Table of Contents
In most situations, people discuss mitigating and removing space debris, but our study focus on how to increase the accumulation of space debris to eventually trigger the famous Kessler Syndrome, where cascading collisions occur. To accomplish this goal, we set up a simplified but real-enough environment based on the up-to-date space catalog. The dimension and mass of the debris will also be modeled. Collaborative AI agents will be guided in this virtual reality environment to learn a policy to trigger the catastrophe. Available actions include, for example, blowing up big objects (satellites or rocket bodies), adding new objects, etc. The project goal is, of course, still to prevent the syndrome. We can use this AI to test against other mitigation resorts. Furthermore, this AI will enlighten us what operations should be definitely prevented and what objects should be removed before they break up.
Research
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General Research Interests
- Astrodynamics
- Attitude Dynamics and Control
- Space Situational Awareness (SSA)
- Machine Learning (ML) and Artificial Intelligence (AI)
- Supervised Learning
- Reinforcement Learning
Some detailed topics are included below.