Locating Moving Entities in Indoor Environments with Teams of Mobile Robots

Proceedings of the International Conference on Autonomous Agents

Volumn 2, Issue , 2003, Pages 233-240

  Rosencrantz, Matthew ^a   Gordon, Geoffrey ^a   Thrun, Sebastian ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Laser tag; Particle Filter; Robot Exploration

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; ARTIFICIAL INTELLIGENCE; DECISION MAKING; LIGHT EMITTING DIODES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY; SENSORS;

INFRA-RED TAGGING DEVICES; MULTI-ROBOT SYSTEMS;

MOBILE ROBOTS;

EID: 1142280953     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/860575.860613     Document Type: Conference Paper

References (35)

1. T. Balch, G. Boone, T. Collins, H. Forbes, D. MacKenzie, and J. C. Santamaria. Io, ganymede and callisto - a multiagent robot janitorial team. AAAI Magazine, 16(1), 1995.
2. Dana H. Ballard, Mary M. Hayhoe, Polly K. Pook, and Rajesh P. N. Rao, Deictic codes for the embodiment of cognition. TR NRL95.1, 1996.
3. Y. Bar-Shalom and T. E. Fortmann. Tracking and Data Association, Academic Press, 1988.
4. W. Burgard, A.B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, and S. Thrun. Experiences with an interactive museum tour-guide robot. Artificial Intelligence, 114(1-2), 1999.
5. W. Burgard, D. Fox, M. Moors, R. Simmons, and S. Thrun. Collaborative multi-robot exploration. Proc. ICRA-00.
6. G. Dissanayake, P. Newman, S. Clark, H.F. Durrant-Whyte, and M. Csorba. A solution to the simultaneous localisation and map building (SLAM) problem. IEEE Transactions of Robotics and Automation, 2001.
7. A. Doucet, J.F.G. de Freitas. and N.J. Gordon, editors. Sequential Monte Carlo Methods In Practice, Springer, 2001.
8. Arnaud Doucet, Nando de Freitas, Kevin Murphy, and Stuart Russell. Rao-Blackwellised particle filtering for dynamic Bayesian networks. Proc. UAI-00
9. D. Fox, W. Burgard, H. Kruppa, and S. Thrun. A probabilistic approach to collaborative multi-robot localization. Autonomous Robots, 8(3), 2000.
10. D. Goldberg and M.J. Matarić. Robust behavior-based control for distributed multi-robot collection tasks. TR IRIS-00-387, USC, 2000.
11. H. H. Gonzalez-Banos and J. C. Latombe. Navigation strategies for exploring indoor environments, International Journal of Robotics Research, 2002.
12. H. Kitano, editor, Proc. RoboCup-97, Springer.
13. S.M. LaValle, H. Gonzalez-Banos, C. Becker, and J.C. Latombe. Motion strategies for maintaining visibility of a moving target. Proc. ICRA-97.
14. J. Liu and R. Chen. Sequential monte carlo methods for dynamic systems. Journal of the American Statistical Association, 93, 1998.
15. J. MacCormick and A. Blake. A probabilistic exclusion principle for tracking multiple objects. Proc. ICCV-99.
16. M.J. Matarić. Issues and approaches in the design of collective autonomous agents. Robotics and Autonomous Systems, 16, 1995.
17. M. Montemerlo, N. Roy, and S. Thrun. Carnegie mellon robot navigation toolkit. Software package, download at www.cs.cmu.edu/̃carmen, 2002.
18. M. Montemerlo, W. Whittaker, and S. Thrun. Conditional particle filters for simultaneous mobile robot localization and people-tracking. Proc. ICRA-02.
19. K. Murphy. Bayesian map learning in dynamic environments. Proc. NIPS-99.
20. E. Nettleton, H. Durrant-Whyle, P. Gibbens, and A. Goktoǧan. Multiple platform localisation and map building. In Sensor Fusion and Decentralised Control in Robotic Styslems III, 4196, 2000.
21. N.J. Nilsson. Principles of Artificial Intelligence. Springer, 1982.
22. I. Nourbakhsh, J. Bobenage, S. Grange, R. Lutz, R. Meyer, and A. Soto. An affective mobile robot with a full-time job. Artificial Intelligence, 114(1 -2), 1999.
23. L. E. Parker. On the design of behavior-based multi-robot teams. Journal of Advanced Robotics, 10(6), 1996.
24. H. Pasula, S. Russell, M. Ostland, and Y. Ritov. Tracking many objects with many sensors. Proc. IJCAI-99.
25. J. Pearl, Probabilistic reasoning in intelligent systems: networks of plausible inference. M. Kaufmann, 1988.
26. D.B. Reid. An algorithm for tracking multiple targets. IEEE Transactions on Aerospace and Electronic Systems, AC-24, 1979.
27. http://robotag.com/
28. Nicholas Roy and Geoffrey Gordon. Exponential family PCA for belief compression in POMDPs. Proc. NIPS-02.
29. R. Sargent, B. Bailey, C. Witty, and A. Wright. Dynamic object capture using fast vision tracking. AI Magazine, 18(1). 1997.
30. D. Schulz, W. Burgard, D. Fox, and A. Cremers. Tracking multiple moving targets with a mobile robot using particles filters and statistical data association. Proc. ICRA-01.
31. R. Simmons, D. Apfelbaum, W. Burgard, M. Fox, D. an Moors, S. Thrun, and H. Younes. Coordination for multi-robot exploration and mapping. Proc. AAAI-00.
32. S. Thrun, M. Beetz, M. Bennewitz, W. Burgard, A.B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, and D. Schulz. Probabilistic algorithms and the interactive museum tour-guide robot Minerva. International Journal of Robotics Research, 19(11), 2000.
33. S. Thrun, D. Fox, W. Burgard, and F. Dellaert. Robust monte carlo localization for mobile robots. Artificial Intelligence, 128(1-2), 2000.
34. B. Yamauchi, P. Langley, A.C. Schultz, J. Grefenstette, and W. Adams. Magellan: An integrated adaptive architecture for mobile robots. TR 98-2, ISLE, 1998.
35. Cao Y.U., Fukunaga A.S., and Kahng A.B. Cooperative mobile robotics: Antecedents and directions. Autonomous Robots, 4, 1997.