Simulated memristor-based SIREN networks with bit-slicing and temporal averaging reach test losses 0.010 and 0.007 on spacecraft guidance and asteroid geodesy, near digital baselines.
Small Celestial Body Exploration with CubeSat Swarms
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abstract
This work presents a large-scale simulation study investigating the deployment and operation of distributed swarms of CubeSats for interplanetary missions to small celestial bodies. Utilizing Taylor numerical integration and advanced collision detection techniques, we explore the potential of large CubeSat swarms in capturing gravity signals and reconstructing the internal mass distribution of a small celestial body while minimizing risks and Delta V budget. Our results offer insight into the applicability of this approach for future deep space exploration missions.
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Memristor-Based Neural Network Accelerators for Space Applications: Enhancing Performance with Temporal Averaging and SIRENs
Simulated memristor-based SIREN networks with bit-slicing and temporal averaging reach test losses 0.010 and 0.007 on spacecraft guidance and asteroid geodesy, near digital baselines.