Analog VLSI for robot path planning

1. Ronald C. Arkin, “Towards cosmopolitan robots: Intelligent navigation in extended man-made environments,” Technical Report 87-80, COINS Department, University of Massachusetts, 1987.

2. Jérôme Barraquand, Bruno Langlois, and Jean-Claude Latombe, “Robot motion planning with many degrees of freedom and dynamic constraints,”Proc. Fifth Int. Symp. Robotics Research, 1989.

3. John F. Canny and Ming C. Lin, “An opportunistic global path planner,”Proc. 1990 IEEE Int. Conf. Robotics and Automation, pp. 1554–1559, 1990.

4. Oussama Khatib, “Real-time obstacle avoidance for manipulators and mobile robots,”Proc. 1985 IEEE Int. Conf. Robotics and Automation, pp. 500–505, 1985.

5. Daniel E. Koditschek, “Exact robot navigation by means of potential functions: Some topological considerations,”Proc. 1987 IEEE Int. Conf. Robotics and Automation, pp. 1–6, 1987.

6. Bruce H. Krogh, “A generalized potential field approach to obstacle avoidance control,” inRobotics Research: The Next Five Years and Beyond, Society of Manufacturing Engineers, 1984.

7. C.I. Connolly, J.B. Burns, and R. Weiss, “Path planning using Laplace's equation,”Proc. 1990 IEEE Int. Conf. Robotics and Automation, pp. 2102–2106, 1990.

8. C.I. Connolly, “Applications of harmonic functions to robotics,”Proc. 1992 IEEE Int. Symp. Intelligent Control, 1992.

9. D.L. Slotnick, W.C. Borck, and R.C. McReynolds, “The SOLOMON computer,”AFIPS 1962 Fall Joint Computer Conf., Spartan Books, pp. 97–107, 1962.

10. H.S. Stone,High-Performance Computer Architecture, Addison-Wesley: Reading, MA, 1987.

    Google Scholar 

11. T. Lozano-Pérez, “Automatic planning of manipulator transfer movements,”IEEE Trans. Systems, Man, Cybernet., Vol. SMC-11, pp. 681–698, 1981.

    Article  Google Scholar 

12. G.D. McCann and C.H. Wilts, “Application of electric-analog computers to heat-transfer and fluid-flow problems,”J. Appl. Mech., Vol. 16, pp. 247–258, 1949.

    MathSciNet  MATH  Google Scholar 

13. J.J. Hopfield, “Neural networks and physical systems with emergent collective computational abilities,”Proc. Nat. Acad. Sci., 1982.

14. B.K.P. Horn and B.G. Schunck, “Determining optical flow,”Artificial Intelligence, 1981.

15. J. Hutchinson, C. Koch, J. Luo, and C. Mead, “Computing motion using analog and binary resistive networks,”IEEE Computer, pp. 52–63, March 1988.

16. C. Mead,Analog VLSI and Neural Systems, Addison-Wesley: Reading, MA, 1989.

    Book  MATH  Google Scholar 

17. C. Mead and M. Ismail, eds.,Analog VLSI Implementation of Neural Systems, Kluwer: Boston, 1989.

    Google Scholar 

18. C.I. Connolly, “On the applications of harmonic functions to robotics,” Technical Report, Laboratory for Perceptual Robotics, COINS Department, University of Massachusetts at Amherst, 1991.

    Google Scholar 

19. L. Tarassenko and A. Blake, “Analogue computation of collision-free paths,”Proc. 1991 IEEE Int. Conf. Robotics and Automation, Sacramento, CA, pp. 540–545, 1991.

20. N. Weste and K. Eshragian,Principles of CMOS VLSI Design—A Systems Perspective, Addison-Wesley: Reading, MA, 1985.

    Google Scholar 

21. J.P. Lazzaro, S. Ryckebusch, M.A. Mahowald, and C.A. Mead, “Winner-take-all networks ofO(N) complexity,” Caltech Computer Science Department Technical Report, Caltech-CS-TR-21-88, 1989.

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