A decentralized control policy for adaptive information gathering in hazardous environments

Proceedings of the IEEE Conference on Decision and Control

Volumn , Issue , 2012, Pages 2807-2813

  Dames, Philip ^a   Schwager, Mac ^b   Kumar, Vijay ^a   Rus, Daniela ^c  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b Boston University College of Engineering   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; DECENTRALIZED CONTROL; HAZARDS; ROBOTS;

APPROXIMATION METHODS; COMPUTATIONAL RESOURCES; ENVIRONMENTAL HAZARDS; FINITE SET STATISTICS; GRADIENT OF MUTUAL INFORMATION; HAZARDOUS ENVIRONMENT; MULTI-TARGET TRACKING; PROBABILISTIC FRAMEWORK;

TARGET TRACKING;

EID: 84874276150     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2012.6426239     Document Type: Conference Paper

References (16)

1. F. Bourgault, A. A. Makarenko, S. B. Williams, B. Grocholsky, and H. F. Durrant-Whyte. Information based adaptive robotic exploration. In IEEE Int. Conf. Intell. Robots and Syst. (IROS), pages 540-5, 2002.
2. S. Carpin, D. Burch, and T.H. Chung. Searching for multiple targets using probabilistic quadtrees. In IEEE Int. Conf. Intell. Robots and Syst. (IROS), pages 4536-43, 2011.
3. T. Cover and J. Thomas. Elements of Information Theory. John Wiley and Sons, 2nd edition, 2006.
4. P. Dames, M. Schwager, V. Kumar, and D. Rus. A decentralized control policy for adaptive information gathering in hazardous environments. Technical report, University of Pennsylvania, 2012. Available at http://seas.upenn.edu/ ~pdames.
5. B. Grocholsky. Information-Theoretic Control of Multiple Sensor Platforms. PhD thesis, University of Sydney, 2002.
6. G. M. Hoffmann and C. J. Tomlin. Mobile sensor network control using mutual information methods and particle filters. IEEE Trans. Autom. Control, 55(1):32-47, January 2010.
7. B. J. Julian, M. Angermann, M. Schwager, and D. Rus. A scalable information theoretic approach to distributed robot coordination. In IEEE Conf. Intell. Robots and Syst. (IROS), 2011.
8. R. Mahler. Statistical multisource-multitarget information fusion. 2007. Artech House, Norwood, MA.
9. R. Mahler. Multitarget bayes filtering via first-order multitarget moments. IEEE Trans. Aerosp. Electron. Syst., 39(4):1152-78, 2003.
10. GW Pulford. Taxonomy of multiple target tracking methods. IEE Proc. Radar, Sonar and Navigation, 152(5):291-304, 2005.
11. B. Ristic and B.N. Vo. Sensor control for multi-object state-space estimation using random finite sets. Automatica, 46(11):1812-8, 2010.
12. B. Ristic, B.N. Vo, and D. Clark. A note on the reward function for phd filters with sensor control. IEEE Trans. Aerosp. Electron. Syst., 47(2):1521-9, 2011.
13. M. Schwager, P. Dames, D. Rus, and V. Kumar. A multi-robot control policy for information gathering in the presence of unknown hazards. In Int. Symp. Robotics Research (ISRR), August 2011.
14. C. E. Shannon. A mathematical theory of communication. Bell Systems Tech. J., 27:379-423, 1948.
15. S. Thrun, W. Burgard, and D. Fox. Probabilistic Robotics. MIT Press, 2005.
16. S. Waharte, A. Symington, and N. Trigoni. Probabilistic search with agile uavs. In IEEE Int. Conf. Robotics and Automation (ICRA), pages 2840-5, 2010.