This paper presents an innovative task allocation method for multi-robot systems that aims to
optimize task distribution while taking into account various performance metrics such as …

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 …

This paper presents a comparative study between optimization‐based and market‐based
approaches used for solving the Multirobot task allocation (MRTA) problem that arises in the …

This paper presents a market-based approach used for solving the Multi-robot Task
Allocation (MRTA) problem that arises in the context of Multi-robot Systems (MRS). The …

The paper presents an Evolutionary Algorithm (EA) based framework capable of handling a
variety of complex Multi-Robot Task Allocation (MRTA) problems. Equipped with a flexible …

Abstract Multi-Robot Task Allocation (MRTA) has no formal framework which could provide
solutions covering different domains within the MRTA taxonomy without changing the …

In the field of cooperative robotics, task allocation is an issue receiving much attention.
When researchers design, build, and use cooperative multi-robot system, they invariably try …

In this paper the problem of static multi-robot task allocation is addressed. It is concerned
with the distribution of static tasks in an environment to robots such that the robots complete …

Multi-robot systems (MRS) are a group of robots that are designed aiming to perform some
collective behavior. By this collective behavior, some goals that are impossible for a single …

This paper models the Multi-Robot Task Allocation (MRTA) problem with a balance
constraint to improve the utilisation (completion time) of the robots. Our balancing constraint …