Parameter Identification of Robot Hand Tracking Model Using Optimization

최적화 기법을 이용한 로봇핸드 트래킹 모델의 파라미터 추정

  • Published : 2007.05.01


In this paper, we present a position-based robot hand tracking scheme where a pan-tilt camera is controlled such that a robot hand is always shown in the center of an image frame. We calculate the rotation angles of a pan-tilt camera by transforming the coordinate systems. In order to identify the model parameters, we applied two optimization techniques: a nonlinear least square optimizer and a particle swarm optimizer. From the simulation results, it is shown that the considered parameter identification problem is characterized by a highly multimodal landscape; thus, a global optimization technique such as a particle swarm optimization could be a promising tool to identify the model parameters of a robot hand tracking system, whereas the nonlinear least square optimizer often failed to find an optimal solution even when the initial candidate solutions were selected close to the true optimum.


  1. B. S. Park, J. H. Jin, B. S. Ko, J. K. Lee, and J. S. Yoon, 'A bridge transported bilateral force-reflecting servo manipulator for maintenance of nuclear pyroprocessing equipment,' lCCAS, pp. 2226-2230, June 2005
  2. J. K. Lee, H. J. Lee, B. S. Park, and J. S. Yoon, 'Parameter identification for position-based robot hand tracking,' SICE-lCASE Joint Conf., pp. 3063-3067, October 2006
  3. P. I. Corke, Visual Control of Robots: high performance visual servoing, John Wiley& Sons Inc., 1996
  4. E. Marchand, F. Chaumette, and F. Spindler, 'Controlling an uninstrumented manipulator by visual servoing,' Int. Journal of Robotics Research, vol.21, no. 7, pp. 635-641, 2002
  5. H. Hutchinson, G D. Hager,and P. I. Corke,'A tutorial on visual servo control,' IEEE Trans. on Robotics and Automation, vol. 12,no.5,pp.651-670, 1996
  6. A. Goswami, A. Quaid, M. Peshkin, 'Identifying robot parameters using partial pose information,' IEEE Control Systems Magazine, vol. 13,issue5, pp. 6-14,1993
  7. J. Nocedal and S. J. Wright, NwnericalOptimization, Springer, York, 1990
  8. J. J. More, B. S. Garbow, and K. E. Hillstrom, Userguidefor MINPACK-l, Argonne National Laboratory Report ANL-8D-74, 1980
  9. J. Kennedy and R. C. Eberhart, 'Particleswarm optimization,' IEEE Int. Conf. on Neural Networks, pp. 1942-1948, 1995
  10. Y Shi and R. C. Eberhart, 'Empirical study of particle swarm optimization,' IEEE Proc. on Evolutionary Computation, pp. 1942-1950,1999