activity
20192026
most citedReconstructing occluded Elevation Information in Terrain Maps with Self-supervised Learning

28 citations · 32 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Tether-Inertial Localization for Planetary Drones

Dielof van Loon, Anton Bredenbeck, Lennart Puck +2

Recent developments in planetary exploration have shown the potential of Unmanned Aerial Vehicles (UAVs), such as the Ingenuity helicopter that provided valuable mapping data. Howe…

cs.RO2024★ 1 cited

Field Assessment of Force Torque Sensors for Planetary Rover Navigation

Levin Gerdes, Carlos Pérez del Pulgar, Raúl Castilla Arquillo +1

Proprioceptive sensors on planetary rovers serve for state estimation and for understanding terrain and locomotion performance. While inertial measurement units (IMUs) are widely u…

cs.RO2022★ 3 cited

Multi-stage warm started optimal motion planning for over-actuated mobile platforms

G. J. Paz-Delgado, C. J. Pérez-del-Pulgar, M. Azkarate +2

This work presents a computationally lightweight motion planner for over-actuated platforms. For this purpose, a general state-space model for mobile platforms with several kinemat…

cs.RO2021★ 28 cited

Reconstructing occluded Elevation Information in Terrain Maps with Self-supervised Learning

Maximilian Stölzle, Takahiro Miki, Levin Gerdes +2

Accurate and complete terrain maps enhance the awareness of autonomous robots and enable safe and optimal path planning. Rocks and topography often create occlusions and lead to mi…

cs.RO2019

A GNC Architecture for Planetary Rovers with Autonomous Navigation Capabilities

Martin Azkarate, Levin Gerdes, Luc Joudrier +1

This paper proposes a Guidance, Navigation, and Control (GNC) architecture for planetary rovers targeting the conditions of upcoming Mars exploration missions such as Mars 2020 and…