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 …

This paper presents a novel multi-robot coverage path planning (CPP) algorithm-aka
SCoPP-that provides a time-efficient solution, with workload balanced plans for each robot …

This paper tackles a class of multi-robot task allocation (MRTA) problems called “Single-
Task Robots and Single-Robot Tasks” or SR–ST problems, subject to the following …

基于移动机器人的拣货系统(Robotic mobile fulfillment systems, RMFS) 作为一种新型物至人的
拣货系统, 相比人工拣货系统和AS/RS 拣货系统(下文统称传统拣货系统) 具有更高的拣货效率 …

This paper deals with the concept of multi-robot task allocation, referring to the assignment
of multiple robots to tasks such that an objective function is maximized. The performance of …

This paper presents a novel graph reinforcement learning (RL) architecture to solve multi-
robot task allocation (MRTA) problems that involve tasks with deadlines and workload, and …

Metareasoning refers to reasoning about one's own decision making process. This paper
considers metareasoning about the decision making process in multi-agent settings. We …

Multiple simple agents working together to achieve a common complex goal embodies the
underlying theme of swarm concepts, with decentralized decision-making serving as the …