Markus Ryll

Markus Ryll is a Professor at the Technical University of Munich (TUM), affiliated with the TUM School of Engineering and Design. His research focuses on autonomous aerial systems, particularly in the fields of robotics, UAVs, and control systems.

• University: Technical University of Munich
• School: TUM School of Engineering and Design
• Rank: Professor

Ryll’s work spans motion planning, SLAM (Simultaneous Localization and Mapping), geometric control, and energy-efficient trajectory generation. He has pioneered advancements in dual quaternion control, aerial manipulation with cable-suspended loads, and reactive navigation for UAVs in dynamic environments.

His recent publications highlight trends in differentiable motion planning, neural MPC (Model Predictive Control), and collision-free trajectory generation. These studies emphasize real-time optimization, geometric modeling, and sensor fusion for agile robotic systems.

Ryll’s research also integrates machine learning with classical control frameworks, enabling data-driven optimization for quadrotors and multirotor platforms. His work includes hardware/software architectures, morphing UAV designs, and fail-safe robustness in rotor failure scenarios.

While no specific awards or student advisories are listed here, Ryll’s contributions to autonomous aerial systems and compliant rover navigation underscore his leadership in robotics and aerospace engineering.