— This work explores novel mechanisms for aerial acoustic machine-machine communications. It builds on previous work by some of the authors [1], as well as others [2]. In this pa...
Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
— When a network of robots or static sensors is emplaced in an environment, the spatial relationships between the sensing units must be inferred or computed for most key applicat...
In this paper a planning framework based on Ant Colony Optimization techniques is presented. It is well known that finding optimal solutions to planning problems is a very hard co...
Marco Baioletti, Alfredo Milani, Valentina Poggion...
Abstract: A novel self-organizing algorithm for conformational sampling is introduced, in which precomputed conformations of rigid fragments are used as templates to enforce the de...