[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 …

Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review

C Zhang, Z Wang, G Zhou, F Chang, D Ma… - Advanced Engineering …, 2023 - Elsevier
As businesses started to embrace Industry 4.0, along came the Fifth Industrial Revolution.
Industry 5.0 complements the existing Industry 4.0 paradigm for the not-too-distant future by …

Industry 5.0: Prospect and retrospect

J Leng, W Sha, B Wang, P Zheng, C Zhuang… - Journal of Manufacturing …, 2022 - Elsevier
Industry 5.0 blows the whistle on global industrial transformation. It aims to place humans'
well-being at the center of manufacturing systems, thereby achieving social goals beyond …

Interacting objects: A dataset of object-object interactions for richer dynamic scene representations

A Unmesh, R Jain, J Shi, VKC Manam… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Dynamic environments in factories, surgical robotics, and warehouses increasingly involve
humans, machines, robots, and various other objects such as tools, fixtures, conveyors, and …

A visual reasoning-based approach for driving experience improvement in the AR-assisted head-up displays

Y Liang, P Zheng, L **a - Advanced Engineering Informatics, 2023 - Elsevier
Enabled by advanced data analytics and intelligent computing, augmented reality head-up
displays (AR-HUDs) are appraised with a certain degree of intelligence towards an in-car …

[HTML][HTML] Self-organising multiple human–robot collaboration: A temporal subgraph reasoning-based method

S Li, P Zheng, S Pang, XV Wang, L Wang - Journal of Manufacturing …, 2023 - Elsevier
Abstract Multiple Human–Robot Collaboration (HRC) requires self-organising task
allocation to adapt to varying operation goals and workspace changes. However, nowadays …

Visual-triggered contextual guidance for lithium battery disassembly: A multi-modal event knowledge graph approach

H Zheng, S Liu, H Zhang, J Yu, J Bao - Journal of Engineering …, 2024 - Taylor & Francis
Lithium battery disassembly is a complex task that presents numerous challenges, including
the wide variety of battery types, intricate manufacturing processes, and the absence of …

Mutual-cognition for proactive human–robot collaboration: A mixed reality-enabled visual reasoning-based method

S Li, Y You, P Zheng, XV Wang, L Wang - IISE Transactions, 2024 - Taylor & Francis
Abstract Human-Robot Collaboration (HRC) is key to achieving the flexible automation
required by the mass personalization trend, especially towards human-centric intelligent …

A transfer reinforcement learning and digital-twin based task allocation method for human-robot collaboration assembly

J Wang, Y Yan, Y Hu, X Yang, L Zhang - Engineering Applications of …, 2025 - Elsevier
Currently, human-robot collaboration systems are considered to have great application
potential in complex and flexible assembly tasks. In human-robot collaborative assembly …

Sri-graph: A novel scene-robot interaction graph for robust scene understanding

D Yang, X Xu, M **ong, E Babaians… - … on Robotics and …, 2023 - ieeexplore.ieee.org
We propose a novel scene-robot interaction graph (SRI-Graph) that exploits the known
position of a mobile manipulator for robust and accurate scene understanding. Compared to …