Multi-objective exploration and search for autonomous rescue robots

Journal of Field Robotics

Volumn 24, Issue 8-9, 2007, Pages 763-777

  Calisi, Daniele ^a   Farinelli, Alessandro ^a   Iocchi, Luca ^a   Nardi, Daniele ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CONCURRENT ENGINEERING; MATHEMATICAL MODELS; PETRI NETS; SYNCHRONIZATION;

AUTONOMOUS RESCUE ROBOTS; MULTI-OBJECTIVE EXPLORATION;

ROBOTICS;

EID: 35348869204     PISSN: 15564959     EISSN: 15564967     Source Type: Journal    
DOI: 10.1002/rob.20216     Document Type: Conference Paper

References (23)

1. Amigoni, F., & Gallo, A. (2005). A multi-objective exploration strategy for mobile robots. In Proceedings of the 2005 IEEE International Conference on Robotic and Automation, Barcelona, Spain.
2. Bahadori Ghouchani, S. (2006). Human body detection in search and rescue missions. Ph.D. thesis, University of Rome 'La Sapienza', Dipartimento Di Informatica e Sistemistica.
3. Balakirsky, S., Scrapper, C., Carpin, S., & Lewis, M. (2006). USARSim: providing a framework for multi-robot performance evaluation. In Proceedings of the International Workshop on Performance Metrics for Intelligent Systems (PerMIS).
4. Calisi, D., Farinelli, A., Iocchi, L., & Nardi, D. (2005). Autonomous navigation and exploration in a rescue environment. In Proceedings of the 2nd European Conference on Mobile Robotics (ECMR), pp. 110-115, Edizioni Simple s.r.l., Macerata, Italy.
5. Choset, H. (2001). Coverage for robotics - a survey on recent results. Annals of Mathematics and Artificial Intelligence, 31, 113-126.
6. Coello, C. A. C. (1999). An updated survey of evolutionary multiobjective optimization techniques: State of the art and future trends. In P. J. Angeline, Z. Michalewicz, M. Schoenauer, X. Yao, & A. Zalzala (eds.), Proceedings of the Congress on Evolutionary Computation, vol. 1, pp. 3-13, Washington DC. New York: IEEE Press.
7. DasGupta, B., Hespanha, J.P., Riehl, J., & Sontag, E. (2006). Honey-pot constrained searching with local sensory information. Journal of Nonlinear Analysis: Hybrid Systems and Applications, 65(9), 1773-1793.
8. Farinelli, A., Grisetti, G., & Iocchi, L. (2006). Design and implementation of modular software for programming mobile robots. International Journal of Advanced Robotic Systems, 3(1), 37-42.
9. González-Baños, H.H., & Latombe, J.-C. (2002). Navigation strategies for exploring indoor environments. Int. J. Robotic Res., 21(10-11), 829-848.
10. Jacoff, A., & Messina, E. (2006). DHS/NIST response robot evaluation exercises. In IEEE International Workshop on Safety Security and Rescue Robots, Gaithersburg, MD.
11. Jacoff, A., Weiss, B., & Messina, E. (2003). Evolution of a performance metric for urban search and rescue robots. In Proceedings of Performance Metrics for Intelligent Systems (PerMIS) Workshop, Gaithersburg, MD.
12. Jin, Y., Liao, Y., Polycarpou, M.M., & Minai, A.A. (2004). Balancing search and target response in cooperative uav teams. In Proc. of 43rd IEEE Conference on Decision and Control, pp. 2923-2928.
13. Latombe, J. C. (1991). Robot motion planning. Dordrecht: Kluwer Academic Publishers.
14. LaValle, S., & Kuffner, J. (1999). Randomized kinodynamic planning. In Proceedings of IEEE International Conference on Robotics and Automation (ICRA), pp. 473-179.
15. Mathews, G.M., & Durrant-White, H.F. (2006). Scalable decentralised control for multi-platform reconnaissance and information gathering tasks. In Proceedings of 9th International Conference on Information Fusion, pp. 1-8.
16. Murata, T. (1989). Petri Nets: properties, analysis and applications. Proceedings of the IEEE, 77(4), 541-580.
17. Peterson, J.L. (1981). Petri Net theory and the modelling of systems. Englewood Cliff, NJ: Prentice Hall.
18. Pineau, J., & Gordon, G. (2005). POMDP planning for robust robot control. In Robotics research, Springer Tracts in Advanced Robotics, Vol. 28, pp. 69-82.
19. Pito, R. (1996). A sensor based solution to the next best view problem. In Proceedings of International Conference on Pattern Recognition (ICPR), pp. 941-945.
20. Stachniss, C., Grisetti, G., & Burgard, W. (2005). Information gain-based exploration using rao-blackwellized particle filters. In Proceedings of Robotics: Science and Systems (RSS), Cambridge, MA.
21. Wang, J., Lewis, M., & Gennari, J. (2003). Interactive simulation of the nist usar arenas. In Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, pp. 1350-1354.
22. Yamauchi, B. (1997). A frontier based approach for autonomous exploration. In IEEE International Symposium on Computational Intelligence in Robotics and Automation.
23. Ziparo, V.A., & Iocchi, L. (2006). Petri Net Plans. In Proceedings of Fourth International Workshop on Modelling of Objects, Components, and Agents (MOCA), pp. 267-290, Turku, Finland. Bericht 272, FBI-HH-B-272/06.