Understanding collective aggregation mechanisms: From probabilistic modelling to experiments with real robots

Robotics and Autonomous Systems

Volumn 29, Issue 1, 1999, Pages 51-63

  Martinoli, A ^a   Ijspeert, A J ^a,b   Mondada, F ^a  

^a EPFL   (Switzerland)

^b DALLE MOLLE INSTITUTE FOR ARTIFICIAL INTELLIGENCE IDSIA   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; DISTRIBUTED COMPUTER SYSTEMS; MATHEMATICAL MODELS; PROBABILITY; SENSORS;

COLLECTIVE AGGREGATION MECHANISMS;

ROBOTICS;

EID: 0033338169     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0921-8890(99)00038-X     Document Type: Article

References (13)

1. R. Beckers, O.E. Holland, J.L. Deneubourg, From local actions to global tasks: Stigmergy and collective robotics, in: R. Brooks, P. Maes (Eds.), Proceedings of the Fourth Workshop on Artificial Life, MIT Press, Boston, MA, 1994 pp. 181-189.
2. E.G. Bonabeau, G. Theraulaz, Intelligence Collective, Hermès, Paris, 1994.
3. J.C. Deneubourg, S. Goss, N. Franks, A. Sendova, A. Franks, C. Detrin, L. Chatier, The dynamics of collective sorting: Robot-like ant and ant-like robot, in: J.A. Mayer, S.W. Wilson (Eds.), Simulation of Adaptive Behavior: From Animals to Animats, MIT Press, Cambridge, MA, 1991, pp. 356-365.
4. W.L. Hays, Statistics, Harcourt Brace College, Orlando, FL, 1991.
5. M. Maris, R. te Boekhorst, Exploiting physical constraints: Heap formation through behavioral error in a group of robots, in: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS-96, Vol. 3, Osaka, Japan, 1996, pp. 1655-1660.
6. A. Martinoli, E. Franzi, O. Matthey, Towards a reliable set-up for bio-inspired collective experiments with real robots, in: A. Casals, A.T. de Almeida (Eds.), Proceedings of the Fifth International Symposium on Experimental Robotics ISER-97, Barcelona, Spain, Springer, Berlin, 1997, pp. 597-608.
7. A. Martinoli, A.I. Ijspeert, L.M. Gambardella, in preparation.
8. A. Martinoli, F. Mondada, Collective and cooperative group behaviours: Biologically inspired experiments in robotics, in: O. Khatib, J.K. Salisbury (Eds.), Proceedings of the Fourth International Symposium on Experimental Robotics, Stanford, Springer, Berlin, 1995, pp. 3-10.
9. A. Martinoli, F. Mondada, Probabilistic modelling of bio-inspired collective experiments with real robots, in: T. Lüth, R. Dillman, P. Dario, H. Wörn (Eds.), Proceedings of the Third International Symposium on Distributed Autonomous Robotic Systems, Karlsruhe, Germany, Springer, Berlin, 1998, pp. 289-308.
10. C. Melhuish, O. Holland, S. Hoddell, Collective sorting and segregation in robots with minimal sensing, in: R. Pfeifer, B. Blumberg, J.A. Meyer, S.W. Wilson (Eds.), From Animals to Animats V: Proceedings of the Fifth International Conference on Simulation of Adaptive Behavior, Zürich, Switzerland, August 1998.
11. O. Michel, Webots: Symbiosis between virtual and real mobile robots, in: Proceedings of the First International Conference on Virtual Worlds, VW'98, Paris, Springer, Berlin, 1988, pp. 254-263.
12. F. Mondada, E. Franzi, P. Ienne, Mobile robot miniaturization: A tool for investigation in control algorithms, in: T. Yoshikawa, F. Miyazaki (Eds.), Proceedings of the Third International Symposium on Experimental Robotics, Kyoto, Japan, 1993, pp. 501-513.
13. M. Yamamoto, Software development of basic behaviors for autonomous and collective robotics, Technical Report, Microcomputing Laboratory, Swiss Federal Institute of Technology, 1996.