Task allocation (TA) is essential when deploying application tasks to systems of connected devices with dissimilar and time-varying characteristics. The challenge an efficient TA assign the best devices, according context task requirements. main purpose this article study different connotations...

A cooperative game theory framework is proposed to solve multi-robot task allocation (MRTA) problems. In particular, a built assess the performance of sets robots and tasks so that Shapley value can be used compute their average marginal contribution. This fact allows us partition initial MRTA problem into set smaller simpler subproblems, which are formed by ranking clustering according value. ...

Abstract This paper addresses in-schedule dependent task allocation problems for multi-robot systems. One of the main issues with those is inherent NP-hardness combinatorial optimisation. To handle this issue, develops a decentralised algorithm by leveraging submodularity concept and sampling process sets. Our theoretical analysis reveals that proposed can provide an approximation guarantee 1/2...

With accelerated progress in autonomous agent capabilities, mixed human and teams will become increasingly commonplace both our personal professional spheres. Hence, further examination of factors affecting collaboration efficacy these types are needed to inform the design use effective human-agent teams. Ad hoc teams, where team members interact without prior experience with teammates only for...