SPACEU SYMPOSIUM:

MEAGAN THATCHER

Martian gravitational complexity requires a robust model. Current methods diverge close to planetary surfaces and in the presence of complex multi-body systems. As a new method, we propose a combined computational method that utilizes physics-informed neural networks with reinforcement learning models to create autonomous satellite controls.

UCF | MAE

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