In this paper we use a reinforcement learning algorithm with the aim to increase the autonomous lifetime of a Wireless Sensor Network (WSN) and decrease latency in a decentralized...
We describe an architecture-centric design and implementation approach for building self-adapting and selfmanaging robotics systems. The basis of our approach is the concept of me...
George Edwards, Joshua Garcia, Hossein Tajalli, Da...
This paper describes a successful integration of the IEEE micromouse competition training programme with regular undergraduate courses at Zhejiang University City College (ZUCC), H...
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
—The subject of this work is the patrolling of an environment with the aid of a team of autonomous agents. We consider both the design of open-loop trajectories with optimal prop...
Fabio Pasqualetti, Antonio Franchi, Francesco Bull...