Putting the 'I' in 'Team': An ego-centric approach to cooperative localization

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 1, Issue , 2003, Pages 868-874

  Howard, Andrew ^a   Matarić, Maja J ^a   Sukhatme, Gaurav S ^a  

^a University of Southern California ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; IMAGE SENSORS; MATHEMATICAL MODELS; MOBILE ROBOTS; MOTION PLANNING; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS;

BAYESIAN FORMALISM; EGO-CENTRIC ESTIMATE; MOTION SENSOR; POSE ESTIMATE;

COMPUTER VISION;

EID: 0344876535     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. M. W. M. G. Dissanayake, P. Newman, S. Clark, H. F. Durrant-Whyte, and M. Csorba. A solution to the simultaneous localization and map building (SLAM) problem. IEEE Transactions on Robotics and Automation, 17(3):229-241, 2001.
2. T. Duckett, S. Marsland, and J. Shapiro. Learning globally consistent maps by relaxation. In Proceedings of the IEEE International Conference on Robotics and Automation, volume 4, pages 3841-3846, San Francisco, U.S.A., 2000.
3. D. Fox, W. Burgard, H. Kruppa, and S. Thrun. A probabilistic approach to collaborative multi-robot localization. Autonomous Robots, Special Issue on Heterogeneous Multi-Robot Systems, 8(3):325-344, 2000.
4. D. Fox, W. Burgard, and S. Thrun. Markov localization for mobile robots in dynamic environments. Journal of Artificial Intelligence Research, 11:391-427, 1999.
5. B. P. Gerkey, R. T. Vaughan, K. Støy, A. Howard, G. S. Sukhatme, and M. J. Matarić. Most valuable player: A robot device server for distributed control. In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS01), pages 1226-1231, Wailea, Hawaii, Oct. 2001.
6. A. Howard. Mezzanine user manual: version 0.00. Technical Report IRIS-01-416, Institute for Robotics and Intelligent Systems Technical Report, University of Southern California, 2002.
7. A. Howard and L. Kitchen. Cooperative localization and mapping. In International Conference on Field and Service Robotics (FSR99), pages 92-97, 1999.
8. R. Kurazume and S. Hirose. An experimental study of a cooperative positioning system. Autonomous Robots, 8(1):43-52, 2000.
9. J.J. Leonard and H.F. Durrant-Whyte. Mobile robot localization by tracking geometric beacons. IEEE Transactions on Robotics and Automation, 7(3):376-382, 1991.
10. F. Lu and E. Milios. Globally consistent range scan alignment for environment mapping. Autonomous Robots, 4:333-349, 1997.
11. I.M. Rekleitis, G. Dudek, and E. Milios. Multi-robot exploration of an unknown environment: efficiently reducing the odometry error. In Proc. of the International Joint Conference on Artificial Intelligence (IJCAI), volume 2, pages 1340-1345, 1997.
12. S. I. Roumeliotis and G. A. Bekey. Collective localization: a distributed Kalman filter approach. In Proceedings of the IEEE International Conference on Robotics and Automation, volume 3, pages 2958-2965, San Francisco, U.S.A., 2000.
13. R. Simmons and S. Koenig. Probabilistic navigation in partially observable environments. In Proceedings of International Joint Conference on Artificial Intelligence, volume 2, pages 1080-1087, 1995.
14. S. Thrun. A probabilistic online mapping algorithm for teams of mobile robots. International Journal of Robotics Research, 20(5):335-363, 2001.
15. S. Thrun, D. Fox, and W. Burgard. A probabilistic approach to concurrent mapping and localisation for mobile robots. Machine Learning, 31(5):29-55, 1998. Joint issue with Autonomous Robots.
16. S. Thrun, D. Fox, W. Burgard, and F. Dellaert. Robust Monte Carlo localization for mobile robots. Artificial Intelligence Journal, 128(1-2):99-141, 2001.
17. B. Yamauchi, A. Shultz, and W. Adams. Mobile robot exploration and map-building with continuous localization. In Proceedings of the 1998 IEEE/RSJ International Conference on Robotics and Automation, volume 4, pages 3175-3720, San Francisco, U.S.A., 1998.