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A computer vision system for Extravehicular Activity Helper/Retriever

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Abstract

The Extravehicular Activity Helper/Retriever (EVAHR) is a free-flying robot currently being developed by the Automation and Robotics Division at the NASA Johnson Space Center to support activities in the neighborhood of Space Station Freedom or planetary habitat. The EVAHR's primary responsibilities are rescue of crew, and retrieval of critical equipment. It will also perform extravehicular activities in cooperation with crew members. The stated responsibilities could never be fulfilled without a robust and versatile real time computer vision system. This paper presents a preliminary design of the EVAHR's vision system and its initial implementation. The preliminary design consists of a vision system planner, and many sub-modules for performing various vision functions. Top-down and bottom-up approaches have been taken for initial implementation of the preliminary design. While the top-down approach focuses on building a control mechanism and laying down a framework for the vision system planner, the bottom-up approach emphasizes the design and implementation of various computation skills such as search, tracking, and pose estimation. Experimental results of the initial implementation are included in the paper.

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References

  1. K.A. Grimm, J.D. Erickson, G. Anderson, C.H. Chien, L. Hewgill, M. Littlefield, and R. Norsworthy. “An experiment in vision-based autonomous grasping within and a reduced gravity environment,” InSPIE Conference on Cooperative Intelligent Robotics in Space III, Boston, MA, pp. 444–457, November 1992.

  2. L. Hewgill, “Motion estimation of a freely rotating body in earth orbit,” inSPIE Conference on Cooperative Intelligent Robotics in Space III, Boston, MA, November 1992.

  3. G. Anderson, “Grasping a rigid object in zero-g,” inSPIE Conference on Cooperative Intelligent Robotics in Space IV, Boston, MA, September 1993.

  4. Michael Magee, Chiun-Hong Chien, and Thomas W. Pendelton, “A vision system planner for the extravehicular activity retriever,” inInternational Conference on Intelligent Autonomous System III, Pittsburgh, PA, February 1993.

  5. M. Littlefield, “Adaptive tracking of objects for a mobile robot using range images,” inSPIE Conference on Cooperative Intelligent Robotics in Space III, Boston, MA, pp. 433–443, November 1992.

  6. C.H. Chien, “Multi-view based pose estimation from range images,” inSPIE Conference on Cooperative Intelligent Robotics in Space III, Boston, MA, pp. 421–432, November 1992.

  7. H.K. Nishihara, “Minimal meaningful measurement tools,” Technical Report TR-91-01, Teleo Research, Palo Alto, CA-94301, 1991.

    Google Scholar 

  8. C.H. Chien and J.K. Aggarwal, “Model construction and shape recognition from occluding contours,”IEEE Trans. on Pattern Analysis and Machine Intelligence, 11(4):372–389, April 1989.

    Google Scholar 

  9. P.G. Gottschalk III.Machine Recognition and Attitude Estimation of Three-Dimensional Objects in Intensity Images, Ph.D. Thesis, The University of Michigan, 1990.

  10. J.L. Bentley, “Multidimensional binary search trees used for associative searching,”Communication ACM, 18(9):509–517, 1975.

    Google Scholar 

  11. Berthold. K.P. Horn, “Closed-form solution of absolute orientation using unit quaternions,”Journal of Optical Society of America A, 4:629–642, April 1987.

    Google Scholar 

  12. O.D. Faugeras and M. Hebert, “The representation, recognition, and locating of 3-d objects,”The International Journal of Robotics Research, 5(3):27–52, 1986.

    Google Scholar 

  13. R. Norsworthy, “Synthetic laser range imagery usingz-buffering,” inProceedings of the 1990 Summer Computer Simulation Conference, Calgary, Alberta, Canada, pp. 643–748, July 16–18 1990.

  14. R. Norsworthy, “Performance measurement of autonomous grasping software in a simulated orbital environment,” inSPIE Conference on Cooperative Intelligent Robotics in Space IV, Boston, MA, September 1993.

  15. C.H. Chien, “Paradigm: An architecture for distributed vision processing,” in10th International Conference on Pattern Recognition, Atlantic City, New Jersey, pp. 648–653, June 16–21, 1990.

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Chien, CH. A computer vision system for Extravehicular Activity Helper/Retriever. Appl Intell 5, 251–268 (1995). https://doi.org/10.1007/BF00872225

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