Purpose This paper aims to present a concise review on the variant state-of-the-art dynamic
task allocation strategies. It presents a thorough discussion about the existing dynamic task …

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 …

Environmental exploration is one of the common tasks in the robotic domain which is also
known as foraging. In comparison with the typical foraging tasks, our work focuses on the …

Due to the extensive use of unmanned aerial vehicles (UAVs) in civil and military
environment, effective deployment and scheduling of a swarm of UAVs are rising to be a …

Large-scale multi-robot task allocation (MRTA) problem is an important part of intelligent
logistics scheduling. And the load capacity of robot and picking station are important factors …

This paper presents a novel approach for Multi-Robot Task Allocation (MRTA) that
introduces priority policies on preemptive task scheduling and considers dependencies …

In this paper, a non-zero-sum game model based on a multi-objective evaluation model was
adopted to solve the dynamic task allocation problem of underwater multiple Autonomous …

With sufficient literature retrieval and summery, this paper reviews the heterogeneous
oceanographic exploration system based on the synergy of unmanned surface vehicle …

This work proposes a novel data-driven distributed formation-control approach based on
multi-population evolutionary games, which is structured in a leader-follower scheme. The …

In real-world environments, ranging from urban disastrous scenes to underground mining
tunnels, autonomous mobile robots are being deployed in harsh and cluttered …