معرفی
Alexander von Rohr is a postdoctoral researcher at the Technical University of Munich, affiliated with the Learning Systems and Robotics Lab. Previously, he was a doctoral researcher at the Max Planck Institute for Intelligent Systems and RWTH Aachen University, supported by IAV. His educational background spans Computer Science (RWTH Aachen), Electrical Engineering (BHT Berlin), and University of Lübeck.
- Research Focus: Embodied AI, Bayesian optimization, risk-aware reinforcement learning, robust control, probabilistic models, data-driven controller synthesis.
His recent publications (2024-2025) emphasize event-triggered learning for time-varying systems, diffusion models with constraints, and robust safety via entropy regularization in RL. These works demonstrate applications in robot manipulators, digital twins, and underactuated systems. Awards include the Best Reviewer Award at AISTATS 2025. Collaborations include Prof. Sebastian Trimpe and Angela P. Schoellig, with co-authorships on 15 recent articles. His lab focuses on probabilistic control for dynamical systems with formal guarantees.
