Article

Self-management Framework for Unmanned Autonomous Vehicles

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AIMS '07: Proceedings of the 1st international conference on Autonomous Infrastructure, Management and Security: Inter-Domain Management

Pages 164 - 167

https://doi.org/10.1007/978-3-540-72986-0_16

Published: 21 June 2007 Publication History

Abstract

In this paper we identify the challenges in enabling self-management for Unmanned Autonomous Vehicles and briefly outline our policy-based approach for realising a self-management framework. We also present preliminary results.

References

[1]

Lupu, E., Dulay, N., Sventek, J., Heeps, S., Strowes, S., Twidle, K., Keoh, S.L., Schaffer-Filho, A.: Amuse: Autonomic management of ubiquitous e-Health systems. To be published in Concurrency and Computation: Practice and Experience (2007).

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[2]

Keoh, S.L., Twidle, K., Pryce, N., Schaeffer-Filho, A., Lupu, E., Dulay, N., Sloman, M., Heeps, S., Strowes, S., Sventek, J., Katsiri, E.: Policy-based management for body-sensor networks. In: Proceedings of the 4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN07), pp. 92-98. Springer-Verlag, Heidelberg (2007).

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Nilsson, N.J.: Teleo-reactive programs for agent control. Journal of Artificial Intelligence Research 1, 139-158 (1994).

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AIMS '07: Proceedings of the 1st international conference on Autonomous Infrastructure, Management and Security: Inter-Domain Management

June 2007

236 pages

ISBN:9783540729853

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Springer-Verlag

Berlin, Heidelberg

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Published: 21 June 2007

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Guidance and nonlinear control system for autonomous flight of minirotorcraft unmanned aerial vehicles

TinyBlimp: A Promising Frontier for Autonomous Miniature Unmanned Aerial Vehicles

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