10 citations · 18 across the 14 of their papers we have counts for
14 papers
Exoplanetary Tour Design with Solar Sails: TheAntipodes Results in the GTOC13 Problem
Jack Yarndley, Adam Evans, Xingyu Zhou +2
Solar sails present an attractive but challenging propulsion method for large-scale, long-duration trajectory design problems. In 2025, the 13th Global Trajectory Optimization Comp…
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…
Sample-Free Safety Assessment of Neural Network Controllers via Taylor Methods
Adam Evans, Roberto Armellin
In recent years, artificial neural networks have been increasingly studied as feedback controllers for guidance problems. While effective in complex scenarios, they lack the verifi…
Meta-Reinforcement Learning for Robust and Non-greedy Control Barrier Functions in Spacecraft Proximity Operations
Minduli C. Wijayatunga, Richard Linares, Roberto Armellin
Autonomous spacecraft inspection and docking missions require controllers that can guarantee safety under thrust constraints and uncertainty. Input-constrained control barrier func…
Can LLMs Do Rocket Science? Exploring the Limits of Complex Reasoning with GTOC 12
Iñaki del Campo, Pablo Cuervo, Victor Rodriguez-Fernandez +2
Large Language Models (LLMs) have demonstrated remarkable proficiency in code generation and general reasoning, yet their capacity for autonomous multi-stage planning in high-dimen…
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…
NSF-DOE Vera C. Rubin Observatory Observations of Interstellar Comet 3I/ATLAS (C/2025 N1)
Colin Orion Chandler, Pedro H. Bernardinelli, Mario Jurić +305
We report on the observation and measurement of astrometry, photometry, morphology, and activityof the interstellar object 3I/ATLAS, also designated C/2025 N1 (ATLAS) with the NSF-…
Using the Translation Theorem for the Automated Stationkeeping of Extremely-Low Lunar Missions
Jack Yarndley, Martin Lara, Harry Holt +1
Extremely-Low Lunar Orbits (eLLOs) (altitudes km) exhibit severe perturbations due to the highly non-spherical lunar gravitational field, presenting unique challenges to…
Learning-Based Stable Optimal Guidance for Spacecraft Close-Proximity Operations
Kun Wang, Roberto Armellin, Adam Evans +2
Machine learning techniques have demonstrated their effectiveness in achieving autonomy and optimality for nonlinear and high-dimensional dynamical systems. However, traditional bl…
GTOC 12: Results from TheAntipodes
Roberto Armellin, Andrea Bellome, Xiaoyu Fu +4
We present the solution approach developed by the team `TheAntipodes' during the 12th edition of the Global Trajectory Optimization Competition (GTOC 12). An overview of the approa…
Multi-Target Spacecraft Mission Design using Convex Optimization and Binary Integer Programming
Jack Yarndley, Harry Holt, Roberto Armellin
The optimal design of multi-target rendezvous and flyby missions is challenging due to the combination of traditional spacecraft trajectory optimization and high-dimensional combin…
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 (…