Digital twins: A survey on enabling technologies, challenges, trends and future prospects

S Mihai, M Yaqoob, DV Hung, W Davis… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is an emerging technology surrounded by many promises, and potentials
to reshape the future of industries and society overall. A DT is a system-of-systems which …

[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

[HTML][HTML] Digital twin of a city: Review of technology serving city needs

VV Lehtola, M Koeva, SO Elberink, P Raposo… - International Journal of …, 2022 - Elsevier
Digital twins (DTs) have been found useful in manufacturing, construction, and maintenance.
Adapting DTs to serve cities, the question arises of what an urban digital twin should contain …

Soft robotic perception system with ultrasonic auto-positioning and multimodal sensory intelligence

Q Shi, Z Sun, X Le, J Xie, C Lee - ACS nano, 2023 - ACS Publications
Flexible electronics such as tactile cognitive sensors have been broadly adopted in soft
robotic manipulators to enable human-skin-mimetic perception. To achieve appropriate …

[HTML][HTML] A deep learning-enhanced Digital Twin framework for improving safety and reliability in human–robot collaborative manufacturing

S Wang, J Zhang, P Wang, J Law, R Calinescu… - Robotics and computer …, 2024 - Elsevier
Abstract In Industry 5.0, Digital Twins bring in flexibility and efficiency for smart
manufacturing. Recently, the success of artificial intelligence techniques such as deep …

Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation

Z Huang, M Fey, C Liu, E Beysel, X Xu… - Robotics and Computer …, 2023 - Elsevier
Digital twin (DT) and artificial intelligence (AI) technologies are powerful enablers for
Industry 4.0 toward sustainable resilient manufacturing. Digital twins of machine tools and …

Digital twin for urban planning in the green deal era: A state of the art and future perspectives

G Caprari, G Castelli, M Montuori, M Camardelli… - Sustainability, 2022 - mdpi.com
This paper provides a state of the art of contemporary Digital Twins (DTs) projects for urban
planning at an international level. The contribution investigates the evolution of the DT …

Human-centric digital twins in industry: A comprehensive review of enabling technologies and implementation strategies

U Asad, M Khan, A Khalid, WA Lughmani - Sensors, 2023 - mdpi.com
The last decade saw the emergence of highly autonomous, flexible, re-configurable Cyber-
Physical Systems. Research in this domain has been enhanced by the use of high-fidelity …

Edge AI and blockchain for smart sustainable cities: promise and potential

E Badidi - Sustainability, 2022 - mdpi.com
Modern cities worldwide are undergoing radical changes to foster a clean, sustainable and
secure environment, install smart infrastructures, deliver intelligent services to residents, and …

[HTML][HTML] Digital twin for human-robot collaboration enhancement in manufacturing systems: Literature review and direction for future developments

A Baratta, A Cimino, F Longo, L Nicoletti - Computers & Industrial …, 2023 - Elsevier
The integration of robots in manufacturing systems known as Human Robot Collaboration
(HRC) can provide relevant opportunities in terms of productivity, safety and quality control …