Zewen Yang

AI Researcher | Robotic Control Engineer

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I am a Senior Research Scientist at Agile Robots in Munich, working on agentic frameworks and world models for robotic manipulation.

Previously, I was a postdoctoral researcher at the Munich Institute of Robotics and Machine Intelligence (MIRMI), supervised by Prof. Sami Haddadin and Dr. Hamid Sadeghian. Before that, in the aftermath of the pandemic, I joined the Robert Koch Institute as a postdoctoral researcher, working on AI for public health research. I did my Ph.D. research in Control Science & Engineering at the Technical University of Munich and Harbin Engineering University, where I was supervised by Prof. Sandra Hirche and Prof. Zheping Yan and worked closely with Dr. Stefan Sosnowski.

My work lies at the intersection of Machine Learning and Robotics, driven by a strong interest in machine intelligence and the emerging technologies that make everyday life better and work more efficient. I enjoy moving between building methods that hold up in the real world and exploring the deeper scientific questions behind them. I also care deeply about education and research, and find it especially rewarding to work alongside passionate people and ambitious students, growing together with them.

I am always glad to connect with others who share these interests, whether for collaboration, projects, research, or simply a good conversation. Feel free to reach out.

News

Jun 17, 2026 Two of our papers have been accepted to IROS 2026! 🚀
May 15, 2026 Our paper RCM Constraint-Consistent Dynamic Control in Surgical Robots has been selected as a finalist for the Best Paper Award in Medical Robotics at ICRA 2026! 🏆 (see the award finalists)
Apr 16, 2026 Our paper Residual Reinforcement Learning for Robot Teleoperation under Stochastic Delays has been accepted to the IFAC World Congress 2026! 🎉

Blog

Selected publications

  1. IEEE/CAA JAS
    Quality or Quantity? Error-Informed Selective Online Learning with Gaussian Processes in Multi-Agent Systems
    Zewen Yang, Xiaobing Dai, Jiajun Cheng, Yulong Huang, and Peng Shi
    IEEE/CAA Journal of Automatica Sinica, 2026
    Impact factor: 19.2, JCR: Q1
  2. ICRA
    RCM Constraint-Consistent Dynamic Control in Surgical Robots
    Yu Li, Hamid Sadeghian, Zewen Yang, Valentin Le Mesle, and Sami Haddadin
    In Proceedings of the IEEE International Conference on Robotics and Automation, 2026
    Oral presentation (top 1% in submissions)
  3. EAAI
    Safe event-triggered control of unmanned surface vehicles with Gaussian processes: Resilience in denial of service attacks and uncertain dynamics
    Zewen Yang, Xiaobing Dai, Liang Fang, Jiajia Zhou, and Zheping Yan
    Engineering Applications of Artificial Intelligence, 2025
    Impact factor: 9.0, JCR: Q1
  4. AAAI
    Streaming Generated Gaussian Process Experts for Online Learning and Control
    Zewen Yang, Dongfa Zhang, Xiaobing Dai, Fengyi Yu, Chi Zhang, Bingkun Huang, Hamid Sadeghian, and Sami Haddadin
    In Proceedings of the AAAI Conference on Artificial Intelligence, Mar 2026
    Oral presentation (acceptance rate 17.6%)
  5. AAAI
    Asynchronous Distributed Gaussian Process Regression
    Zewen Yang, Xiaobing Dai, and Sandra Hirche
    In Proceedings of the AAAI Conference on Artificial Intelligence, Apr 2025
    Poster presentation (acceptance rate 23.4%)
  6. IEEE TNNLS
    Cooperative Online Learning for Multiagent System Control via Gaussian Processes With Event-Triggered Mechanism
    Xiaobing Dai, Zewen Yang, Sihua Zhang, Di-Hua Zhai, Yuanqing Xia, and Sandra Hirche
    IEEE Transactions on Neural Networks and Learning Systems, 2025
    Impact factor: 9.7, JCR: Q1
  7. IEEE JSTSP
    Machine Learning based Controller using Gaussian Process Regression in Electric Motors: Interpretability, Safety and Reliability
    Zhenxiao Yin, Xiaobing Dai, Zewen Yang, Dianxun Xiao, Filippo Menolascina, Sandra Hirche, and Hang Zhao
    IEEE Journal of Selected Topics in Signal Processing, 2026
    Impact factor: 13.7, JCR: Q1
  8. IEEE/ASME TMECH
    Torque-Induced-Overshoot Reduction Inspired Compensator for PMSMs Using Motor-Physics Embedded Gaussian Process Regression
    Zhenxiao Yin, Xiaobing Dai, Zewen Yang, Yang Shen, Fang Li, Dianxun Xiao, and Hang Zhao
    IEEE/ASME Transactions on Mechatronics, 2025
    Impact factor: 6.3, JCR: Q1
  9. IEEE TAC
    Cooperative Control of Uncertain Multiagent Systems via Distributed Gaussian Processes
    Armin Lederer, Zewen Yang, Junjie Jiao, and Sandra Hirche
    IEEE Transactions on Automatic Control, 2023
    Impact factor: 7.0, JCR: Q1
  10. AAMAS
    Whom to Trust? Elective Learning for Distributed Gaussian Process Regression
    Zewen Yang, Xiaobing Dai, Akshat Dubey, Sandra Hirche, and Georges Hattab
    In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Auckland, New Zealand, 2024
    Oral presentation (acceptance rate: 23.4%)
  11. ACC
    Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control Under Switching Topologies
    Zewen Yang, Songbo Dong, Armin Lederer, Xiaobing Dai, Siyu Chen, Stefan Sosnowski, Georges Hattab, and Sandra Hirche
    In 2024 American Control Conference (ACC), 2024
    Oral presentation
  12. CDC
    Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes
    Zewen Yang, Stefan Sosnowski, Qingchen Liu, Junjie Jiao, Armin Lederer, and Sandra Hirche
    In 2021 60th IEEE Conference on Decision and Control (CDC), 2021
    Oral presentation
  13. OE
    Virtual leader based path tracking control for Multi-UUV considering sampled-data delays and packet losses
    Zheping Yan, Zewen Yang, Xiaoli Pan, Jiajia Zhou, and Di Wu
    Ocean Engineering, 2020
    Impact factor: 6.3, JCR: Q1
  14. OE
    Discrete-time coordinated control of leader-following multiple AUVs under switching topologies and communication delays
    Zheping Yan, Zewen Yang, Lidong Yue, Lu Wang, Heming Jia, and Jiajia Zhou
    Ocean Engineering, 2019
    Impact factor: 6.3, JCR: Q1