouse sensor is convenient and cost-effective for the coordinate estimation problem. It is possible to overcome the position estimation error caused by the slip and the model mismatch of robot's motion equation using the optical mouse sensor. One of the simple methods for the position estimation using the optical mouse sensor is integration of the velocity data from the sensor with time. However, the unavoidable noise in the sensor data may deteriorate the position estimation in case of the simple integration method. In general, a mobile robot has ready-to-use motion information from the encoder sensors of driving motors. By combining the velocity data from the optical mouse sensor and the motion information of a mobile robot, it is possible to improve the coordinate estimation performance. In this paper, a coordinate estimation algorithm for an autonomous mobile robot is presented based on the well-known Kalman filter that is useful to combine the different types of sensors. Computer simulation results show the performance of the proposed localization algorithm for several types of trajectories in comparison with the simple integration method.

Keywords

References

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