The feature cmac: a neural-network-based vision system for robotic control

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 4, Issue , 1998, Pages 2959-2964

  Carusone, J ^a   D'eleuterio, G M T ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CCD CAMERAS; COMPUTER VISION; MANIPULATORS; NEURAL NETWORKS; ROBOTICS; CAMERAS; CHARGE COUPLED DEVICES; DIGITAL ARITHMETIC; ELECTRIC NETWORK TOPOLOGY; IMAGE ANALYSIS; MATHEMATICAL MODELS; MOTION CONTROL; OBJECT RECOGNITION; POSITION CONTROL;

CAMERA PARAMETER; CONNECTION WEIGHTS; INDUSTRIAL ROBOTICS; MOTION CONTROLLER; NETWORK TOPOLOGY; ROBOTIC MANIPULATORS; SELF-ORGANIZING NEURAL NETWORK; TRAINING PROCEDURES;

VISUAL SERVOING; COMPUTER VISION;

CEREBELLAR MODEL ARITHMETIC COMPUTER (CMAC) NETWORKS;

EID: 0031642979     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.1998.680745     Document Type: Conference Paper

References (14)

1. H. Kobayashi, K. Uchida & Matsuzaki, "Robot Vision System with Self-Learning Mechanism", J. Artificial Neural Networks, Vol. 2, No. 1-2, 1995, pp. 137-144.
2. T. Hogg, D. Rees & H. Talhami, "Three-Dimensional Pose from Two-Dimensional Images: A Novel Approach Using Synergetic Networks", Proc. IEEE I. Conf. on Neural Networks, Perth, Australia, Nov. 27-Dec. 1, 1995, pp. 1140-44.
3. H. Murase & S.K. Nayar, "Visual Learning and Recognition of 3-D Objects from Appearance", Int. J. of Computer Vision, Vol 14, No. 1, 1995, pp. 5-24.
4. Y. Hatakeyama & Y. Kakazu, "Detecting a Target Object Using an Expanded Neocognitron", Mathematical and Computer Modelling, Vol. 21, No. 1-2, 1995, pp. 173-183.
5. K. Fukushima, "A Neural Network for Visual Pattern Recognition", IEEE Computer, Vol. 21, No. 3, 1988, pp. 65-75.
6. T. Yagi, N. Asano, K. Gouhara, Y. Uchikawa, "Ail Active Vision System for a Location Task Using an Inhomoge- neously Blurred Image", Proc. IEEE Int. Conf. on Neural Networks, Orlando, FL, June 27-29, 1994, pp. 4333-4336.
7. HJ. Sommer III & R. Krishan, "Three-Dimensional Monocular Pose Measurement Using Computational Neural Networks", SPIE: Intelligent Robots and Computer Vision X, Vol. 1608, 1991, pp.472-479.
8. W.T. Miller III, "Real-Time Application of Neural Networks for Sensor-Based Control of Robots with Vision", IEEE Trans. Systems, Man and Cybernetics, Vol. 19, No. 4, 1989, pp. 825-831.
9. M.W. Oram & D.I. Perrett, "Modeling Visual Recognition From Neurobiological Constraints", Neural Networks, Vol. 7, No. 6/7, 1994, pp. 945-972.
10. G. Blasdel, "Orientation Selectivity, Preference, and Continuity in Monkey Striate Cortex", Journal of Neuroscience, Vol. 12, No. 8, 1992, pp. 3139-3161.
11. K. Tanaka, H. Saito, Y. Fukada & M. Moriya, "Coding Visual Images of Objects in the Inferotemporal Cortex of the Macaque Monkey", Journal of Neurophysiology, Vol. 66, No. 1, 1991, pp. 170-189.
12. P.F. McGuire & G.M.T. D'Eleuterio, "A Biologically Based Neural-Network Architecture for Visual Recognition", Proc. 2nd Int. Workshop on Mechantronical Computer Systems for Perception and Action, Pisa, Italy, Feb. 10-12, 1997, pp. 199-206.
13. J.S. Albus, "Brains, Behavior and Robotics", BYTE Publications Inc., 1981.
14. P.C.E. An, W.T. Miller & P.C. Parks, "Design Improvements in Associative Memories for Cerebellar Model Articulation Controllers", Proc. Int. Conf. on Artificial Neural Networks, Espoo, Finland, June 24-28, 1991, pp. 1207-10.