Programmable self-assembly using biologically-inspired multiagent control
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
The Synergy of Biology, Intelligent Systems, and Space Exploration
IEEE Intelligent Systems
Cyberoos'2001: "Deep Behaviour Projection" Agent Architecture
RoboCup 2001: Robot Soccer World Cup V
IEEE Transactions on Evolutionary Computation
Self-Organizing Hierarchies in Sensor and Communication Networks
Artificial Life
A virtual machine generator for heterogeneous smart spaces
VM'04 Proceedings of the 3rd conference on Virtual Machine Research And Technology Symposium - Volume 3
Control and Intelligent Systems
On self-organising diagnostics in impact sensing networks
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
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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.