From the 1 of 14 linked papers with an AI index.
7 citations · 7 across the 8 of their papers we have counts for
5 papers · 1 filter
Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained Reinforcement Learning
Yashdeep Chaudhary, Roberto Armellin, Harry Holt +1
This paper presents a distribution-agnostic robust trajectory-optimization framework based on chance-constrained reinforcement learning. The uncertainty is represented here through…
Time-Optimal Collision Avoidance Via a Greedy Polynomial Backward Sweep
Zeno Pavanello, Frank De Veld, Roberto Armellin
Spacecraft collision avoidance for low-thrust satellites often requires determining not only how to maneuver, but also how late a maneuver can begin while still ensuring safety. Th…
Tiny Recursive Models for Solving the J2-Perturbed Lambert Problem
Minduli Wijayatunga, Roberto Armellin
This paper presents a fast, recursive neural solver for the J2-perturbed Lambert problem based on Tiny Recursive Models (TRM), termed the TRM-Perturbed Lambert (TRM-PL) model. TRM…
Learning Safety-Guaranteed, Non-Greedy Control Barrier Functions Using Reinforcement Learning
Minduli Wijayatunga, Nathan Wallace, Salah Sukkarieh +1
Spacecraft rendezvous and proximity operations (RPO) pose safety risks to high-value assets, so formal safety guarantees are critical. Yet conservative safety controllers can reduc…
Trajectory Design and Guidance for Far-range Proximity Operations of Active Debris Removal Missions with Angles-only Navigation and Safety Considerations
Minduli C. Wijayatunga, Roberto Armellin, Harry Holt
Observability of the target, safety, and robustness are often recognized as critical factors in ensuring successful far-range proximity operations. The application of angles-only (…