A lightweight, Python-based prototype for autonomous collision avoidance in low-Earth orbit using a supervised imitation approach (oracle → neural network) with 3D visualization.
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Updated
Aug 24, 2025 - Jupyter Notebook
A lightweight, Python-based prototype for autonomous collision avoidance in low-Earth orbit using a supervised imitation approach (oracle → neural network) with 3D visualization.
Two-body orbital propagator + Clohessy-Wiltshire LQR/LQI rendezvous controller, with Bayesian-optimized cost weights as the bridge from classical control toward learning-based control.
Autonomous spacecraft docking & station-keeping via PPO reinforcement learning — custom Gymnasium environment built on Clohessy-Wiltshire orbital mechanics
Relative orbit analysis of TerraSAR-X and TanDEM-X using the Homogeneous Hill (Clohessy-Wiltshire) equations.
TypeScript library for spacecraft relative motion propagation. Implements Yamanaka-Ankersen (elliptical orbits) and Clohessy-Wiltshire (circular orbits) state transition matrices with RIC/LVLH frame support.
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