This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
Particle Swarm Optimisation (PSO) uses a population of particles that fly over the fitness landscape in search of an optimal solution. The particles are controlled by forces tha...
Riccardo Poli, Cecilia Di Chio, William B. Langdon
This study investigates the pros and cons of flocking in longrange “migration” of mobile robot swarms under the influence of different factors. We present a flocking behav...
This paper describes the development of Papous, a Virtual Storyteller. Our ultimate goal is to obtain a synthetic character that tells stories in an expressive and believable way, ...