Ayham Alharbat

Ayham Alharbat is a Contract PhD Candidate in Robotics and Mechatronics and a Researcher at Saxion University of Applied Sciences since November 2021. His academic work focuses on aerial robotics systems, particularly unmanned aerial vehicles (UAVs) with physical interaction capabilities.

His research spans Robotics, Unmanned Aerial Vehicles, and Aerial Manipulation, emphasizing control systems, machine learning integration, and open-source software frameworks. Key contributions include nonlinear model predictive control for physical interaction, learned-model-based external wrench estimation, and reinforcement learning for disturbance rejection in flight systems.

Recent publications (2024-2025) demonstrate a trend toward practical implementation, highlighted by the open-source Sarax framework for aerial manipulators and data-driven approaches to force estimation. His 2022 foundational work established core paradigms for UAV physical interaction, evolving into current AI-enhanced control strategies addressing real-world challenges like environmental disturbances.