Gautier Hattenberger

Roche (Switzerland), École Nationale de l’Aviation Civile

Papers

Total Citations

H-Index

About

Gautier Hattenberger is a leading researcher in autonomous aerial robotics, with a primary focus on multi-UAV systems, sensor fusion, and environmental monitoring. His seminal work on "Decision Making in Multi-UAVs Systems: Architecture and Algorithms" (2007, 19 citations) established foundational frameworks for coordinating multiple drones, enabling them to make intelligent, autonomous decisions in complex, dynamic environments. Building on this, Hattenberger advanced state estimation by developing methods to "learn to combine multi-sensor information for context dependent state estimation" (2013, 5 citations), addressing the critical challenge of sensor redundancy by dynamically weighting measurements based on their validity. This innovation significantly improves the robustness of autonomous flight. Demonstrating the real-world application of his research, Hattenberger led the development of a simulation infrastructure for a fleet of drones designed to probe cumulus clouds (2017, 5 citations). This work integrates cloud mapping, adaptive sampling, and trajectory planning, showcasing how his algorithms enable scientific missions that were previously impossible. Through these contributions, Hattenberger has become a key figure in bridging theoretical multi-agent decision-making with practical, high-impact environmental sensing.