Safe autonomy of hybrid VTOL UAVs

KU Leuven is an autonomous university. It was founded in 1425. It was born of and has grown within the Catholic tradition.

The Mechatronics Group (M-Group) at KU Leuven Bruges Campus is an interdisciplinary research team combining expertise from the Departments of Mechanical, Electrical, and Computer Engineering. One of its core research tracks focuses on intelligent mechatronic systems for real-world robotic applications. This PhD position targets the safe autonomy of hybrid VTOL unmanned aerial vehicles (UAVs), advancing fault-tolerant flight control, robust state estimation, safety-aware planning, and runtime assurance for reliable operation beyond visual line of sight. The successful candidate will be offered the opportunity to pursue a PhD in Mechanical Engineering at KU Leuven, and will also be embedded within the Robotics, Automation and Mechatronics (RAM) division (https://www.mech.kuleuven.be/en/ram), which pursues excellence in an explicit and synergistic combination of fundamental and applied research on robotic, autonomous and mechatronic systems. Doctoral training is provided in the framework of the Leuven Arenberg Doctoral School (https://set.kuleuven.be/phd). The PhD will be supervised by Prof. Jolan Wauters.

Project

Despite these advances, the widespread deployment of hybrid VTOL UAVs remains constrained by the vulnerability of the hover-to-cruise transition to disturbances and actuator degradation, state estimation that deteriorates in GNSS-degraded or -denied conditions, planning frameworks that lack explicit risk awareness and contingency management, and a persistent dependence on human supervision. These limitations stand in the way of safe, certifiable operations beyond visual line of sight (BVLOS), as envisioned by emerging regulatory frameworks such as EASA's Specific Operations Risk Assessment (SORA) and the European U-space ecosystem.

This project outlines the conceptual and technical foundations for safe autonomy of hybrid VTOL UAVs, addressing these limitations through fault-tolerant transition-aware control, resilient multi-sensor state estimation, risk
- and contingency-aware planning, and runtime assurance frameworks paving the way towards certifiable autonomy.

PhD Research Project

The objective of this PhD is to contribute to the safe autonomy of hybrid VTOL UAVs by advancing one or more of the following four research pillars:

• - Design and implementation of fault-tolerant, transition-aware flight control for hybrid VTOL platforms, ensuring flight envelope protection and graceful degradation under actuator faults, wind gusts, and icing across the full hover-transition-cruise regime.
• - Development of resilient state estimation through fusion of heterogeneous sensor modalities (IMU, GNSS, airspeed, vision, LiDAR), providing reliable localization and integrity monitoring in GNSS-degraded or -denied environments.
• - Development of risk
  - and contingency-aware mission planning, including safety-aware path planning over populated areas, emergency landing site selection, geofencing, and reactive avoidance of static and dynamic obstacles.
• - Development of runtime assurance and verification frameworks, combining online safety monitoring, formally bounded fallback behaviours, and certification-oriented evidence generation aligned with SORA and U-space requirements, reducing reliance on human supervision.

Validation of the developed systems is planned in controlled lab settings (drone cage, motion capture, hardware-in-the-loop simulation, onboard computing) and in outdoor flight campaigns, with application domains including long-range infrastructure inspection (e.g. pipelines, power lines, wind farms), precision agriculture (e.g. crop monitoring over large fields), logistics and medical delivery, and dual-use scenarios (e.g. maritime patrol and search-and-rescue).

The research is supervised by Prof. Jolan Wauters within the framework of an individual project on safe autonomy of hybrid VTOL UAVs. It offers close collaboration with the RAM division of KU Leuven, university association partners, international research partners, and industry partners.

Profile

• - I hold a Master’s degree in Mechanical Engineering, Electrical Engineering, Mechatronic Engineering, Robotics, Control, Computer Science, Aerospace Engineering, or a related field, and have performed above average relative to my peers.
• - I am proficient in written and spoken English.
• - I have gathered experience with one or more of the following: aerial robotics, flight dynamics and control, state estimation and sensor fusion, fault detection and diagnosis, motion planning, or safety verification of autonomous systems. Prior experience with PX4/ArduPilot, ROS, MATLAB/Simulink, or embedded hardware is a plus.
• - I am proficient in Python and/or C++ and am familiar with simulation environments (e.g. Ga