李典儒老師率領葉沛珅與鄭淳哲同學，參加「2025 自動化科技國際研討會暨 113 年度自動化學門成果發表會」，發表多項智慧製造與積層製造相關研究成果，展現 SAM Lab 在自動化與人工智慧應用領域的研究能量。
Prof. Dian-Ru Li led Pei-Shen Yeh and Chun-Tse Cheng to participate in the 2025 International Conference on Automation Technology. They presented multiple research works in the fields of intelligent manufacturing and additive manufacturing, demonstrating the strong research capabilities of SAM Lab.
其中，葉沛珅同學發表之論文〈Deep Learning-Enabled Real-Time Process Monitoring and Error Correction in Robotic Additive Manufacturing〉聚焦於結合深度學習技術之機器人積層製造即時製程監測與錯誤修正方法，研究成果具備高度創新性與實務應用潛力，榮獲大會頒發 Best Presentation Award（第三名） 之肯定。
Pei-Shen Yeh presented the paper entitled “Deep Learning-Enabled Real-Time Process Monitoring and Error Correction in Robotic Additive Manufacturing”, which focuses on integrating deep learning techniques for real-time process monitoring and error correction in robotic additive manufacturing. The innovative research and practical applicability of this work were highly recognized, and it was awarded the Best Presentation Award (3rd Place).
此外，鄭淳哲同學發表之論文
〈Real-Time Process Parameter Prediction and Optimization in Photopolymer Additive Manufacturing via Machine Learning〉探討以機器學習技術進行光固化積層製造製程參數即時預測與最佳化，為智慧化製造流程提供有效解決方案，充分展現研究深度與技術應用價值。
In addition, Chun-Tse Cheng presented the paper entitled “Real-Time Process Parameter Prediction and Optimization in Photopolymer Additive Manufacturing via Machine Learning”, which explores the use of machine learning methods to achieve real-time prediction and optimization of process parameters in photopolymer additive manufacturing. The study provides effective solutions for the advancement of intelligent manufacturing processes.
本次研討會的參與與獲獎，不僅肯定師生研究成果，也展現 SAM Lab 在智慧製造與積層製造領域之持續投入與學術影響力。
Participation in this international conference and the achievement of the award highlight the continuous efforts and academic impact of SAM Lab in the fields of intelligent automation and additive manufacturing.