10 citations · 12 across the 15 of their papers we have counts for
8 papers · 1 filter
DreamSat-Bench: Development and Initial Testing of a Testbed for AI-Based Pose Estimation from 3D Reconstruction
Alex Posadas-Nava, August Berne, Giovanni Lavezzi +8
This paper presents the development and initial testing of DreamSat-Bench, a modular rendezvous and proximity operation testbed designed to benchmark AI-based relative navigation t…
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…
DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching
Josiane Uwumukiza, Jocelyn Zhao, Giovanni Lavezzi +5
6-DoF pose estimation is a critical task in autonomous rendezvous and proximity operations. In the case of an unknown target, this task becomes challenging as it shall be paired wi…
Memory-Efficient Meta-Reinforcement Learning for Adaptive Safety-Critical Control in Adversarial Spacecraft Proximity Operations
Alejandro Posadas-Nava, Richard Linares, Minduli Wijayatunga
Autonomous spacecraft rendezvous and proximity operations (RPO) require controllers that guarantee safety under thrust constraints while minimizing fuel expenditure. Input-constrai…
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…
An Autonomous, End-to-End, Convex-Based Framework for Close-Range Rendezvous Trajectory Design and Guidance with Hardware Testbed Validation
Minduli C. Wijayatunga, Julian Guinane, Nathan D. Wallace +1
Autonomous satellite servicing missions must execute close-range rendezvous under stringent safety and operational constraints while remaining computationally tractable for onboard…
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…
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…