Industry 4 (I4) was a revolutionary new stage for technological progress in manufacturing which promised a new level of interconnectedness between a diverse range of …
B Wu, W Zhang, X Chi, D Jiang, Y Yi, Y Lu - Sensors, 2023 - mdpi.com
The efficiency of the rapidly exploring random tree (RRT) falls short when efficiently guiding targets through constricted-passage environments, presenting issues such as sluggish …
This article aims to bring quantum computing to robotics. A quantum algorithm is developed to minimize the distance traveled in warehouses and distribution centers where order …
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 …
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 …
M Haouassi, Y Kergosien, JE Mendoza… - … Journal of Production …, 2024 - Taylor & Francis
Unlike conventional warehouses, where the inventory of an item is concentrated on a single shelf, the inventory in mixed-shelves warehouses is broken down into units and dispersed …
The thesis deals with Quantum Algorithms for solving Hard Constrained Optimization Problems. It shows how quantum computers can solve difficult everyday problems such as …
Multi-agent combinatorial optimization problems such as routing and scheduling have great practical relevance but present challenges due to their NP-hard combinatorial nature, hard …
L Luttmann, L Xie - Proceedings of the International Conference on …, 2024 - ojs.aaai.org
In recent years, machine learning (ML) models capable of solving combinatorial optimization (CO) problems have received a surge of attention. While early approaches failed to …