8 citations · 10 across the 5 of their papers we have counts for
5 papers
Trajectory Optimisation of a Swarm Orbiting 67P/Churyumov-Gerasimenko Maximising Gravitational Signal
Rasmus Maråk, Emmanuel Blazquez, Pablo Gómez
Proper modelling of the gravitational fields of irregularly shaped asteroids and comets is an essential yet challenging part of any spacecraft visit and flyby to these bodies. Accu…
Investigation of the Robustness of Neural Density Fields
Jonas Schuhmacher, Fabio Gratl, Dario Izzo +1
Recent advances in modeling density distributions, so-called neural density fields, can accurately describe the density distribution of celestial bodies without, e.g., requiring a…
Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth Orbit
Johan Östman, Pablo Gomez, Vinutha Magal Shreenath +1
Onboard machine learning on the latest satellite hardware offers the potential for significant savings in communication and operational costs. We showcase the training of a machine…
PAseos Simulates the Environment for Operating multiple Spacecraft
Pablo Gómez, Johan Östman, Vinutha Magal Shreenath +1
The next generation of spacecraft is anticipated to enable various new applications involving onboard processing, machine learning and decentralised operational scenarios. Even tho…
NIDN: Neural Inverse Design of Nanostructures
Pablo Gómez, Håvard Hem Toftevaag, Torbjørn Bogen-Storø +2
In the recent decade, computational tools have become central in material design, allowing rapid development cycles at reduced costs. Machine learning tools are especially on the r…