Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a
large number of domains, including railways. In this paper, we present a systematic literature …

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 …

Currently, manufacturing enterprises face increasingly fierce market competition due to the
various demands of customers and the rapid development of economic globalization …

Multi-UAV systems are essential in accomplishing specific tasks across various research
applications. UAVs can be used in search and rescue (SR), which requires them to explore …

This paper considers the problem of maximizing the number of task allocations in a
distributed multirobot system under strict time constraints, where other optimization …

This paper considers the task allocation problems in a distributed multi-robot system under
critical time constraints. Considering the requirement of distributed computing, many existing …

Cooperative multiple task assignment problem is an essential issue in the collaboration of
multiple unmanned aerial vehicles (UAVs). Consensus-based bundle algorithm (CBBA) is a …

This paper focuses on the problem of robot rescue task allocation, in which multiple robots
and a global optimal algorithm are employed to plan the rescue task allocation. Accordingly …

We propose a distributed approach to solve the multi-robot task allocation problem. This
problem consists of two distinct sets: robots and tasks. The objective is to assign tasks to …

This work considers the adaptive output feedback consensus asymptotic tracking control
problem for full-state-constrained nonlinear multiagent systems (MASs) under the denial-of …