3 papers
cs.RO2026
When Your State Estimator Has Lost The Plot: Detecting Estimator Failures Via Spectral Analysis
Christian Lanegger, Helen Oleynikova, Roland Siegwart +1
Reliable onboard state estimation is essential for safe robotic operation, yet unmodeled disturbances, such as sensor aliasing or out-of-distribution noise, still cause estimators…
cs.RO2026
BIEVR-LIO: Robust LiDAR-Inertial Odometry through Bump-Image-Enhanced Voxel Maps
Patrick Pfreundschuh, Turcan Tuna, Cedric Le Gentil +3
Reliable odometry is essential for mobile robots as they increasingly enter more challenging environments, which often contain little information to constrain point cloud registrat…
cs.RO2026
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…