Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities

Z Jan, F Ahamed, W Mayer, N Patel… - Expert Systems with …, 2023 - Elsevier
Many industry sectors have been pursuing the adoption of Industry 4.0 (I4. 0) ideas and
technologies, which promise to realize lean and just-in-time production through digitization …

Robust assembly assistance using informed tree search with Markov chains

A Gellert, R Sorostinean, BC Pirvu - Sensors, 2022 - mdpi.com
Manual work accounts for one of the largest workgroups in the European manufacturing
sector, and improving the training capacity, quality, and speed brings significant competitive …

Assembly assistance system with decision trees and ensemble learning

R Sorostinean, A Gellert, BC Pirvu - Sensors, 2021 - mdpi.com
This paper presents different prediction methods based on decision tree and ensemble
learning to suggest possible next assembly steps. The predictor is designed to be a …

Real-time assembly support system with hidden markov model and hybrid extensions

A Gellert, SA Precup, A Matei, BC Pirvu, CB Zamfirescu - Mathematics, 2022 - mdpi.com
This paper presents a context-aware adaptive assembly assistance system meant to support
factory workers by embedding predictive capabilities. The research is focused on the …

Towards an assembly support system with dynamic bayesian network

SA Precup, A Gellert, A Matei, M Gita, CB Zamfirescu - Applied Sciences, 2022 - mdpi.com
Due to the new technological advancements and the adoption of Industry 4.0 concepts, the
manufacturing industry is now, more than ever, in a continuous transformation. This work …

Recognising Worker Intentions by Assembly Step Prediction

SA Precup, S Walunj, A Gellert… - 2023 IEEE 28th …, 2023 - ieeexplore.ieee.org
This paper presents a novel approach to recognize a worker's intentions for assistive
systems in manual assembly. Building on previous research, it introduces a process …

Towards a flexible smart factory with a dynamic resource orchestration

M Pisarić, V Dimitrieski, M Vještica, G Krajoski… - Applied Sciences, 2021 - mdpi.com
Amid the current industrial revolution, a total disruption of the existing production lines may
seem to be the easiest approach, as the potential possibilities seem limitless when starting …

Towards a Formal Specification of Human Worker for Industry 4.0

D Antanasijević, S Ristić, M Vieštica… - 2022 IEEE 16th …, 2022 - ieeexplore.ieee.org
Industry 4.0 aims to build open and intelligent manufacturing platforms in which humans,
machines, and other resources communicate with each other. Modeling techniques and …

[PDF][PDF] A Prototype of a Domain-Specific Modeling Language for Formal Specification of a Human Worker

D Antanasijević, S Ristić, M Vještica… - Acta Electrotechnica et …, 2023 - sciendo.com
The application of innovative technologies that foster smart production resources'
interconnectivity alongside the virtual space that facilities to support process simulation …

[PDF][PDF] Prediction-Based modeling and estimation in advanced computing systems

A Gellert - 2023 - webspace.ulbsibiu.ro
This habilitation thesis is a synopsis of the most important research achievements after the
PhD thesis in prediction-based modeling and estimation in topics like computer architecture …