SELF-LOCALIZATION AND TRACKING OF MULTIPLE ROBOTS IN EXPERIMENTAL SETUPS

Sheng Zhao and Manish Kumar

References

  1. [1] T. Arai, E. Pagello, and L. Parker, Editorial: Advances in multi-robot systems, IEEE Transactions on Robotics and Automation, 18 (5), 2002, 655–661.
  2. [2] L. Bayindir and E. Sahin, A Review of studies in swarm robotics, Turkish Journal of Electrical Engineering, 15 (2), 2007, 115–147.
  3. [3] L. Parker, Distributed intelligence: Overview of the field and its application in multi-robot systems, Journal of Physical Agents, 2 (1), 2008, 5.
  4. [4] J. Borenstein, H.R. Everett, L. Feng, and D. Wehe, Mobile robot positioning: Sensors and techniques, Journal of Robotic Systems, 14 (4), 1997, 231–249.
  5. [5] B. Hofmann-Wellenhof, H. Lichtenegger, and J. Collins, Global positioning system. Theory and practice, 1, Springer, 1993, 347.
  6. [6] M. Betke and L. Gurvits, Mobile robot localization using landmarks, IEEE Transactions on Robotics and Automation, 13 (2), 1997, 251–263.
  7. [7] J. McLurkin, Experiment design for large Multi-Robot systems, Workshop on Good Experimental Methodology in Robotics at RSS 2009, Seattle, WA, 2009.
  8. [8] M. Matari, Interaction and intelligent behavior, Ph.D. Dissertation, Massachusetts Institute of Technology, Cambridge, Massachusetts, 1994.
  9. [9] A. Howard, L. Parker, and G. Sukhatme, Experiments with a large heterogeneous mobile robot team: Exploration, mapping, deployment and detection, The International Journal of Robotics Research, 25 (5–6), 2006, 431.
  10. [10] J. Pugh and A. Martinoli, Relative localization and communication module for small-scale multi-robot systems, Proc. 2006 IEEE Int. Conf. on Robotics and Automation, Orlando, Florida, 2006, 188–193.
  11. [11] T. Lochmatter, P. Roduit, C. Cianci, N. Correll, J. Jacot, and A. Martinoli, Swistrack-a flexible open source tracking software for multi-agent systems, in IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Nice, France, 2008.
  12. [12] M. Fiala, ARTag, a Fiducial Marker System Using Digital Techniques, Proc. 2005 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR’05), vol. 02, IEEE Computer Society, San Diego, CA, 2005, 596.
  13. [13] N. Michael, J. Fink, and V. Kumar, Experimental testbed for large multirobot teams, IEEE Robotics and Automation Magazine, 15 (1), 2008, 53–61.
  14. [14] J. McLurkin, Analysis and implementation of distributed algorithms for multi-robot systems, Ph.D. Dissertation, Massachusetts Institute of Technology, Cambridge, Massachusetts, 2008.
  15. [15] G.K. Fricke and D.P. Garg, Discrimination and tracking of individual agents in a swarm of robots, Proc. American Control Conf., Baltimore, Maryland, 2010, 2742–2747.
  16. [16] G. Pulford, Taxonomy of multiple target tracking methods, IEEE Proceedings – Radar, Sonar and Navigation, 152 (5), 2005, 291.
  17. [17] G. Welch and G. Bishop, An introduction to the Kalman filter, University of North Carolina at Chapel Hill, Chapel Hill, NC, Technical Report, 1995.
  18. [18] Y. Bar-Shalom and T. Fortmann, Tracking and data association, (Boston, MA: Academic Press, 1988).
  19. [19] B. Gerkey, R. Vaughan, and A. Howard, The player/stage project: Tools for multi-robot and distributed sensor systems, Proc. 11th Int. Conf. on Advanced Robotics, Citeseer, 2003, 317–323.
  20. [20] M. Pac, A. Erkmen, and I. Erkmen, Control of robotic swarm behaviors based on smoothed particle hydrodynamics, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 2007. IROS 2007, San Diego, California, 2007, 4194–4200.

Important Links:

Go Back