Intelligent robotic assembly

Computers and Industrial Engineering

Volumn 38, Issue 4, 2000, Pages 467-478

  Balakrishnan, S ^a   Popplewell, N ^a   Thomlinson, M ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; END EFFECTORS; FACTORY AUTOMATION; MANIPULATORS; MOTION COMPENSATION; NEURAL NETWORKS; ROBOTIC ASSEMBLY;

FEATURE VALUE VECTORS;

COMPUTER INTEGRATED MANUFACTURING;

EID: 0034501478     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0360-8352(00)00058-9     Document Type: Article

References (22)

1. Allen, P. K. (1986). Sensing and describing 3-D structure. Proceedings of the IEEE Conference on Robotics and Automation (pp. 126-131).
2. Asada, H.(1991). Teaching and learning of compliance using neural nets: representation and generation of nonlinear compliance. Proceedings of the IEEE Conference on Robotics and Automation (pp. 1237-1244).
3. Asada, M. (988). Building a 3-D world model for a mobile robot from sensory data. Proceedings of the IEEE Conference on Robotics and Automation (pp. 918-923).
4. Cohen, F. S. & Rimey, R. D. (1988). A maximum likelihood approach to segmenting range data. Proceedings of the IEEE Conference on Robotics and Automation (pp. 1696-1701).
5. Cung, H. M., Cohen, P., & Boulanger, P. (1990). Multiscale edge detection and classification in range images. Proceedings of the IEEE Conference on Robotics and Automation (pp. 2038-2044).
6. Denavit J., Hartenburg R.S. Notation for lower-pair mechanisms based on matrices. Journal of Applied Mechanics. June:1955;215-221.
7. Eric W., Grimsom L., Lozano-Perez T. Model based recognition and localization from sparse range or tactile data. The International Journal of Robotics Research. 3:(3-35):1984.
8. Fan, T. J., Medioni, G., & Nevatia, R. (1988). Matching 3-D objects using surface descriptions. Proceedings of the IEEE Conference on Robotics and Automation (pp. 1400-1406).
9. Foulloy, L. P. & Kelley, R. B. (1984). Improving the precision of a robot. Proceedings of the IEEE Conference on Robotics and Automation (pp. 62-67).
10. Gadsby C., Balakrishnan S., Popplewell N. A Microcomputer-based controller for milling machines. International Journal of Advanced Manufacturing Technology. 4:(168-181):1989.
11. Kugelman, D., Reinhart, G., & Milberg, J. (1994). Autonomous robotic handling applying sensor systems and 3D simulation. IEEE Conference on Robotics and Automation (pp. 196-201).
12. Nashashibi, F. & Devy, M. (1993). 3D Incremental modeling and robot localization in a structured environment using a laser range finder. Proceedings of the IEEE Conference on Robotics and Automation (pp. 20-27).
13. Parvin, B. & Medioni, G. (1992). B-rep from unregistered multiple range images. Proceedings of the IEEE Conference on Robotics and Automation (pp. 1602-1607).
14. Ponce, J. & Brady, M. (1985). Toward a surface primal sketch. Proceedings of the IEEE Conference on Robotics and Automation (pp. 420-431).
15. Richard, T. (1994). A Flexible Robot Control System and its Application to Laser-Based Object Recognition Using Neural Networks. MSc thesis, Department of Industrial Engineering, University of Manitoba.
16. Rumelhart D.E., Hinton G.E., Williams R.J. Explorations in parallel distributed processors. 1987;MIT Press, Cambridge, MA.
17. Shoenwald, J. S., Black, M. S., Martin, J. F., Arnold, G. A., Allison, T. A. (1986). Improved robot trajectory from acoustic range servo control. Proceedings of the IEEE Conference on Robotics and Automation (pp. 709-712).
18. Snyder, W. E. & Bilbro, G. (1985). Segmentation of three dimensional images. Proceedings of the IEEE Conference on Robotics and Automation (pp. 396-403).
19. Sturm, A. J. & Lee, M. L. (1984). A contribution to robot tooltip spatial accuracy identification. Proceedings of the IEEE Conference on Robotics and Automation (pp. 1735-1738).
20. Wang, S., Cromwell, R., Kak, A., Kimura, I., & Osada, M. (1984). Model-based vision for robotic manipulation of twisted tubular parts: using affine transforms and heuristic search. Proceedings of the IEEE Conference on Robotics and Automation (pp. 208-215).
21. Watanabe, S. & Yoneyama, M. (1991). An ultrasonic visual sensor using a neural network and its application for automatic object recognition. Proceedings of the IEEE Conference on Robotics and Automation (pp. 781-784).
22. Wu C.M., Jiang B.C., Shiau Y.R. Controlling a robot's position using neural networks. International Journal of Advanced Manufacturing Technology. 8:(216-226):1993.