Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference71 articles.
1. Adamson, G., Wang, L., Holm, M., & Moore, P. (2015). Adaptive robot control as a service in cloud manufacturing. In International Manufacturing Science and Engineering Conference (Vol. 56833, p. V002T04A020). American Society of Mechanical Engineers.
2. Agrawal, A., Won, S. J., Sharma, T., Deshpande, M., & McComb, C. (2021). A multi-agent reinforcement learning framework for intelligent manufacturing with autonomous mobile robots. Proceedings of the Design Society, 1, 161–170.
3. Aheleroff, S., Zhong, R. Y., & Xu, X. (2020). A digital twin reference for mass personalization in industry 4.0. Procedia Cirp, 93, 228–233.
4. Anschel, O., Baram, N., & Shimkin, N. (2017). Averaged-dqn: Variance reduction and stabilization for deep reinforcement learning. International Conference on Machine Learning, pp. 176–185.
5. Bellgran, M., & Säfsten, K. (2010). Production development over time (pp. 1–36). Springer.