第 14 屆鐵人賽獲得

第 15 屆鐵人賽獲得 優選

第 16 屆鐵人賽獲得 冠軍

實驗室研究助理，參與過的計畫有：

1. 人工智慧演算法應用於仿生機器人極限動作增強策略之發展
2. Taiwan Bot：人機協作之智慧人形機器人系統-子計畫三：智慧型協作人形機器人動作規劃系統之開發(I)

研究興趣：

• 人工智慧-深度學習-生成對抗網路、擴散模型
• 強化學習-應用於機器人、無人機控制
• 優化算法-用於類神經網路最佳化、強化學習訓練環境最佳化

Journal Paper：

1. P.-H. Kuo, K.-L. Chen, “Two-Stage Fuzzy Object Grasping Controller for a Humanoid Robot with Proximal Policy Optimization,” Engineering Applications of Artificial Intelligence, Vol. 125, pp. 106694, 2023. (SCI, IF=8.0, 7/65, Q1, Top 10% in Automation & Control Systems Category) [Paper]
2. P.-H. Kuo, J. Hu, K.-L. Chen, W.-H. Chang, X.-Y. Chen, C.-J. Huang, “Sequential Sensor Fusion–Based W-DDPG Gait Controller of Bipedal Robots for Adaptive Slope Walking,” Advanced Engineering Informatics, Vol. 57, pp. 102067, 2023. (SCI, IF=8.8, 4/90, Q1, Top 5% in Engineering, Multidisciplinary Category) [Paper]
3. P.-H. Kuo, W.-C. Yang, P.-W. Hsu, K.-L. Chen, “Intelligent Proximal-Policy-Optimization-Based Decision-Making System for Humanoid Robots,” Advanced Engineering Informatics, Vol. 56, pp. 102009, 2023. (SCI, IF=8.8, 4/90, Q1, Top 5% in Engineering, Multidisciplinary Category) [Paper]
4. C.-W.Jan, Y.-J.Chiu, K.-L.Chen, T.-C.Yao, andP.-H.Kuo, “Optical Based Gradient-Weighted Class Activation Mapping and Transfer Learning Integrated Pneumonia Prediction Model,” Comput. Syst. Sci. Eng., vol. 47, no. 3, pp. 2989–3010, 2023, doi: 10.32604/csse.2023.042078. [paper]

Conference：

1. P.-H. Kuo, J. Hu, K.-L. Chen, W.-H. Chang, X.-Y. Chen, C.-J. Huang, 2022 International Conference on Fuzzy Theory and Its Applications (iFuzzy 2022), “DDPG Based Gait Controller for Bipedal Robots”
2. K.-L. Chen, P.-Y. Yang, 2023 Conference on Information Technology and Application in Outlying Islands (ITAOI 2023), ”量子電路應用於類神經網路在資料分析之比較”
3. P.-H. Kuo, K.-L. Chen, 2023 International Automatic Control Conference (CACS 2023), “Deep Reinforcement Learning Based Controller for UAVs”
4. K.-L. Chen, P.-Y. Yang,2023 International Automatic Control Conference (CACS 2023), “Denoising Diffusion Implicit Models for Image Generation”