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20242026
most citedINSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators

13 citations · 13 across the 1 of their papers we have counts for

collaborators

5 papers

cs.RO202613 cited

INSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators

Christian Brommer, Alessandro Fornasier, Martin Scheiber +4

For real-world applications, autonomous mobile robotic platforms must be capable of navigating safely in a multitude of different and dynamic environments with accurate and robust…

cs.RO2025

Consistent Pose Estimation of Unmanned Ground Vehicles through Terrain-Aided Multi-Sensor Fusion on Geometric Manifolds

Alexander Raab, Stephan Weiss, Alessandro Fornasier +2

Aiming to enhance the consistency and thus long-term accuracy of Extended Kalman Filters for terrestrial vehicle localization, this paper introduces the Manifold Error State Extend…

cs.RO2025

Sensor Model Identification via Simultaneous Model Selection and State Variable Determination

Christian Brommer, Alessandro Fornasier, Jan Steinbrener +1

We present a method for the unattended gray-box identification of sensor models commonly used by localization algorithms in the field of robotics. The objective is to determine the…

cs.RO2025

Autonomous Control of Redundant Hydraulic Manipulator Using Reinforcement Learning with Action Feedback

Rohit Dhakate, Christian Brommer, Christoph Böhm +2

This article presents an entirely data-driven approach for autonomous control of redundant manipulators with hydraulic actuation. The approach only requires minimal system informat…

cs.RO2024

AIVIO: Closed-loop, Object-relative Navigation of UAVs with AI-aided Visual Inertial Odometry

Thomas Jantos, Martin Scheiber, Christian Brommer +3

Object-relative mobile robot navigation is essential for a variety of tasks, e.g. autonomous critical infrastructure inspection, but requires the capability to extract semantic inf…