SwarMAV: A Swarm of Miniature Aerial Vehicles

De Nardi, Renzo and Holland, Owen (2006) SwarMAV: A Swarm of Miniature Aerial Vehicles. [Conference Paper]

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As the MAV (Micro or Miniature Aerial Vehicles) field matures, we expect to see that the platform's degree of autonomy, the information exchange, and the coordination with other manned and unmanned actors, will become at least as crucial as its aerodynamic design. The project described in this paper explores some aspects of a particularly exciting possible avenue of development: an autonomous swarm of MAVs which exploits its inherent reliability (through redundancy), and its ability to exchange information among the members, in order to cope with a dynamically changing environment and achieve its mission. We describe the successful realization of a prototype experimental platform weighing only 75g, and outline a strategy for the automatic design of a suitable controller.

Item Type:Conference Paper
Keywords:Swarm intelligence, miniature helicopter, flocking
Subjects:Computer Science > Robotics
ID Code:5569
Deposited By: De Nardi, Mr Renzo
Deposited On:28 May 2007
Last Modified:11 Mar 2011 08:56

References in Article

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C.W. REYNOLDS. Flocks, herds, and schools: A distributed behavioral model. In Proceedings of the Conference on Computer Graphics (SIGGRAPH), volume 21:4, pages 2534, 1987.

I.D. KELLY & D.A. KEATING. Flocking by the fusion of sonar and active infrared sensors on physical autonomous mobile robots. In Proceedings of The Third Int. Conf. on Mechatronics and Machine Vision in Practice, volume 1, pages 14, 1996.

M.J. MATARIC. Interaction and intelligent behavior. PhD thesis. Massachusetts Institute of Technology, Cambridge, MA, USA, 1995.

REGMI, R. SANDOVAL, R. BYRNE, H. TANNER AND C.T. ABDALLAH, "Experimental Implementation of Flocking Algorithms in Wheeled Mobile Robots," 2005 American Control Conference, pp 4917 – 4922.

J. WELSBY and C. MELHUISH. Autonomous minimalist following in three dimensions: A study with small-scale dirigibles. In Proceedings of Towards Intelligent Mobile Robots. Manchester, 2001.

CROWTHER, W.J. and RIVIERE, X. Flocking of Autonomous Unmanned Air Vehicles. 17th Bristol UAV Conference, 2002.

JADBABAIE , J. LIN, and S.A. MORSE. Coordination of groups of mobile autonomous agent using nearest neighbor rules. IEEE Trans. Autom. Control, 48(6), 2003.

R. OLFATI-SABER. Flocking for Multi-Agent Dynamic Systems: Algorithms and Theory. IEEE Trans. on Automatic Control, vol. 51, Mar. 2006.

O. HOLLAND, J. WOODS, R. DE NARDI, AND A. CLARK. Beyond Swarm Intelligence: The Ultraswarm. Proceedings of the IEEE Swarm Intelligence Symposium (SIS2005)

J.C. ZUFFEREY. Bio-inspired Vision-based Flying Robots. PhD thesis, EPFL, 2005.

H. ZHENG, R. BUYYA and S. BHATTACHARYA (1999) Mobile Cluster Computing and Timeliness Issues, Informatica, 23: 1 1999

P. ABBEEL, V. GANAPATHI and A. Y. NG. Modeling Vehicular Dynamics, with Application to Modeling Helicopters. Neural Information Processing Systems, Vancouver, Canada, December 2005

G. BUSKEY, J. ROBERTS, P. CORKE, M. DUNBABIN and G. WYETH. The CSIRO autonomous helicopter project. In Proceeding of the International Symposium on Experimental Robotics, 2002.

A.Y. NG, H.J. KIM, M.I. JORDAN, S. SASTRY, and S BALLIANDA. Autonomous helicopter flight via reinforcement learning. Advances in Neural Information Processing Systems, 2004.

B. METTLER and M.B. KANADE and T. TISCHLER. System identification modeling of a small-scale unmanned rotorcraft for flight control design. Journal of the American Helicopter Society, 47:5360, 2002.


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