Kirkados/combined_experiment

My contribution to the SRCL combined experiment, where I provide deep reinforcement learning-based guidance for spacecraft pose tracking with acceleration signals. This is essentially my Phase 3 approach on the Phase 1 task, with some extensions.

Combined Experiment

An experiment at Carleton University's Spacecraft Proximity Operations Testbed that combined machine learning-based computer vision, deep reinforcement learning-based guidance, and disturbance-optimal manipulator deployment in order to enable state-of-the-art spacecraft capture in an experiment.

Kirk's previous attempt at the guidance segment can be found at https://github.com/Kirkados/D4PG-SPOT