From the 1 of 6 linked papers with an AI index.
6 papers
DreamSat-Pose: Spacecraft Pose Estimation from Single-View 3D Reconstructions and Learned 2D-3D Feature Matching
Josiane Uwumukiza, Jocelyn Zhao, Giovanni Lavezzi +5
The paper introduces a single-shot framework that reconstructs a 3D shape of an unknown spacecraft from one image and then estimates its 6-DoF pose by learning dense 2D‑3D correspo…
Multi-Phase Spacecraft Trajectory Optimization via Transformer-Based Reinforcement Learning
Amit Jain, Victor Rodriguez-Fernandez, Richard Linares
Autonomous spacecraft control for mission phases such as launch, ascent, stage separation, and orbit insertion remains a critical challenge due to the need for adaptive policies th…
Large Language Models as Autonomous Spacecraft Operators in Kerbal Space Program
Alejandro Carrasco, Victor Rodriguez-Fernandez, Richard Linares
Recent trends are emerging in the use of Large Language Models (LLMs) as autonomous agents that take actions based on the content of the user text prompts. We intend to apply these…
Increasing Determinism of All-vs-all Orbital Evolution Simulators
Enrico M. Zucchelli, Daniel Jang, Richard Linares
All-vs-all orbital evolutionary simulations for the low Earth orbit (LEO) simulate the long term evolution of the LEO environment. Although these simulations typically offer the hi…
Visual Language Models as Operator Agents in the Space Domain
Alejandro Carrasco, Marco Nedungadi, Enrico M. Zucchelli +3
This paper explores the application of Vision-Language Models (VLMs) as operator agents in the space domain, focusing on both software and hardware operational paradigms. Building…
DreamSat: Towards a General 3D Model for Novel View Synthesis of Space Objects
Nidhi Mathihalli, Audrey Wei, Giovanni Lavezzi +4
Novel view synthesis (NVS) enables to generate new images of a scene or convert a set of 2D images into a comprehensive 3D model. In the context of Space Domain Awareness, since sp…