Manufacturing big data ecosystem: A systematic literature review

Y Cui, S Kara, KC Chan - Robotics and computer-integrated Manufacturing, 2020 - Elsevier
Advanced manufacturing is one of the core national strategies in the US (AMP), Germany
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …

[HTML][HTML] Data analytics and machine learning for smart process manufacturing: Recent advances and perspectives in the big data era

C Shang, F You - Engineering, 2019 - Elsevier
Safe, efficient, and sustainable operations and control are primary objectives in industrial
manufacturing processes. State-of-the-art technologies heavily rely on human intervention …

Digital transformation of manufacturing through cloud services and resource virtualization

T Borangiu, D Trentesaux, A Thomas, P Leitão… - Computers in …, 2019 - Elsevier
This editorial introduces the special issue in the Elsevier journal Computers in Industry that
analyses how the digital transformation of manufacturing is speeded up by two important …

Industry 4.0: contributions of holonic manufacturing control architectures and future challenges

W Derigent, O Cardin, D Trentesaux - Journal of Intelligent Manufacturing, 2021 - Springer
The flexibility claimed by the next generation production systems induces a deep
modification of the behaviour and the core itself of the control systems. Over-connectivity and …

Comparison of LSTM, Transformers, and MLP-mixer neural networks for gaze based human intention prediction

J Pettersson, P Falkman - Frontiers in Neurorobotics, 2023 - frontiersin.org
Collaborative robots have gained popularity in industries, providing flexibility and increased
productivity for complex tasks. However, their ability to interact with humans and adapt to …

[PDF][PDF] Digital transformation of manufacturing. Industry of the future with cyber-physical production systems

T Borangiu, O Morariu, S Răileanu… - Romanian journal of …, 2020 - novaresearch.unl.pt
This paper analyses the main research direction for the digital transformation of
manufacturing and its important drivers: cloud services and resource virtualization that have …

Edge computing in industrial IoT framework for cloud-based manufacturing control

S Raileanu, T Borangiu, O Morariu… - 2018 22nd International …, 2018 - ieeexplore.ieee.org
Edge computing is essential for the Industrial IoT as framework for data acquisition from
shop floor devices; distributed intelligence will shift to the edge for speed reasons in real …

Intended human arm movement direction prediction using eye tracking

J Pettersson, P Falkman - International Journal of Computer …, 2024 - Taylor & Francis
Collaborative robots are becoming increasingly popular in industries, providing flexibility
and increased productivity for complex tasks. However, the robots are still not interactive …

Human movement direction classification using virtual reality and eye tracking

J Pettersson, P Falkman - Procedia Manufacturing, 2020 - Elsevier
Collaborative robots are becoming increasingly more popular in industries, providing
flexibility and increased productivity for complex tasks. However, the robots are not yet that …

Human movement direction prediction using virtual reality and eye tracking

J Pettersson, P Falkman - 2021 22nd IEEE international …, 2021 - ieeexplore.ieee.org
One way of potentially improving the use of robots in a collaborative environment is through
prediction of human intention that would give the robots insight into how the operators are …