Swarm robotics: A Survey from a Multi-tasking Perspective

E Debie, K Kasmarik, M Garratt - ACM Computing Surveys, 2023 - dl.acm.org
The behaviour of social insects such as bees and ants has influenced the development of
swarm robots. To enable robots to cooperate together, swarm robotics employs principles …

A digital twin-based decision support approach for AGV scheduling

Y Gao, D Chang, CH Chen, M Sha - Engineering Applications of Artificial …, 2024 - Elsevier
The dynamic and complex environment affects the operational efficiency of automated
guided vehicles (AGVs) at automated container terminals, in which artificial intelligent …

Implementation of Automated Guided Vehicles for the Automation of Selected Processes and Elimination of Collisions between Handling Equipment and Humans in …

I Kubasakova, J Kubanova, D Benco, D Kadlecová - Sensors, 2024 - mdpi.com
This article deals with the implementation of automated guided vehicles (AGVs) in a
selected company. The aim is to analyse the use of AGVs in our country and abroad and to …

Dynamic unbalanced task allocation of warehouse AGVs using integrated adaptive large neighborhood search and Kuhn–Munkres algorithm

J Xin, Q Yuan, A D'Ariano, G Guo, Y Liu… - Computers & Industrial …, 2024 - Elsevier
Dynamic task allocation poses a complex and challenging decision problem for automated
guided vehicles operating within warehouse environments. In this study, we investigate a …

Research on flexible job shop scheduling problem with AGV using double DQN

M Yuan, L Zheng, H Huang, K Zhou, F Pei… - Journal of Intelligent …, 2023 - Springer
In the context of Industry 4.0 and intelligent manufacturing, AGVs are widely used in flexible
job shop resource transportation, which sharply increases the uncertainty and complexity of …

Advanced, innovative AIoT and edge computing for unmanned vehicle systems in factories

YH Kuo, EHK Wu - Electronics, 2023 - mdpi.com
Post-COVID-19, there are frequent manpower shortages across industries. Many factories
pursuing future technologies are actively developing smart factories and introducing …

A review of recent advances, techniques, and control algorithms for automated guided vehicle systems

A Bhargava, M Suhaib, AS Singholi - Journal of the Brazilian Society of …, 2024 - Springer
Autonomy offers significant advantages for mobile robots by eliminating the need for human
operators, thereby enhancing safety and cost-effectiveness. Path planning is an essential …

BDE-Jaya: A binary discrete enhanced Jaya algorithm for multiple automated guided vehicle scheduling problem in matrix manufacturing workshop

H Chi, HY Sang, B Zhang, P Duan, WQ Zou - Swarm and Evolutionary …, 2024 - Elsevier
With the advent of" Industry 4.0", more matrix manufacturing workshops have adopted
automated guided vehicle (AGV) for material handling. AGV transportation has become a …

Improved decentralized cooperative multi-agent path finding for robots with limited communication

A Maoudj, AL Christensen - Swarm Intelligence, 2024 - Springer
Multi-agent path finding (MAPF) holds significant practical relevance in numerous real-world
applications involving fleets of mobile robots. The efficiency of such systems is directly …

Towards sustainable scheduling of a multi-automated guided vehicle system for collision avoidance

TP Nguyen, H Nguyen, HQT Ngo - Computers and Electrical Engineering, 2024 - Elsevier
In previous studies, the behaviour of each vehicle is assumed to be constant in all situations.
However, this assumption is unreasonable, as physical factors—such as load conditions or …