Abstract
Bin picking by a robot in real time requires the performance of a series of tasks that are beyond the capabilities of commercially available state-of-the-art robotic systems. In this paper, a laser-ranging sensor for real-time robot control is described. This sensor is incorporated into a robot system that has been applied to the bin-picking or random-parts problem. This system contains new technological components that have been developed recently at the Environmental Research Institute of Michigan (ERIM). These components (the 3-D imaging scanner and a recirculating cellular-array pipeline processor) make generalized real-time robot vision a practical and viable technology. This paper describes these components and their implementation in a typical real-time robot vision system application.
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References
Altschuler MD, Posdamer JL, Frieder G, Altschuler BR, Taboada J (1981) The numerical stereo camera. Proceedings of the SPIE Conference on 3-D Machine Perception (283): 15–24
Barnard ST, Fischler MA (1982) Computational stereo. ACM Computing Survey 14 (4): 553–572
Besl PJ, Jain RC (1985) Three-dimensional object recognition. Computing Surveys 1 (17): 75–145
Boissonnat JP, Germain F (1981) A new approach to the problem of acquiring randomly oriented workpieces out of a bin. Seventh International Joint Conference on Artificial Intelligence 2: 796–802
Coleman EN Jr, Sampson RE (1985) Acquisition of randomly oriented workpieces through structure mating. Proceedings of the IEEE on Computer Vision and Pattern Recognition: 350–357
Crimmins T, Brown W (1985) Image algebra and automatic shape recognition. IEEE Transactions on Aerospace and Electronic Systems 1 (AES-21): 60–69
Grimson WEL (1980) A computer implementation of a theory of human stereo vision. Massachusetts Institute of Technology Artificial Intelligence Lab Memo 565
Inokuchi S, Sato K, Matsuda F (1984) Range imaging system for 3-D object recognition. Proceedings of the 7th International Conference on Pattern Recognition: 806–808
Lamy F, Liegeois C, Meyrueis P (1982) Three-dimensional automated pattern recognition using the Moire technique. Proceedings of the SPIE Conference on Robotics and Industrial Inspection (360): 345–351
Lougheed RM (1983) A class of localized, non-linear image filters and an architecture for implementation. Proceedings of the IEEE Workshop on Computer Architecture for Pattern Analysis and Image Database Management-CAPAIDM: 62–67
Lougheed RM (1985) A high speed recirculating neighborhood processing architecture. Proceedings of the SPIE Conference on Architectures and Algorithms for Digital Image Processing II (534): 22–23
Lougheed RM, McCubbrey DL (1985) Multi-processor architectures for machine vision and image analysis. Proceedings of the 1984 International Conference on Parallel Processing: 493–497
Lougheed RM, McCubbrey DL, Sternberg SR (1980) Cytocomputers: architectures for parallel image processing. Proceedings of the IEEE Workshop on Picture Data Description and Management: 281–286
Nitzan D, Brian AE, Duda RO (1977) The measurement and use of registered reflectance and range data in scene analysis. Proceedings of the IEEE 2 (65): 206–220
O'Brien N, Jain R (1984) Axial motion stereo. Proceedings of the IEEE Workshop on Computer Vision: Representation and Control: 88–94
Sampson RE, Swonger CW, VanAtta PW (1984) Real-time 3-dimensional image processing for robotic applications. Addendum to Conference Proceedings, Robots 8, Future Considerations (2). Society of Manufacturing Engineers, Dearborn, MI
Serra J (1982) Image analysis and mathematical morphology. Academic Press, Orlando, FL
Sternberg S (1980) Image algebra. ERIM course notes. Environmental Research Institute of Michigan, Ann Arbor, MI
Yakimovsky Y, Cunningham R (1978) A system for extracting three-dimensional measurements from a stereo pair of TV cameras. Computer Graphics and Image Processing 7: 195–210
Zuk DM, Dell'Eva ML (1983) Intelligent task automation. Environmental Research Institute of Michigan, Ann Arbor, MI
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Lougheed, R.M., Sampson, R.E. 3-D imaging systems and high-speed processing for robot control. Machine Vis. Apps. 1, 41–57 (1988). https://doi.org/10.1007/BF01212311
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DOI: https://doi.org/10.1007/BF01212311