Multi-robot Task Allocation (MRTA) is the problem of assigning tasks to robots subject to a
performance objective. Among existing approaches to MRTA, auction-based methods are …

This work addresses multi-robot coordination in social human-populated environments
using a market-based framework for solving the Multi-Robot Task Allocation (MRTA) …

We propose a novel formulation of the collision-aware task assignment (CATA) problem and
a decentralized auction-based algorithm to solve the problem with optimality bound. Using a …

Due to the rapid development of robotics application in a wide range of industries and the
rapid growing complexity of tasks coordination, researches in Multi-Robot Task Allocation …

Abstract Multi-Robot Task Allocation (MRTA) is an important area of research in autonomous
multi-robot systems. The main problem in MRTA is to match a set of robots to a set of tasks …

Multi-robot task allocation (MRTA) is an important area of research in autonomous multi-
robot systems. The main problem in MRTA is to allocate a set of tasks to a set of robots so …

In this work, we address a task allocation problem for human multi-robot settings. Given a set
of tasks to perform, we formulate a general Mixed-Integer Linear Programming (MILP) …

In this article, we study multirobot task allocation problems where task costs vary. The
variation may be, for example, due to the revelation of new information or other dynamic …

We present a novel reinforcement learning based algorithm for multi-robot task allocation
problem in ware-house environments. We formulate it as a Markov Decision Process and …

In this paper, we propose a risk-based coordination method for the Multi-Robot Task
Allocation (MRTA) problem in human-populated environments. We introduce risk-based …