Reflections on the future of swarm robotics

M Dorigo, G Theraulaz, V Trianni - Science Robotics, 2020 - science.org
Reflections on the future of swarm robotics | Science Robotics news careers commentary
Journals Science Science brought to you byGoogle Indexer Log in science science …

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 …

Swarm robotics: Past, present, and future [point of view]

M Dorigo, G Theraulaz, V Trianni - Proceedings of the IEEE, 2021 - ieeexplore.ieee.org
Swarm robotics deals with the design, construction, and deployment of large groups of
robots that coordinate and cooperatively solve a problem or perform a task. It takes …

Machine and deep learning for resource allocation in multi-access edge computing: A survey

H Djigal, J Xu, L Liu, Y Zhang - IEEE Communications Surveys …, 2022 - ieeexplore.ieee.org
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …

Robotic mobile fulfillment systems: A survey on recent developments and research opportunities

ÍR da Costa Barros, TP Nascimento - Robotics and Autonomous Systems, 2021 - Elsevier
With the advancement of the autonomous mobile robots applied to Warehouses and the
creation of the Robotic Mobile Fulfillment System after the market implementation of the Kiva …

[PDF][PDF] Task and path planning for multi-agent pickup and delivery

M Liu, H Ma, J Li, S Koenig - … of the International Joint Conference on …, 2019 - par.nsf.gov
We study the offline Multi-Agent Pickup-and-Delivery (MAPD) problem, where a team of
agents has to execute a batch of tasks with release times in a known environment. To …

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 …

A* guiding DQN algorithm for automated guided vehicle pathfinding problem of robotic mobile fulfillment systems

L Luo, N Zhao, Y Zhu, Y Sun - Computers & Industrial Engineering, 2023 - Elsevier
This paper proposes an A* guiding deep Q-network (AG-DQN) algorithm for solving the
pathfinding problem of an automated guided vehicle (AGV) in a robotic mobile fulfillment …

Dynamic multi-robot task allocation under uncertainty and temporal constraints

S Choudhury, JK Gupta, MJ Kochenderfer, D Sadigh… - Autonomous …, 2022 - Springer
We consider the problem of dynamically allocating tasks to multiple agents under time
window constraints and task completion uncertainty. Our objective is to minimize the number …

A task allocation algorithm for a swarm of unmanned aerial vehicles based on bionic wolf pack method

Z Wang, J Zhang - Knowledge-Based Systems, 2022 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) swarms are attracting more and more research
attention due to their low cost and high efficiency. Task allocation is a highly important …