[HTML][HTML] Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives

S Li, P Zheng, S Liu, Z Wang, XV Wang, L Zheng… - Robotics and Computer …, 2023 - Elsevier
Abstract Human–Robot Collaboration (HRC) has a pivotal role in smart manufacturing for
strict requirements of human-centricity, sustainability, and resilience. However, existing HRC …

Review of microsoft hololens applications over the past five years

S Park, S Bokijonov, Y Choi - Applied sciences, 2021 - mdpi.com
Since Microsoft HoloLens first appeared in 2016, HoloLens has been used in various
industries, over the past five years. This study aims to review academic papers on the …

AR-assisted digital twin-enabled robot collaborative manufacturing system with human-in-the-loop

C Li, P Zheng, S Li, Y Pang, CKM Lee - Robotics and Computer-Integrated …, 2022 - Elsevier
The teleoperation and coordination of multiple industrial robots play an important role in
today's industrial internet-based collaborative manufacturing systems. The user-friendly …

An integrated mixed reality system for safety-aware human-robot collaboration using deep learning and digital twin generation

SH Choi, KB Park, DH Roh, JY Lee… - Robotics and Computer …, 2022 - Elsevier
For human-robot collaboration (HRC), one of the most practical methods to ensure human
safety with a vision-based system is establishing a minimum safe distance. This study …

Head-mounted display augmented reality in manufacturing: A systematic review

W Fang, L Chen, T Zhang, C Chen, Z Teng… - Robotics and Computer …, 2023 - Elsevier
Head-mounted display (HMD) augmented reality (AR) has attracted more and more
attention in manufacturing activities, as it enables operators to access visual guidance in …

[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 …

Intelligent disassembly of electric-vehicle batteries: a forward-looking overview

K Meng, G Xu, X Peng, K Youcef-Toumi, J Li - … , Conservation and Recycling, 2022 - Elsevier
Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …

An AR-assisted Deep Reinforcement Learning-based approach towards mutual-cognitive safe human-robot interaction

C Li, P Zheng, Y Yin, YM Pang, S Huo - Robotics and Computer-Integrated …, 2023 - Elsevier
With the emergence of Industry 5.0, the human-centric manufacturing paradigm requires
manufacturing equipment (robots, etc.) interactively assist human workers to deal with …

Design and management of assembly systems 4.0: systematic literature review and research agenda

A Dolgui, F Sgarbossa, M Simonetto - International Journal of …, 2022 - Taylor & Francis
Assembly systems (ASs) have moved into the era of mass customisation and Industry 4.0 (I4.
0). Mass customisation involves a shift from the production of high quantities of the same …

Toward proactive human–robot collaborative assembly: A multimodal transfer-learning-enabled action prediction approach

S Li, P Zheng, J Fan, L Wang - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Human–robot collaborative assembly (HRCA) is vital for achieving high-level flexible
automation for mass personalization in today's smart factories. However, existing works in …