Papers
16
Total Citations
1,368
H-Index
11
About
Markus Ryll is a pioneering robotics researcher whose work spans aerial robotics, autonomous systems control, and human-robot interaction. His most influential contributions have fundamentally reshaped how unmanned aerial vehicles (UAVs) are designed and controlled, particularly through his groundbreaking work on overactuated and fully actuated aerial platforms. His 2014 paper introducing a novel overactuated quadrotor — demonstrating independent control of all six degrees of freedom — has accumulated nearly 400 citations and challenged long-standing assumptions about UAV mobility limitations. Building on this foundation, Ryll developed the "flying end-effector" paradigm for 6D physical interaction with aerial robots, work that has collectively attracted over 300 citations and opened new frontiers in aerial manipulation. Beyond hardware innovation, Ryll has made significant contributions to advanced control theory, including real-time neural model predictive control for agile platforms, and to multi-robot coordination through shared autonomy frameworks and bearing-based formation control. More recently, his research has expanded into human motion forecasting and robot perception, addressing safe navigation in human-inhabited environments. With his work spanning quadrotor architecture, time-optimal trajectory planning, and probabilistic motion prediction, Ryll has established himself as a versatile and highly impactful figure in modern autonomous systems research.
Research Focus
Key Achievements
Top Papers
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- 46D interaction control with aerial robots: The flying end-effector paradigm170 citations · 2019
- 56D physical interaction with a fully actuated aerial robot157 citations · 2017
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- 7Motron: Multimodal Probabilistic Human Motion Forecasting38 citations · 2022
- 8Robots That Can See: Leveraging Human Pose for Trajectory Prediction25 citations · 2023
- 9An Open-Source Hardware/Software Architecture for Quadrotor UAVs22 citations · 2013
- 10Towards Time-Optimal Tunnel-Following for Quadrotors18 citations · 2022