Nicola Basilico

TL;DR: This paper proposes an approach to determine optimal leader-follower strategies for a mobile robot patrolling an environment that can be applied to environments with arbitrary topologies.

TL;DR: A set of abstractions, algorithms, and applications that are natively efficient for TrueNorth, a non-von Neumann architecture inspired by the brain's function and efficiency, and seven applications that include speaker recognition, music composer recognition, digit recognition, sequence prediction, collision avoidance, optical flow, and eye detection are developed.

TL;DR: This paper defines and study security games with an extensive-form infinite-horizon underlying game, where decision nodes are potentially infinite and introduces a novel scenario where the attacker can undertake actions during the execution of the [email protected]?s strategy.

TL;DR: In this paper, the authors evaluate simple yet efficient fronti er-based exploration strategies for autonomous robots operating in initially unknown environments and present results from a comparative evaluation with a reference exploration strategy taken from the literature.

TL;DR: Some of the advantages of using a more theoretically-grounded approach, based on Multi-Criteria Decision Making (MCDM), to define exploration strategies for robots employed in search and rescue applications are shown.