Digital Twins of Robotic Systems: Increasing Capability for Industrial Applications

Author:

Anh Tran Tuan,Tan Nguyen Thanh,Le Dinh Than,Hieu Le Chi,Mahmud Jamaluddin,Latif M. J. A.,Quang Nguyen Ho

Publisher

Springer Nature Singapore

Reference22 articles.

1. Wu, Y., Zhang, K., & Zhang, Y. (2021). Digital twin networks: A survey. IEEE Internet of Things Journal, 8(18), 13789–13804.

2. Lim, K. Y. H., Zheng, P., & Chen, C.-H. (2020). A state-of-the-art survey of digital twin: Techniques, engineering product lifecycle management and business innovation perspectives. Journal of Intelligent Manufacturing, 31, 1313–1337.

3. Russell, S., & Norvig, P. (2010). Artificial intelligence: A modern approach (3rd edn.). Prentice Hall.

4. Bishop, C. M. (2006). Pattern recognition and machine learning (information science and statistics). Springer-Verlag.

5. Goodfellow, I., Bengio, Y., Courville, A. (2016). Deep learning. MIT Press. http://www.deeplearningbook.org

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