Multi-level spatial modeling for stochastic distributed robotic systems

International Journal of Robotics Research

Volumn 30, Issue 5, 2011, Pages 574-589

  Prorok, Amanda ^a   Correll, Nikolaus ^b   Martinoli, Alcherio ^a  

^a EPFL   (Switzerland)

^b UCB 450   (United States)

Author keywords

Distributed intelligent systems; Distributed robotics; Probabilistic modeling; Swarm intelligence

Indexed keywords

ACCURATE PREDICTION; DIFFUSION MODEL; DISCRETE STATE; DISTRIBUTED INTELLIGENT SYSTEMS; DISTRIBUTED ROBOTIC SYSTEMS; DISTRIBUTED ROBOTICS; FOKKER PLANCK; INSPECTION TASKS; MICROSCOPIC AND MACROSCOPIC MODELS; MICROSCOPIC LEVELS; MICROSCOPIC MODELS; MINIATURE ROBOTS; MODELING PERFORMANCE; MULTI-LEVEL; PROBABILISTIC MODELING; REAL ROBOT; ROBOT SIMULATIONS; ROBOTIC PLATFORMS; SPATIAL MODELING; SWARM INTELLIGENCE;

CELLULAR AUTOMATA; COMPUTER SIMULATION; DIFFERENCE EQUATIONS; INTELLIGENT SYSTEMS; MULTI AGENT SYSTEMS; PROBABILITY DISTRIBUTIONS; ROBOTICS;

INTELLIGENT ROBOTS;

EID: 79959338443     PISSN: 02783649     EISSN: 17413176     Source Type: Journal    
DOI: 10.1177/0278364910399521     Document Type: Article

References (28)

1. Agassounon W, Martinoli A and Easton K (2004) Macroscopic modeling of aggregation experiments using embodied agents in teams of constant and time-varying sizes. Autonomous Robots 17: 163-191.
2. Arkin R (2000) Behavior-based Robotics. Cambridge, MA The MIT Press.
3. Barton G (1989) Elements of Green's Functions and Propagation: Potentials, Diffusion and Waves. Oxford: Oxford Science Publications/Clarendon Press.
4. Berg HC (1983) Random Walks in Biology. Princeton, NJ: Princeton University Press.
5. Bonabeau E, Dorigo M and Theraulaz G (1999) Swarm Intelligence: From Natural to Artificial Systems (SFI Studies in the Science of Complexity). New York: Oxford University Press.
6. Braitenberg V (1984) Vehicles. Experiments in Synthetic Psychology. Cambridge, MA: The MIT Press.
7. Camazine S, Deneubourg J-L, Franks NR, Sneyd J, Theraulaz G and Bonabeau E (2001). Self-Organization in Biological Systems (Princeton Studies in Complexity). Princeton, NJ: Princeton University Press.
8. Caprari G and Siegwart R (2005) Mobile micro-robots ready to use: Alice. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3295-3300.
9. Chaimowicz L and Kumar V (2004) Aerial shepherds: Coordination among UAVs and swarms of robots. In 7th International Symposium on Distributed Autonomous Robotic Systems (DARS), Toulouse, France, pp. 231-240.
10. Chatterjee A (2007) An overview of spatial microscopic and accelerated kinetic monte carlo methods. Journal of Computer- Aided Materials Design 14: 253.
11. Choset H (2001) Coverage for robotics-a survey of recent results. Annals of Mathematics and Artificial Intelligence 31: 113-126.
12. Correll N and Martinoli A (2006a) Collective inspection of regular structures using a swarm of miniature robots. In The 9th International Symposium on Experimental Robotics (ISER) (Springer Tracts in Advanced Robotics). Berlin: Springer, pp. 375-385.
13. Correll N and Martinoli A (2006b) Modeling and optimization of a swarm-intelligent inspection system. In International Symposium on Distributed Autonomous Robotic Systems (DARS). Berlin: Springer Verlag, pp. 369-378.
14. Correll N and Martinoli A (2006c) System identification of selforganizing robotic swarms. In The 8th International Symposium on Distributed Autonomous Robotic Systems (DARS). Berlin: Springer-Verlag, pp. 31-40.
15. Dacorogna B and Tanteri C (2002) Analyse avance pour ingnieurs. Lausanne: Presses Polytechniques et Universitaires Romandes.
16. Douglas JJ (1961) A survey of numerical methods for parabolic differential equations. Advances in Computers 2: 1-52.
17. Ferraro M and Zaninetti L (2001) Number of times a site is visited in two-dimensional random walks. Physical Review E 64: 056107.
18. Gelten RJ (1998) Monte carlo simulations of a surface reaction model showing spatio-temporal pattern formations and oscillations. The Journal of Chemical Physics 108: 5921-5935.
19. Hamann H and Wörn H (2008) A framework of space-time continuous models for algorithm design in swarm robotics. Swarm Intelligence 2: 209-239.
20. Lerman K and Galstyan A (2002) Mathematical model of foraging in a group of robots: Effect of interference. Autonomous Robots 2: 127-141.
21. Lochmatter T, Roduit P, Cianci C, Correll N, Jacot J and Martinoli A (2008) SwisTrack-a flexible open source tracking software for multi-agent systems. In IEEE/RSJ 2008 International Conference on Intelligent Robots and Systems (IROS). Piscataway, NJ: IEEE Press, pp. 4004-4010.
22. Makeev AG (2002) Coarse bifurcation analysis of kinetic Monte Carlo simulations: a lattice-gas model with lateral interactions. The Journal of Chemical Physics 177: 8229-8240. (Pubitemid 35359143)
23. Martinoli A (1999) Swarm Intelligence in Autonomous Collective Robotics: From Tools to the Analysis and Synthesis of Distributed Collective Strategies. PhD thesis, DI-EPFL, Lausanne, Switzerland.
24. Martinoli A, Easton K and Agassounon W (2004) Modeling of swarm robotic systems: a case study in collaborative distributed manipulation. The International Journal of Robotics Research 23: 415-436.
25. Michel O (2004) Webots: professional mobile robot simulation. Journal of Advanced Robotic Systems 1: 39-42.
26. Rudnick J and Gaspari G (2004) Elements of the Random Walk. Cambridge: Cambridge University Press.
27. Vasilescu I, Kotay K, Rus D, Dunbabin M and Corke P (2005) Data collection, storage, and retrieval with an underwater sensor network. In Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems (SenSys), pp. 154-165.
28. Winfield A, Liu W, Nembrini J and Martinoli A (2008) Modelling a wireless connected swarm of mobile robots. Swarm Intelligence 2: 241-266.