activity
20222026
most citedHardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulations

4 citations · 5 across the 4 of their papers we have counts for

collaborators

4 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.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.RO2023

Thermal Vision for Soil Assessment in a Multipurpose Environmental Chamber under Martian Conditions towards Robot Navigation

Raul Castilla-Arquillo, Anthony Mandow, Carlos J. Perez-del-Pulgar +3

Soil assessment is important for mobile robot planning and navigation on natural and planetary environments. Terramechanic characteristics can be inferred from the thermal behaviou…

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…