Under review · Reviewer feedback received
Autonomous LEO-to-LEO Resident Space Object Imaging with Reinforcement Learning
Journal extension of the AMOS 2025 space-to-space imaging study. A public manuscript PDF is not linked in the lab's listing.
I work on spacecraft imaging, autonomous scheduling, and inspection. My earlier research was in galaxy formation.
Under review · Reviewer feedback received
Journal extension of the AMOS 2025 space-to-space imaging study. A public manuscript PDF is not linked in the lab's listing.
Submitted
Journal extension of the Breckenridge GN&C 2026 work on imaging and ground delivery across orbital regimes. A public manuscript PDF is not linked in the lab's listing.
AMOS · September 2026
Studies repeated imaging, changing target priorities, and ground delivery for catalogs spanning LEO, MEO, and GEO. The scheduler uses variable-duration actions and a target-wise attention policy.
AAS GN&C · 2026 · AAS 26-052
Examines the tradeoff between collecting images and delivering them to the ground, including transfer from LEO-only training to mixed-orbit targets.
AMOS · September 2025
Learns target-selection and resource-management decisions for space-to-space imaging using Basilisk and BSK-RL.
IWPSS · April 2025
Combines reinforcement learning with a collision-avoidance shield for inspecting a nearby spacecraft using impulsive maneuvers.
In progress · GN&C 2027
In progress · GN&C 2027
MNRAS · 2021
Uses galaxy simulations to examine how tidal encounters can remove dark matter from dwarf galaxies.
Manuscript and submission statuses checked against the AVS Lab journal and conference listings on .