ACM Home Page
Please provide us with feedback. Feedback
Self-organising impact boundaries in ageless aerospace vehicles
Full text PdfPdf (436 KB)
Source International Conference on Autonomous Agents archive
Proceedings of the second international joint conference on Autonomous agents and multiagent systems table of contents
Melbourne, Australia
SESSION: Robotics table of contents
Pages: 249 - 256  
Year of Publication: 2003
ISBN:1-58113-683-8
Authors
Howard Lovatt  Ageless Aerospace Vehicles and Smart Spaces project, Australia
Geoff Poulton  Ageless Aerospace Vehicles and Smart Spaces project, Australia
Don Price  Ageless Aerospace Vehicles and Smart Spaces project, Australia
Mikhail Prokopenko  Ageless Aerospace Vehicles and Smart Spaces project, Australia
Philip Valencia  Ageless Aerospace Vehicles and Smart Spaces project, Australia
Peter Wang  Ageless Aerospace Vehicles and Smart Spaces project, Australia
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 0,   Downloads (12 Months): 15,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues   peer to peer  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/860575.860615
What is a DOI?

ABSTRACT

Self-monitoring, self-repairing aerospace vehicles require modular, flexible and adaptive sensing and communication networks. In general, a modular (multi-cellular) sensing and communication network is expected to detect and react to impact location, energy and damage over a wide range of impacts. It is critical that global response emerges as a result of interactions involving transfer of information embedded locally, avoiding single points-of-failure. This work presents mechanisms ensuring self-organisation of autonomous cells into robust and continuously connected impact boundaries. The spatiotemporal stability is demonstrated for a variety of cell shapes in a dynamic environment with varying energy dissipation and damage probability models.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
David Abbott, Briony Doyle, John Dunlop, Tony Farmer, Mark Hedley, Jan Herrmann, Geoff James, Mark Johnson, Bhautik Joshi, Geoff Poulton, Don Price, Mikhail Prokopenko, Torsten Reda, David Rees, Andrew Scott, Philip Valencia, Damon Ward, and John Winter. Development and Evaluation of Sensor Concepts for Ageless Aerospace Vehicles. Development of Concepts for an Intelligent Sensing System. NASA technical report NASA/CR-2002-211773, Langley Research Center, Hampton, Virginia.
 
2
Daryl W. Bradley, Andrew M. Tyrrell. Immunotronics: Novel Finite-State-Machine Architectures With Built-In Self-Test Using Self-Nonself Differentiation. IEEE Transactions on Evolutionary Computing, Vol. 6., No. 3., June 2002.
 
3
Aaron R Dinner, Andrej Sali, and Martin Karplus. The folding mechanism of larger model proteins: role of native structure. In the Proceedings of National Academy of Sciences, USA, 98, 8356--8361, 1996.
 
4
Mark Foreman, Mikhail Prokopenko, Peter Wang. Phase Transitions in Self-organising Sensor Networks. Submitted to the 7th European Conference on Artificial Life, ECAL-03, Germany.
 
5
6
 
7
Konstantine C Prevas, Cem Ünsal, Mehmet Ö Efe, and Pradeep K Khosla. A Hierarchical Motion Planning Strategy for a Uniform Self-Reconfigurable Modular Robotic System. In the Proceedings of IEEE Int'l Conference on Robotics and Automation, 2002.
 
8
 
9
Mikhail Prokopenko and Peter Wang. Relating the Entropy of Joint Beliefs to Multi-Agent Coordination. In the Proceedings of the 6th International Symposium on RoboCup, 2002.
 
10
Andrej Sali, Eugene Shahknovich, and Martin Karplus. How does a protein fold. Nature, 369, 1994.
 
11
Cem Ünsal and John S Bay. Spatial Self-Organization in Large Populations of Mobile Robots. In the Proceedings of 1994 IEEE International Symposium on Intelligent Control, Columbus, Ohio, 1994.
 
12
Luba Vikhanski. In Search of the Lost Cord: Solving the Mystery of Spinal Cord Regeneration. JHP, 2001.


Collaborative Colleagues:
Howard Lovatt: colleagues
Geoff Poulton: colleagues
Don Price: colleagues
Mikhail Prokopenko: colleagues
Philip Valencia: colleagues
Peter Wang: colleagues

Peer to Peer - Readers of this Article have also read: