About me

I am currently a PhD student in the ITR Lab at TUM, supervised by Prof. Sandra Hirche, and a member of RelAI. My research focuses on the intersection of generative models and control theory for robotic systems. Previously, I worked as an R&D engineer at Syntec Technology, developing trajectory planning algorithms.

News

Publications

  • SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning
    Tzu-Yuan Huang, Armin Lederer, Dai-Jie Wu, Xiaobing Dai, Sihua Zhang, Stefan Sosnowski, Shao-Hua Sun, Sandra Hirche
    ICLR, 2026 (under review).
    [Paper]

  • Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models
    Tzu-Yuan Huang*, Armin Lederer*, Nicolas Hoischen, Jan BrĂ¼digam, Xuehua Xiao, Stefan Sosnowski, Sandra Hirche
    Learning for Dynamics & Control Conference (L4DC), 2024.
    Oral Presentation.
    Nominated for the Best Paper Award.
    [Paper]

  • Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions
    Tzu-Yuan Huang, Sihua Zhang, Xiaobing Dai, Alexandre Capone, Velimir Todorovski, Stefan Sosnowski, Sandra Hirche
    IEEE Control System Letters, 2024
    [Paper]

  • Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems
    Sihua Zhang, Di-Hua Zhai, Xiaobing Dai, Tzu-Yuan Huang, Yuanqing Xia, Sandra Hirche
    63rd IEEE Conference on Decision and Control (CDC), 2024
    [Paper]

  • A Rapid Base Parameter Physical Feasibility Test Algorithm for Industrial Robot Manipulator Identification Using a Recurrent Neural Network
    Hao-Lun Huang, Ming-Yang Cheng, Tzu-Yuan Huang
    IEEE Access, 2023
    [Paper]

  • On the Relationship between the Desired Feedrate and Contour Error Constraints for 2-DOF Robot Manipulators Performing Parametric Curve Following
    Jun Loong Wong, Ming-Yang Cheng, Tzu-Yuan Huang, Jou-Cheng Kuo, Jia-Ming Wu
    International Automatic Control Conference (CACS), 2023
    [Paper]