Zewen Yang
AI Researcher | Robotic Control Engineer
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! 🚀 |
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| 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
- IEEE/CAA JASQuality or Quantity? Error-Informed Selective Online Learning with Gaussian Processes in Multi-Agent SystemsIEEE/CAA Journal of Automatica Sinica, 2026Impact factor: 19.2, JCR: Q1
- ICRARCM Constraint-Consistent Dynamic Control in Surgical RobotsIn Proceedings of the IEEE International Conference on Robotics and Automation, 2026Oral presentation (top 1% in submissions)
- EAAISafe event-triggered control of unmanned surface vehicles with Gaussian processes: Resilience in denial of service attacks and uncertain dynamicsEngineering Applications of Artificial Intelligence, 2025Impact factor: 9.0, JCR: Q1
- AAAIStreaming Generated Gaussian Process Experts for Online Learning and ControlIn Proceedings of the AAAI Conference on Artificial Intelligence, Mar 2026Oral presentation (acceptance rate 17.6%)
- AAAIAsynchronous Distributed Gaussian Process RegressionIn Proceedings of the AAAI Conference on Artificial Intelligence, Apr 2025Poster presentation (acceptance rate 23.4%)
- IEEE TNNLSCooperative Online Learning for Multiagent System Control via Gaussian Processes With Event-Triggered MechanismIEEE Transactions on Neural Networks and Learning Systems, 2025Impact factor: 9.7, JCR: Q1
- IEEE JSTSPMachine Learning based Controller using Gaussian Process Regression in Electric Motors: Interpretability, Safety and ReliabilityIEEE Journal of Selected Topics in Signal Processing, 2026Impact factor: 13.7, JCR: Q1
- IEEE/ASME TMECHTorque-Induced-Overshoot Reduction Inspired Compensator for PMSMs Using Motor-Physics Embedded Gaussian Process RegressionIEEE/ASME Transactions on Mechatronics, 2025Impact factor: 6.3, JCR: Q1
- IEEE TACCooperative Control of Uncertain Multiagent Systems via Distributed Gaussian ProcessesIEEE Transactions on Automatic Control, 2023Impact factor: 7.0, JCR: Q1
- AAMASWhom to Trust? Elective Learning for Distributed Gaussian Process RegressionIn Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Auckland, New Zealand, 2024Oral presentation (acceptance rate: 23.4%)
- ACCCooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control Under Switching TopologiesIn 2024 American Control Conference (ACC), 2024Oral presentation
- CDCDistributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian ProcessesIn 2021 60th IEEE Conference on Decision and Control (CDC), 2021Oral presentation
- OEVirtual leader based path tracking control for Multi-UUV considering sampled-data delays and packet lossesOcean Engineering, 2020Impact factor: 6.3, JCR: Q1
- OEDiscrete-time coordinated control of leader-following multiple AUVs under switching topologies and communication delaysOcean Engineering, 2019Impact factor: 6.3, JCR: Q1