Friedrich M Rockenbauer — accepted AI-conference papers

2026

Towards Robust Optimization-Based Autonomous Dynamic Soaring With a Fixed-Wing UAV

Marvin Harms, Jaeyoung Lim, David Rohr, Friedrich M. Rockenbauer, Nicholas R. J. Lawrance, Roland Siegwart

RA-L 2026

Dynamic soaring is a flying technique to exploit the energy available in wind shear layers, enabling potentially unlimited flight without the need for internal energy sources. We propose a framework for autonomous dynamic soaring with a fixed-wing uncrewed aerial vehicle (UAV). The framework makes u

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2025

Traversing Mars: Cooperative Informative Path Planning to Efficiently Navigate Unknown Scenes

Friedrich M. Rockenbauer, Jaeyoung Lim, Marcus Gerhard Müller, Roland Siegwart, Lukas Schmid

RA-L 2025

The ability to traverse an unknown environment is crucial for autonomous robot operations. However, due to the limited sensing capabilities and system constraints, approaching this problem with a single robot agent can be slow, costly, and unsafe. For example, in planetary exploration missions, the

Cited by 7 Source ↗code ↗Scholar ↗

2022

Exploring Event Camera-Based Odometry for Planetary Robots

Florian Mahlknecht, Daniel Gehrig, Jeremy Nash, Friedrich M. Rockenbauer, Benjamin Morrell, Jeff Delaune +1

RA-L 2022

Due to their resilience to motion blur and high robustness in low-light and high dynamic range conditions, event cameras are poised to become enabling sensors for vision-based exploration on future Mars helicopter missions. However, existing event-based visual-inertial odometry (VIO) algorithms eith

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2021

Dipper: A Dynamically Transitioning Aerial-Aquatic Unmanned Vehicle

Friedrich M Rockenbauer

RSS 2021poster

The locomotion for many modern robotic systems is optimized for a single target domain - aerial; surface or underwater. In this work; we address the challenge of developing a robotic system capable of controlled motion in air and underwater. Further; we explore the particular challenge of dynamic tr…

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