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Optimal Trajectory Planning for Capturing a Mobile Object

이동물체 포획을 위한 최적 경로 계획

  • Published : 2004.08.01

Abstract

An optimal trajectory generation algorithm for capturing a moving object by a mobile robot in real-time is proposed in this paper. The linear and rotational velocities of the moving object are estimated using the Kalman filter, as a state estimator. For the estimation, the moving object is tracked by a 2-DOF active camera mounted on the mobile robot, which enables a mobile manipulator to track the mobile robot until the capturing moment. The optimal trajectory for capturing the moving object is dependent on the initial conditions of the mobile robot as well as the moving object. Therefore, real-time trajectory planning for the mobile robot is definitely required for the successful capturing of the moving object. The performance of proposed algorithm is verified through the real experiments and the superiority is demonstrated by comparing to other algorithms.

Keywords

References

  1. E. T. Baumgartner and S. B. Skaar, 'An Autonomous Vision-Basd Mobile Robot,' IEEE Trans. on Automatic Control, vol. 39, no. 3, pp. 493-502, 1994 https://doi.org/10.1109/9.280748
  2. B. H. Kim, D. K. Roh, J. M. Lee, M. H. Lee, K. Son, M. C. Lee, J. W. Choi, and S. H. Han, 'Localization of a Mobile Robot using Image of a Moving Target,' Proceedings of the 2001 IEEE International Conference on Robotics & Automation, pp. 253-258, 2001 https://doi.org/10.1109/ROBOT.2001.932562
  3. M. W. Spong, M. Vidyasagar, Robot Dynamics and Control, John Wiley & Sons, Inc. 1989
  4. Y. Zhao and S. L. Bement, 'Kinematics, Dynamics and Control of Wheeled Mobile Robots,' IEEE Conf. Robotics and Automation, pp. 91-96, 1992 https://doi.org/10.1109/ROBOT.1992.220329
  5. D. J. Kreigman, E. Triendl and T. O. Binford, 'Stereo vision and navigation in building for mobile robots,' IEEE Trans. on Robotics and Automation, Vol. Ra-2, pp. 14-23, 1986 https://doi.org/10.1109/70.88100
  6. J. W. Park, J. H. Park, K. S. Yun, and J. M. Lee, 'Tracking and Capturing a Moving Object using Active Camera Mounted on a Mobile Robot,' Journal of Control, Automation and System Engineering, vol. 7, no. 9, pp. 741-748, 2001
  7. M. S. Grewal and A. P. Andrews, Kalman Filtering Theory and Practice Using MATLAB, Wiley Interscience, 2001
  8. H. W. Sorenson, 'Kalman Filtering techniques,' Advances in Control Systems Theory and Applications, vol. 3, pp. 219-292, 1966
  9. W. Wu, H. Chen, and P. Y. Woo, 'Optimal Motion Planning for a Wheeled Mobile Robot,' Proceedings of the 1999 IEEE International Conference on Robotics & Automation, vol. 1, pp. 41-46, 1999 https://doi.org/10.1109/ROBOT.1999.769928
  10. Y. Kanayama and B. I. Hartman, 'Smooth Local Path Planning for Autonomous Vehicle,' Proceedings of the 1989 IEEE International Conference on Robotics & Automation, vol. 3, pp. 1265-1270, 1989 https://doi.org/10.1109/ROBOT.1989.100154

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