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20182026
most citedRadar Meets Vision: Robustifying Monocular Metric Depth Prediction for Mobile Robotics

1 citations · 1 across the 5 of their papers we have counts for

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cs.RO2026

Depth Completion in Unseen Field Robotics Environments Using Extremely Sparse Depth Measurements

Marco Job, Thomas Stastny, Eleni Kelasidi +2

Autonomous field robots operating in unstructured environments require robust perception to ensure safe and reliable operations. Recent advances in monocular depth estimation have…

cs.RO2025

Safe Periodic Trochoidal Paths for Fixed-Wing UAVs in Confined Windy Environments

Jaeyoung Lim, David Rohr, Thomas Stastny +1

Due to their energy-efficient flight characteristics, fixed-wing type UAVs are useful robotic tools for long-range and duration flight applications in large-scale environments. How…

cs.RO2024

Allocation for Omnidirectional Aerial Robots: Incorporating Power Dynamics

Eugenio Cuniato, Mike Allenspach, Thomas Stastny +3

Tilt-rotor aerial robots are more dynamic and versatile than fixed-rotor platforms, since the thrust vector and body orientation are decoupled. However, the coordination of servos…

cs.RO2024★ 1 cited

Radar Meets Vision: Robustifying Monocular Metric Depth Prediction for Mobile Robotics

Marco Job, Thomas Stastny, Tim Kazik +2

Mobile robots require accurate and robust depth measurements to understand and interact with the environment. While existing sensing modalities address this problem to some extent,…

cs.RO2023

Soliro -- a hybrid dynamic tilt-wing aerial manipulator with minimal actuators

Michael Pantic, Elias Hampp, Ramon Flammer +4

The ability to enter in contact with and manipulate physical objects with a flying robot enables many novel applications, such as contact inspection, painting, drilling, and sample…

cs.RO2019

Long-Duration Fully Autonomous Operation of Rotorcraft Unmanned Aerial Systems for Remote-Sensing Data Acquisition

Danylo Malyuta, Christian Brommer, Daniel Hentzen +3

Recent applications of unmanned aerial systems (UAS) to precision agriculture have shown increased ease and efficiency in data collection at precise remote locations. However, furt…