5 papers
Continuous Design and Reprogramming of Totimorphic Structures for Space Applications
Dominik Dold, Amy Thomas, Nicole Rosi +2
Recently, a class of mechanical lattices with reconfigurable, zero-stiffness structures has been proposed, called Totimorphic lattices. In this work, we introduce a computational f…
Reconfiguration of pivoting cube ensembles under local sensing constraints using geometric deep learning
Nadezhda Dobreva, Emmanuel Blazquez, Jai Grover +3
We demonstrate that local sensing is sufficient for effective global reconfiguration of homogeneous pivoting cube modular robots in two dimensions. While cube selection (i.e., whic…
Memristor-Based Neural Network Accelerators for Space Applications: Enhancing Performance with Temporal Averaging and SIRENs
Zacharia A. Rudge, Dominik Dold, Moritz Fieback +2
Memristors are an emerging technology that enables artificial intelligence (AI) accelerators with high energy efficiency and radiation robustness -- properties that are vital for t…
Guidance and Control Neural Network Acceleration using Memristors
Zacharia A. Rudge, Dario Izzo, Moritz Fieback +3
In recent years, the space community has been exploring the possibilities of Artificial Intelligence (AI), specifically Artificial Neural Networks (ANNs), for a variety of on board…
Asteroid Mining: ACT&Friends' Results for the GTOC 12 Problem
Dario Izzo, Marcus Märtens, Laurent Beauregard +8
In 2023, the 12th edition of Global Trajectory Competition was organised around the problem referred to as "Sustainable Asteroid Mining". This paper reports the developments that l…