DOI QR코드

DOI QR Code

On-line Modeling of Robot Assembly with Uncertainties

불확실한 환경에서의 조립 작업을 위한 온라인 모델링 방법

  • 정성엽 (한국과학기술원 기계공학과) ;
  • 황면중 (한국과학기술원 기계공학과)
  • Published : 2004.10.01

Abstract

Uncertainties are inevitable in robotic assembly in unstructured environment since it is difficult to construct fixtures to guide motions of robots. This paper proposes an augmented Petri net and an algorithm to adapt the assembly model on-line during actual assembly process. The augmented Petri net identifies events using force and position information simultaneously. Unmodeled contact states are identified and incorporated into the model on-line. The proposed method increases the level of intelligence of the robot system by enhancing the autonomy. The proposed method is evaluated by simulation and experiments with L-type peg-in-hole assembly using a two-arm robot system.

Keywords

References

  1. D. N. Trong, M. Betemps, and A. Jutard, 'Analysis of dynamic assembly using passive compliance,' Proceedings of the IEEE International Conference on Robotics and Automation, pp. 1997-2002, 1995 https://doi.org/10.1109/ROBOT.1995.525556
  2. I. W. Kim, D. J. Lim, and K. I. Kim, 'Active peg-in-hole of chamferless parts using force/moment sensor,' Proceedings of the IEEE International Conference on Intelligent Robots and Systems, pp. 948-953, 1999 https://doi.org/10.1109/IROS.1999.812802
  3. B, J. McCarragher, 'Adaptive discrete event control for assembly: theory and industrial implementation,' International Journal of Robotics and Autonomous Systems, vol. 21, pp. 323-339, 1997 https://doi.org/10.1016/S0921-8890(96)00084-X
  4. H. Asada and S. Hirai, 'Towards a symbolic-level force feedback : recognition of assembly process states,' Proceedings of the International Symposium on Robotics Research, pp. 290-295, August, 1989
  5. B. J. McCarragher, 'Task primitives for the discrete event modeling and control of 6-dof assembly tasks,' IEEE Transactions on Robotics and Automation, vol. 12, no. 2, pp. 280-289, 1996 https://doi.org/10.1109/70.488947
  6. M. Skubic and R. A. Volz, 'Identification contact formations from sensory patterns and its applicability to robot programming by demonstrations,' Proceedings of the IEEE Symposium on Intelligent Control, pp. 458-464, November, 1996 https://doi.org/10.1109/IROS.1996.570817
  7. M. Huber, 'A hybrid architecture for hierarchical reinforcement learning,' Proceedings of the IEEE International Conference on Robotics and Automation, pp. 3290-3295, April, 2000 https://doi.org/10.1109/ROBOT.2000.845170
  8. R. S. Desai and R. A. Volz, 'Identification and verification of termination condition in fine motion in presence of sensor errors and geometric uncertainties,' Proceedings of the IEEE International Conference on Robotics and Automation, pp. 800-809, May, 1989 https://doi.org/10.1109/ROBOT.1989.100082
  9. T. Lozano-Perez, J. L. Jones, E. Mazer, and P. A. O'Donell, HANDEY : A Robot Task Planner, MIT Press, USA, pp. 41-56, 1992
  10. J. Xiao and X. Ji, 'Automatic generation of high-level contact state space,' International Journal of Robotics Research, vol. 20, no. 7, pp. 584-606, 2001 https://doi.org/10.1177/02783640122067552
  11. S. Hirai, Analysis and planning of manipulation using the theory of polyhedral convex cones, PhD Dissertation Kyoto University, Kyoto University Press, Japan, pp. 53-56, 1991
  12. P. Astuti and B. J. McCarragher, 'Sufficient conditions for the success of robotic assembly,' Proceedings of the IEEE International Conference on Robotics and Automation, pp. 1693-1699, May, 1994 https://doi.org/10.1109/ROBOT.1994.351348
  13. C. G. Cassandras, Discrete Event Systems: Modeling and Performance Analysis, IRWIN, pp. 89-111, 1993