This seminar introduces research topics from MIT’s Astrodynamics, Space Robotics, and Controls Lab and the Space Enabled research group.
Topics will cover:
- multi-agent reinforcement learning approaches for scalable ground-based sensor tasking;
- modeling the population evolution of lethal non-trackable objects in LEO using the MIT Orbital Capacity Tool;
- comparison of simulated data using the NASA Standard Break-up Model and empirical data collected by the Space Fence radar;
- utilizing the Space Sustainability Rating for emerging space nation missions; modeling NASA collision avoidance actions using the Environment-Vulnerability-Decision-Technology framework;
- and continuing supervision of in-space servicing activities from a US Government Stakeholder perspective using Systems Architecture Framework.


