Mutual-cognition for proactive human–robot collaboration: A mixed reality-enabled visual reasoning-based method-Reference-Cited by-同舟云学术

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

Published:2024-03-11 Issue:10 Volume:56 Page:1099-1111
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Li Shufei¹²^ORCID,You Yingchao³^ORCID,Zheng Pai¹^ORCID,Wang Xi Vincent²^ORCID,Wang Lihui²^ORCID

Affiliation:

1. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region

2. Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

3. School of Engineering, Cardiff University, UK

Funder

National Natural Science Foundation of China

Research Committee of The Hong Kong Polytechnic University

Collaborative Departmental General Research Fund

Hong Kong Polytechnic University, Hong Kong SAR, China and the EU H2020 ODIN project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2024.2313647

Reference43 articles.

1. Interactive Text2Pickup Networks for Natural Language-Based Human–Robot Collaboration

2. Progress and prospects of the human–robot collaboration

3. Robust human position estimation in cooperative robotic cells

4. Augmented reality technology in the manufacturing industry: A review of the last decade

5. Incorporating physical demand criteria into assembly line balancing

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Industrial Metaverse: A proactive human-robot collaboration perspective;Journal of Manufacturing Systems;2024-10

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