Scholar
Hao Ma
Google Scholar ID: VaW-jokAAAAJ
ETH Zurich / Max Planck Institute for Intelligent Systems
Citations & Impact
Citations
55
H-index
4
i10-index
3
Publications
10
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Presented a contributed talk titled 'Provably Efficient Online Learning in Real-World Cyber-Physical and Robotic Systems' at EWRL 2025 on September 17, 2025.
- - Demo proposal 'CRS – An Open-Source, Low-Cost, and Modular Platform for Robot Learning Research' accepted at CoRL 2025 in September 2025.
- - Paper 'CRS: An Open-Source, Low-Cost, and Modular Platform for Robot Learning Research' accepted at the Open-Source Hardware in Robot Learning Workshop at CoRL 2025 in September 2025.
- - Paper 'Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing' accepted at CoRL 2025 in August 2025.
- - Paper 'Constraint-Aware Diffusion Guidance for Imitation Learning' accepted at EWRL 2025 in July 2025.
- - Paper 'Online Optimization of Closed-Loop Control Systems' accepted at EWRL 2025 in July 2025.
Research Experience
- Conducting research at the Max Planck Institute for Intelligent Systems and ETH Zurich, focusing on the integration of machine learning and control theory.
Education
- PhD student at IDSC, ETH Zurich, jointly affiliated with the Max Planck Institute for Intelligent Systems (MPI-IS). Advised by Dr. Michael Muehlebach at MPI-IS and Prof. Melanie Zeilinger at ETH Zurich.
Background
- Research interests lie in the intersection of machine learning and control theory, aiming to develop a new framework to understand key properties such as stability, convergence, and robustness in machine learning algorithms. Additionally, interested in diffusion models and large language models, exploring their potential in advancing both theoretical understanding and practical applications in robotics and autonomous systems.
Co-authors