Robot Soccer using Optical Analog VLSI Sensors

V. Bečanović, R. Hosseiny, and G. Indiveri

References

  1. [1] http://www.robocup.org/.
  2. [2] http://www.1394ta.org/.
  3. [3] J. Bruce, T. Balch, & M. Veloso, Fast and inexpensive colorimage segmentation for interactive robots, Proc. IEEE/RSJInt. Conf. on Intelligent Robots and Systems (IROS), Vol. 3,2000, 2061–2066. doi:10.1109/IROS.2000.895274
  4. [4] http://www.infineon.com/.
  5. [5] S. Kubina, Konzeption, Entwicklung und Realisierung: Micro-Controller basierter Schnittstellen für mobile Roboter, diplomathesis, GMD Schloss Birlinghoven, 2001 (in German).
  6. [6] G. Indiveri, Neuromorphic analog VLSI sensor for visual tracking: Circuits and application examples, IEEE Trans. on Circuits and Systems II, Analog and Digital Signal Processing, 46(11) 1337–1347, 1999. doi:10.1109/82.803473
  7. [7] J. Kramer, R. Sarpeshkar, & C. Koch, Pulse-based analogVLSI velocity sensors, IEEE Trans. on Circuits and SystemsII, Analog and Digital Signal Processing, 44(2), 1997, 86–101. doi:10.1109/82.554431
  8. [8] A. Stocker & R.J. Douglas, Computation of smooth optical flowin a feedback connected analog network, in M.S. Kearns, S.A.Solla, & D.A. Cohn (Eds.), Advances in neural informationprocessing systems, Vol. 11 (Cambridge, MA: MIT Press, 1999).
  9. [9] R. Hosseiny, Fusion of neuromorphic vision sensors for a mobilerobot, master’s thesis, RWTH Aachen, 2003 (in German).
  10. [10] A. Bredenfeld & G. Indiveri, Robot behavior engineering usingDD-Designer, Proc. IEEE/RAS Int. Conf. on Robotics andAutomation (ICRA), Seoul, Korea, May 21–26, 2001.
  11. [11] A. Bredenfeld & H.-U. Kobialka, Team cooperation using dualdynamics, in Balancing reactivity and social deliberation inmulti-agent systems (Hannebauer, Markus, 2001), 111–124. doi:10.1109/ROBOT.2001.932554
  12. [12] L. Ljung, System identification: Theory for the user (Englewood Cliffs, NJ: Prentice Hall, 1999).
  13. [13] R. Brooks, A robust layered control system for a mobile robot,IEEE Journal of Robotics and Automation, RA-2(1), 1986,14–23.
  14. [14] M.A. Lewis, Perception driven robot locomotion, Journal ofthe Robot Society of Japan, 20(3), 2002, 51–56.
  15. [15] R. Mudra, R. Hahnloser, & R.J. Douglas, Neuromorphic activevision used in simple navigation behavior for a robot, Proc. 7thInt. Conf. on Microelectronics for Neural Networks, Grenada,Spain, April 7–9, 1999, 32–36.
  16. [16] V. Bečanovíc, A. Bredenfeld, & P.G. Plöger, Reactive robotcontrol using silicon retina sensors, Proc. IEEE Int. Conf. onRobotics and Automation (ICRA), Washington DC, USA, May2002, 1223–1228. doi:10.1109/ROBOT.2002.1014710
  17. [17] V. Bečanovíc, G. Indiveri, H.-U. Kobialka, P.G. Plöger, &A. Stocker, Silicon retina sensing guided by omni-directionalvision, Proc. 9th IEEE Conf. on Mechatronics and MachineVision in Practice (M2VIP), Chiang Mai, Thailand, September10–12, 2002, 112–118.
  18. [18] G. Indiveri, Neuromorphic VLSI device for implementing 2-Dselective attention systems, IEEE Trans. on Neural Networks,12(6), 2001, 1455–1463. doi:10.1109/72.963780
  19. [19] J. Hertzberg, H. Jäger, & F. Schönherr, Learning to groundfact symbols in behavior-based robots, in F. van Harmelen(Ed.), Proc. 15th European Conf. on Artificial Intelligence(Amsterdam: IOS Press, 2002).
  20. [20] H. Jäger, Adaptive nonlinear system identification with echo state networks, Vancouver, B.C., Canada, December 14-16, 2002, Online NIPS database version.

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