Abstract The Multiple Traveling Salesman Problem (MTSP) is among the most interesting
combinatorial optimization problems because it is widely adopted in real-life applications …

The dynamic uncertain environment and complex tasks determine that the unmanned aerial
vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In …

Search and rescue (SAR) operations can take significant advantage from supporting
autonomous or teleoperated robots and multi-robot systems. These can aid in mapping and …

There are significant advantages using the autonomous underwater vehicle (AUV) for
underwater search. Compared with a single AUV, multi-AUV offers greater efficiency and …

In the last years, Multi-Robot Systems (MRS) have experienced considerable recognition
due to various possible real-world applications. Multi-Robot Task Allocation (MRTA) is …

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 …

In this paper, the distributed consensus control problem is considered for a class of
disturbed second-order multi-agent systems (MASs) with directed networks. Both leaderless …

The task assignment and path planning of a multi-AUVs system has now attracted
considerable attention and become a hotspot in the research. In this paper, a novel …

The deployment of multiple robots for achieving a common goal helps to improve the
performance, efficiency, and/or robustness in a variety of tasks. In particular, the observation …

This paper studies the multi-robot task assignment problem in which a fleet of dispersed
robots needs to efficiently transport a set of dynamically appearing packages from their initial …