AMOS space-to-space surveillance journal extension
Journal-length expansion of the AMOS space-to-space imaging work, reframing the conference result with a deeper treatment of autonomy, resource constraints, and scheduling behavior.
Publications
This page is a curated overview of my research papers and conference contributions in space autonomy, astrodynamics, and astrophysics. If you are visiting for the first time, this is the best place to quickly see what I have published, where it appeared, and where to read or watch each contribution.
Current Pipeline
AMOS 2026 autonomous RSO imaging follow-on
New AMOS 2026 contribution extending responsive catalog-maintenance and imaging objectives across broader orbital regimes.
Communications architecture for autonomous surveillance missions
Paper in preparation around tasking, data delivery, downlink latency, and communications-architecture decisions for autonomous space-based surveillance.
Breckenridge GN&C work to journal article
The AAS Rocky Mountain GN&C 2026 result is positioned as the conference foundation for a more complete journal manuscript.
Autonomous Space-Based Imaging: Reinforcement Learning Scheduling with Downlink Latency and Resource-Aware Actions
Presents a POMDP-based RL scheduler for autonomous RSO imaging under line-of-sight, lighting, battery, wheel-momentum, and downlink constraints in a high-fidelity Basilisk simulation. This Breckenridge GN&C paper is the foundation for a planned journal-length version.
Reinforcement Learning for Space-to-Space Surveillance: Autonomous Scheduling for Resident Space Object Imaging
Investigates RL-based scheduling for autonomous space-based imaging in dynamic orbital environments, including observation opportunities, downlink latency, and onboard resource limits.
Autonomous Satellite Inspection in Low Earth Orbit with Optimization-Based Safety Guarantees
Introduces a shielded MDP framework for autonomous LEO inspection planning that balances task completion and safety constraints in dynamic operational scenarios.
Responsive Autonomous RSO Imaging and Catalog Maintenance Using Reinforcement Learning Across Orbital Regimes
New 2026 AMOS conference paper: extends autonomous RSO imaging to broader orbital-regime coverage with catalog maintenance objectives and reinforcement-learning-based responsive scheduling.
Creating a galaxy lacking dark matter in a dark matter dominated universe
Hydrodynamical cosmological simulations show that tidal interactions can produce galaxies that appear dark-matter deficient even in a dark-matter-dominated universe. After a strong radial pericentric passage, dwarfs can lose up to about 80% of dark matter, with central dark-matter-to-stellar ratios dropping toward values reported for NGC1052-DF2 and NGC1052-DF4.
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