A digital twin-driven human-machine interactive assembly method based on lightweight multi-target detection and assembly feature generation-Reference-Cited by-同舟云学术

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A digital twin-driven human-machine interactive assembly method based on lightweight multi-target detection and assembly feature generation

Published:2024-05-28 Issue: Volume: Page:1-23
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Cheng Dinghao¹,Hu Bingtao¹,Feng Yixiong¹²,Yang Jiangxin¹,Wang Baicun¹,Gong Hao³,Tan Jianrong¹

Affiliation:

1. State Key Laboratory of Fluid Power Components and Mechatronic Systems, Zhejiang University, Hangzhou, People’s Republic of China

2. State Key Laboratory of Public Big Data, Guizhou University, Guiyang, People’s Republic of China

3. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, People’s Republic of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2024.2354853

Reference61 articles.

1. Development and analysis of a holistic function-driven adaptive assembly strategy applied to micro gears

2. A context-aware real-time human-robot collaborating reinforcement learning-based disassembly planning model under uncertainty

3. Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions

4. Generalizing the Hough transform to detect arbitrary shapes

5. The ontology-based modeling and evolution of digital twin for assembly workshop

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