Collective robotic search using hybrid techniques: Fuzzy logic and swarm intelligence inspired by nature

Engineering Applications of Artificial Intelligence

Volumn 22, Issue 3, 2009, Pages 431-441

  Venayagamoorthy, Ganesh K ^a   Grant, Lisa L ^a   Doctor, Sheetal ^a  

^a Missouri University of Science and Technology   (United States)

Author keywords

Collective robotic search; Fuzzy logic; Fuzzy swarm; Greedy search; Particle swarm optimization; Swarm fuzzy; Swarm intelligence

Indexed keywords

CELLULAR AUTOMATA; EXPLOSIVES; FUZZY LOGIC; FUZZY SETS; LEARNING ALGORITHMS; ROBOTICS; ROBOTS;

COLLECTIVE ROBOTIC SEARCH; FUZZY SWARM; GREEDY SEARCH; PARTICLE SWARM OPTIMIZATION; SWARM FUZZY; SWARM INTELLIGENCE;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 61349112691     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2008.10.002     Document Type: Article

References (18)

1. Cortes J., Martinez S., and Bullo F. Robust rendezvous for mobile autonomous agents via proximity graphs in arbitrary dimensions. IEEE Transactions on Automatic Control 51 8 (2006) 1289-1298
2. Dadios, E., Maravilla Jr., O., 2002. Cooperative mobile robots with obstacle and collision avoidance using fuzzy logic. In: Proceedings of IEEE International Symposium on Intelligent Control, pp. 75-80.
3. Doctor S., Venayagomoorthy G., and Gudise V. Optimal PSO for collective robotic search applications. IEEE Congress on Evolutionary Computations (2004) 1390-1395
4. Foux G., Heymann M., and Bruckstein A. Two-dimensional robot navigation among unknown stationary polygonal obstacles. IEEE Transactions on Robotics and Automation 9 (1993) 96-102
5. Gesu, Di V., Lenzitti, B., Bosco, G.Lo., Tegolo, D., 2000. A distributed architecture for autonomous navigation of robots. In: Fifth IEEE International Workshop on Computer Architectures for Machine Perception, pp. 190-194.
6. Jadbabaie A., Lin J., and Morse A.S. Coordination of groups of mobile autonomous agents using nearest neighbor rules. IEEE Transactions on Automatic Control 48 6 (2003) 988-1001
7. Kennedy, J., 1999. Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance. In: Proceedings of IEEE congress on Evolutionary Computations, vol. 3, p. 1938.
8. Kennedy J., and Eberhart R. Swarm Intelligence (2001), Morgan Kauffman Publishers, San Francisco
9. Kim, H., Butler, A., 1995. Motion Planning using fuzzy logic control with minimum sensors. In: Proceedings of the 1995 IEEE International Symposium on Intelligent Control, pp. 558-564.
10. Konishi, K., Kurabayashi, D., Asama, H., Shin, S., 1999. Analysis of emergence by intelligent data carrier system for collective robots based on stochastic models. In: IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics, vol. 4, pp. 769-774.
11. Lin, Z., Broucke, M., Francis, B., 2003. Local control strategies for groups of mobile autonomous agents. In: Proceedings, IEEE Conference on Decision and Control, pp. 1006-1011.
12. Sayeed A., Zinger D., and Elbuluk M. Fuzzy controller for inverter fed induction machine. IEEE Transactions on Industry Applications 30 1 (1994) 83-93
13. Sharir M. Algorithmic motion planning in robotics. IEEE Computer 22 3 (1989) 9-19
14. Tang Z., and Ozguner U. Motion planning for multitarget surveillance with mobile sensor agents. IEEE Transactions on Robotics 21 5 (2005) 898-908
15. Van Dyke Paranuk H. Phermone learning for self-organizing agents. IEEE Transactions on Systems, Man, and Cybernetics 35 (2005) 316-326
16. Zadeh L.A. Fuzzy Logic. IEEE Computer 21 4 (1988) 83-93
17. Zhang, N., Wunsch II, D., 2003a. Fuzzy logic in collective robotic search. In: The 12th IEEE International Conference on Fuzzy Systems, vol. 2, pp. 1471-1475.
18. Zhang, N., Wunsch II, D., 2003b. A comparison of dual heuristic programming (DHP) and neural network based stochiastic optimization approach on collective robotic search problem. In: Proceedings of the International Joint Conference on Neural Networks, vol. 1, pp. 248-253.