most citedToward Autonomous Cooperation in Heterogeneous Nanosatellite Constellations Using Dynamic Graph Neural Networks

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

collaborators

5 papers

cs.CV2026

Semantic Segmentation and Depth Estimation for Real-Time Lunar Surface Mapping Using 3D Gaussian Splatting

Guillem Casadesus Vila, Adam Dai, Grace Gao

Navigation and mapping on the lunar surface require robust perception under challenging conditions, including poorly textured environments, high-contrast lighting, and limited comp…

cs.RO2026

Full Stack Navigation, Mapping, and Planning for the Lunar Autonomy Challenge

Adam Dai, Asta Wu, Keidai Iiyama +4

We present a modular, full-stack autonomy system for lunar surface navigation and mapping developed for the Lunar Autonomy Challenge. Operating in a GNSS-denied, visually challengi…

cs.RO2026

Visual SLAM with DEM Anchoring for Lunar Surface Navigation

Adam Dai, Guillem Casadesus Vila, Grace Gao

Future lunar missions will require autonomous rovers capable of traversing tens of kilometers across challenging terrain while maintaining accurate localization and producing globa…

eess.SP20244 cited

Toward Autonomous Cooperation in Heterogeneous Nanosatellite Constellations Using Dynamic Graph Neural Networks

Guillem Casadesus-Vila, Joan-Adria Ruiz-de-Azua, Eduard Alarcon

The upcoming landscape of Earth Observation missions will defined by networked heterogeneous nanosatellite constellations required to meet strict mission requirements, such as revi…

cs.RO2024

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators

Christopher Agia, Guillem Casadesus Vila, Saptarshi Bandyopadhyay +9

To extend the limited scope of autonomy used in prior missions for operation in distant and complex environments, there is a need to further develop and mature autonomy that jointl…