Abstract
The conceptual structure of a robot vision system is shown in Figure 9.1. The object under consideration, together with the world around it, is scanned by the input unit of the vision system, and possibly examined by other types of sensors, and the outputs from these actions are passed to processors.(1) The principal task of the processors is to extract the information that is important from the usually much greater information that is redundant. The extracted information passes to the main control unit which holds a model of the world appropriate to the whole robotic system and has the program to execute the required process. It converts the information into the form required by the controller of the robot and of other mechanical systems. The main controller is aided in its task by a priori knowledge of the world, of the parameters of the sensing and actuating systems, and of the objects on which the system is to operate.
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References
J.A.G. Knight, Sensors for robots: The state of the art, Proc. 2nd European Conf. on Automated Manufacturing, 127-132, Birmingham (May 1983).
P.J. Gregory and CJ. Taylor, Knowledge-based models for computer vision, Proc. 4th Intl. Conf. on Robot Vision and Sensory Controls, 325-330, London (Oct. 1984).
J. Foster, P.M. Hage, and J. Hewit, Development of an expert vision system for automatic industrial inspection, Proc. 4th Intl. Conf. on Robot Vision and Sensory Controls, 303-311, London (Oct. 1984).
D. Nitzan, Use of sensors in robot systems, Proc. Intl. Conf. on Advanced Robotics, Japan Industrial Robot Association, 123-132, Tokyo (1983).
P. Sholl and C. Loughlin, A practical solution to real-time path-control of a robot, Proc 4th Intl. Conf. on Robot Vision and Sensory Controls, 209-221, London (Oct. 1984).
J. Amat, A. Casals, and V. Llario, Location of work-pieces and guidance of industrial robots with a vision system, Proc. 4th Intl. Conf. on Robot Vision and Sensory Controls, 223-230, London (Oct. 1984).
E. Freund and H. Hoyer, A fast control method for collision avoidance of industrial robots, Proc. Intl. Symp. on Automotive Technology and Automation, 1787-1803, Milan (Sept. 1984).
H.B. Kuntze and W. Schill, Methods for collision avoidance in computer controlled industrial robots, Proc. 12th Intl. Symp. on Industrial Robots and 6th Intl. Conf. on Industrial Robot Technology, 519-530, Paris (June 1982).
U.L. Haass, H. B. Kuntze, and W. Schill, A surveillance system for obstacle recognition and collision avoidance control in robot environment, Proc. 2nd Intl. Conf. on Robot Vision and Sensory Controls, 357-366, Stuttgart (Nov. 1982).
S. Ganapathy, Decomposition of transformation matrices for robot vision, Intl. Conf. on Robotics, IEEE Computing Soc. Press, 130-139, Atlanta (Mar. 1984).
W. Patzelt, A robot position control algorithm for the grip onto an accelerated conveyor belt, Proc. 12th Intl. Symp. on Industrial Robots and 6th Intl. Conf on Industrial Robot Technology, 391-399, Paris (June 1982).
S.W. Holland, L. Rossol, and M.R. Ward, Consight-L A vision controlled robot system for transferring parts from belt-conveyors, in: Computer Vision and Sensorbased Robots, G.G. Dodd and L. Rossol (eds.), 81–100, Plenum Press, New York (1979).
A. Browne, The orientation of components for automatic assembly, Assembly Automation 1(1), 30–35 (Nov. 1980).
D. Andree and A. Wernersson, Linear vision for finding the orientation of parts: learning procedures, Proc. 2nd Intl. Conf. on Robot Vision and Sensory Controls, 147-158, Stuttgart (Nov. 1982).
P. Horaud and R.C. Bolles, 3DPO’s Strategy for matching three-dimensional objects in range data, Intl. Conf on Robotics, IEEE Computing Soc. Press, 78-85, Atlanta (Mar. 1984).
R.N. Stauffer, Update on non-contact seam tracking systems, Robotics Today, 5(4), 29–34 (Aug. 1983).
M.P. Howarth and M.F. Guyote, Eddy current and ultrasonic sensors for robot arc welding, Sensor Review, 3(2), 90–93 (April 1983).
J.F. Justice, Sensors for robotic arc welding, Proc. Automation and Robotics for Welding, American Welding Society, 203-209, Miami (1983).
E.L. Estochen, C.P. Neuman, and F.B. Prinz, Application of acoustic sensors to robotic seam tracking, IEEE Trans. Industrial Electronics IE-31(5), 219–224 (Aug. 1984).
S. Presern, M. Spegal, and I. Ozimek, Tactile sensing system with sensory feedback control for industrial arc welding robots, Proc. 1st Intl. Conf. on Robot Vision and Sensory Controls, 205-213, Stratford-upon-Avon (April 1981).
J.G. Bollinger, Using a tactile sensor to guide a robot welding machine, Sensor Review 1(3), 136–141 (July 1981).
D. LaCoe and L. Seibert, 3D vision guided welding robot system, The Industrial Robot 11, 18–20 (March 1984).
H. Toda and I. Masaki, Kawasaki vision system—model 79A, Proc. 10th Intl. Symp. on Industrial Robots and 5th Intl. Conf. on Industrial Robot Technology, 163-174, Milan (March 1980).
