Marcin Odelga

University of Tübingen, Max Planck Institute for Biological Cybernetics

Papers

Total Citations

156

H-Index

About

Marcin Odelga is a leading researcher in autonomous aerial robotics, specializing in multirotor unmanned aerial vehicles (UAVs) and their safe, coordinated operation in GPS-denied environments. His work centers on three critical challenges: obstacle detection and avoidance for teleoperated UAVs, distributed formation control for multi-robot systems, and hardware-in-the-loop simulation frameworks. Odelga’s most influential contribution is a collision-free indoor navigation algorithm for teleoperated UAVs, which enables real-time obstacle tracking and avoidance in cluttered spaces—a foundational paper with 66 citations. He also developed a distributed control algorithm that asymptotically stabilizes groups of multirotor UAVs into prescribed formation shapes, experimentally verified and cited 65 times. To bridge simulation and reality, Odelga created a multi-UAV hardware-in-the-loop setup using Gazebo and onboard embedded computers, allowing robust testing before deployment. His self-contained teleoperated quadrotor system, featuring on-board state estimation and indoor obstacle avoidance without GPS, further demonstrates his commitment to practical, deployable solutions. With over 150 total citations, Odelga’s work has significantly advanced the reliability and autonomy of multi-UAV systems for indoor and obstacle-rich environments.