— In previous work we presented a multi-robot strategy for routing missions in large scenarios where network connectivity must be explicitly preserved. This strategy is founded o...
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
In this paper, we study the problem of scheduling task sets with (m,k) constraints. In our approach, jobs of each task are partitioned into two sets: mandatory and optional. Manda...
The advances in the programmable hardware has lead to new architectures where the hardware can be dynamically adapted to the application to gain better performance. There are stil...