Z. Smati, D. Yapp, and C.J. Smith, Laser guidance system for robots, Proc. 4th Intl. Conf. on Robot Vision and Sensory Controls, 91-101, London (Oct. 1984).
J.E. Agapakis, K. Masubuchi, and N. Wittles, General visual sensing techinques for automated welding fabrication, Proc. 4th Intl. Conf. on Robot Vision and Sensory Controls, 103-114, London (Oct. 1984).
W.F. Clocksin, P.G. Davey, C.G. Morgan and A.R. Vidler, Progress in visual feedback for robot arc-welding of thin sheet steel, Proc. 2nd Intl. Conf. on Robot Vision and Sensory Controls, 189-200, Stuttgart (Nov. 1982).
W.J.P.A. Verbeck, Arc welding process control by preview sensor, The Industrial Robot 11, 86–88 (June 1984).
A. de Keijzer and R.J. de Groot, Laser-based arc welding sensor monitors weld preparation profile, Sensor Review 4(1), 8–10 (Jan. 1984).
Anon., Leading the way on robot weld guidance, The Industrial Robot 10, 104-107 (June 1983).
Z. Smati, C.J. Smith, and D. Yapp, An industrial robot using sensory feedback for an automatic multipass welding system, Proc. 6th British Robot Association Annual Conf, 91-100, Birmingham (May 1983).
N.R. Corby, Machine vision algorithms for vision guided robotic welding, Proc 4th Intl. Conf on Robot Vision and Sensory Controls, 137-147, London (Oct. 1984).
R. Niepold and F. Bruemmer, Optical sensory system controls arc welding process, Proc. 2nd Intl. Conf on Robot Vision and Sensory Controls, 201-212, Stuttgart (Nov. 1982).
P.M. Taylor, K.K.W. Selke, and G.E. Taylor, Closed loop control of an industrial robot using visual feedback from a sensory gripper, Proc. 12th Intl. Symp on Industrial Robots and 6th Intl. Conf on Industrial Robot Technology, 79-86, Paris (June 1982).
G.R. Archer, Vision in programmable assembly systems—results, Proc 5th Intl. Conf on Assembly Automation, 65-74, Paris (May 1984).
A. Osorio, K. Ben Rhouma, L. Henninger, A. Meller, L. Peralta, J. Rivaillier, and D. Teil, Workpiece identification, grasping and manipulation in robotics, Proc 5th Intl. Conf on Assembly Automation, 143-151, Paris (May 1984).
G. Schupp, Automated passenger car wheel mounting system, Proc. 5th Intl. Conf on Assembly Automation, 111-116, Paris (May 1984).
H. Worn and H.R. Tradt, Automatic assembly with industrial robots, Proc. 3th Intl. Conf on Assembly Automation, 525-545, Boeblingen (May 1982).
M. Uno, A Miyakawa, and T. Ohashi, Multiple parts assembly robot station with visual sensor, Proc. 5th Intl. Conf on Assembly Automation, 55-64, Paris (May 1984).
J.W. Hill, Programmable bowl feeder design based on computer vision, Assembly Automation 1(1), 21–25 (Nov. 1980).
R.J. Dewhurst and K.G. Swift, A laser electro-optic device for the orientation of mass-produced components, Optics and Laser Eng. (GB), 4(4), 203–215 (1983).
Anon., Robot assembly component supply, Assembly Automation, 3(3), 130 (Aug 1983).
A.J. Cronshaw, W.B. Heginbotham, and A. Pugh, A practical vision system for use with bowl feeders, Proc. 1st Intl. Conf. Assembly Automation, 265-274, Brighton (Mar. 1980).
O. Ledoux and M. Bogaert, Pragmatic approach to the bin picking problem, Proc. 4th Intl. Conf. on Robot Vision and Sensory Controls, 313-323, London (Oct. 1984).
R. Kelley, J. Birk, J. Dessimoz, H. Martins, and R. Telia, Acquiring connecting rod castings using a robot with vision and sensors, Proc. 1st Intl. Conf. on Robot Vision and Sensory Controls, 169-178, Stratford-upon-Avon (April 1981).
R. Ray and J. Wilder, Visual and tactile sensing for robotic acquisition of jumbled parts, Optical Engineering 23(5), 523–530 (Sept.-Oct. 1984).
G.J. Page, Vision driven stack picking in an FMS cell, Proc. 4th Intl. Conf. on Robot Vision and Sensory Controls, 1-12, London (Oct. 1984).
J-P. Hermann, Pattern recognition in the factory: An example, Proc. 12th Intl. Symp. on Industrial robots and 6th Intl. Conf on Industrial Robot Technology, 271-280, Paris (June 1982).
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Browne, A., Norton-Wayne, L. (1986). Robot Vision Systems and Applications. In: Vision and Information Processing for Automation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-2028-7_9
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DOI: https://doi.org/10.1007/978-1-4899-2028-7_9
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