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 …

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 …

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 …

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 …

Efficient multi-robot task allocation (MRTA) is fundamental to various time-sensitive
applications such as disaster response, warehouse operations, and construction. This paper …

Response-threshold methods stand out among the different developed swarm-like
methodologies that address the task allocation problem, which must be faced in multi-robot …

Multi-robot coverage planning has gained significant attention in recent years. In this letter,
we introduce a novel approach called APF-CPP (Artificial Potential Field Based Multi-Robot …

Swarm robotic search aims at searching targets using a large number of collaborating
simple mobile robots, with applications to search and rescue and hazard localization. In this …