Abstract. A self-organising system functions without central control, and through contextual local interactions. Components achieve a simple task individually, but a complex collec...
Giovanna Di Marzo Serugendo, Noria Foukia, Salima ...
We develop a vision system for highly mobile autonomous agents that is capable of dynamic obstacle avoidance. We demonstrate the robust performance of the system in artificial ani...
The agreement problem is studied whereby a group of mobile agents achieves convergence to a common point. A hierarchical cyclic pursuit scheme is introduced, and it is shown that ...
Stephen L. Smith, Mireille E. Broucke, Bruce A. Fr...
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...