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

28 citations · 48 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

PRISM: Multimodal Terrain Mapping for Rover Navigation in Unstructured Environments

Raul Castilla-Arquillo, Carlos Perez-del-Pulgar, Levin Gerdes +2

Robotic navigation in unstructured environments requires robust situational awareness to safely traverse hazards such as steep slopes and rocky terrain. To address this challenge,…

cs.RO2026

High-fidelity 3D reconstruction for planetary exploration

Alfonso Martínez-Petersen, Levin Gerdes, David Rodríguez-Martínez +1

Planetary exploration increasingly relies on autonomous robotic systems capable of perceiving, interpreting, and reconstructing their surroundings in the absence of global position…

cs.RO2025★ 1 cited

OmniUnet: A Multimodal Network for Unstructured Terrain Segmentation on Planetary Rovers Using RGB, Depth, and Thermal Imagery

Raul Castilla-Arquillo, Carlos Perez-del-Pulgar, Levin Gerdes +2

Robot navigation in unstructured environments requires multimodal perception systems that can support safe navigation. Multimodality enables the integration of complementary inform…

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.CV2022★ 4 cited

Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulations

Raúl Castilla-Arquillo, Carlos Jesús Pérez-del-Pulgar, Gonzalo Jesús Paz-Delgado +1

The goal of the Mars Sample Return campaign is to collect soil samples from the surface of Mars and return them to Earth for further study. The samples will be acquired and stored…

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★ 14 cited

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…