Multi-agent systems and especially unmanned vehicles, are a crucial part of the solution to a
lot of real world problems, making essential the improvement of task allocation techniques …

We consider the problem of dynamically allocating tasks to multiple agents under time
window constraints and task completion uncertainty. Our objective is to minimize the number …

Unmanned aerial vehicles, can offer solutions to a lot of problems, making it crucial to
research more and improve the task allocation methods used. In this survey, the main …

This paper describes work on multi-robot pattern formation. Arbitrary target patterns are
represented with an optimal robot deployment, using a method that is independent of the …

The uncertainty of task allocation in disaster environments is challenging both practically
and theoretically. In real environments, agents encounter uncertain factors for the selection …

This paper introduces an approach that scales assignment algorithms to large numbers of
robots and tasks. It is especially suitable for dynamic task allocations since both task locality …

We study the problem of tracking multiple moving targets using a team of mobile robots.
Each robot has a set of motion primitives to choose from in order to collectively maximize the …

This paper considers the problem of assigning a set of tasks to a set of heterogeneous
agents under the additional assumptions that some tasks must be necessarily allocated and …

Channel impairments in powerline communication (PLC) and visible light communication
(VLC) technologies are one of the causes of performance degradation in hybrid PLC and …

A key challenge for document clustering consists in finding a proper similarity measure for
text documents that enables the generation of cohesive groups. Measures based on the …