Optimization techniques for Multi-Robot Task Allocation problems: Review on the state-of-the-art

H Chakraa, F Guérin, E Leclercq, D Lefebvre - Robotics and Autonomous …, 2023 - Elsevier
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 …

Automated guided vehicle systems, state-of-the-art control algorithms and techniques

M De Ryck, M Versteyhe, F Debrouwere - Journal of Manufacturing …, 2020 - Elsevier
Automated guided vehicles (AGVs) form a large and important part of the logistic transport
systems in today's industry. They are used on a large scale, especially in Europe, for over a …

Multiple mobile robot task and motion planning: A survey

L Antonyshyn, J Silveira, S Givigi, J Marshall - ACM Computing Surveys, 2023 - dl.acm.org
With recent advances in mobile robotics, autonomous systems, and artificial intelligence,
there is a growing expectation that robots are able to solve complex problems. Many of …

Cooperative heterogeneous multi-robot systems: A survey

Y Rizk, M Awad, EW Tunstel - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
The emergence of the Internet of things and the widespread deployment of diverse
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …

Market approaches to the multi-robot task allocation problem: a survey

F Quinton, C Grand, C Lesire - Journal of Intelligent & Robotic Systems, 2023 - Springer
Market-based methods have received significant attention for solving the multi-robot task
allocation problem. They have been used in a variety of multi-robot scenarios, such as …

Review on state-of-the-art dynamic task allocation strategies for multiple-robot systems

N Seenu, KC RM, MM Ramya… - Industrial Robot: the …, 2020 - emerald.com
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 …

Dynamic AGV scheduling model with special cases in matrix production workshop

Z Li, H Sang, Q Pan, K Gao, Y Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Automated guided vehicles (AGVs) have become indispensable transportation tools in
intelligent production workshops. The current AVG scheduling system has almost no …

Decentral task allocation for industrial AGV-systems with resource constraints

M De Ryck, D Pissoort, T Holvoet… - Journal of Manufacturing …, 2021 - Elsevier
Abstract Automated Guided Vehicles (AGVs) form a large and important part of the logistics
transportation systems in today's industry and are widely used, especially in Europe. Today's …

Multi-agent simulation of autonomous industrial vehicle fleets: Towards dynamic task allocation in V2X cooperation mode

J Grosset, AJ Fougères… - Integrated …, 2024 - journals.sagepub.com
The smart factory leads to a strong digitalization of industrial processes and continuous
communication between the systems integrated into the production, storage, and supply …

A bid-based grou** method for communication-efficient decentralized multi-UAV task allocation

KS Kim, HY Kim, HL Choi - … Journal of Aeronautical and Space Sciences, 2020 - Springer
This paper presents an extension to a decentralized multi-UAV task allocation algorithm,
consensus-based bundle algorithm (CBBA), to improve the communication efficiency in the …