7 citations · 16 across the 9 of their papers we have counts for
11 papers
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…
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…
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…
Simulating the Evolution of Lethal Non-Trackable Population and its Effect on LEO Sustainability
Daniel Jang, Richard Linares
The vast majority of the orbital population today is unobservable and untracked because of their small size. These lethal non-trackable objects will only become more numerous as mo…
Fine-tuning LLMs for Autonomous Spacecraft Control: A Case Study Using 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 prompt. This study explores the u…
Language Models are Spacecraft Operators
Victor Rodriguez-Fernandez, Alejandro Carrasco, Jason Cheng +3
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…
Towards a Machine Learning-Based Approach to Predict Space Object Density Distributions
Victor Rodriguez-Fernandez, Sumiyajav Sarangerel, Peng Mun Siew +3
With the rapid increase in the number of Anthropogenic Space Objects (ASOs), Low Earth Orbit (LEO) is facing significant congestion, thereby posing challenges to space operators an…