44 citations · 46 across the 7 of their papers we have counts for
10 papers
PLUTO: An Agentic AI Tool for Interactive Spacecraft Rendezvous Trajectory Design
Eleanor Brosius, Yuji Takubo, Daniele Gammelli +2
Modern space missions require trajectory design methods capable of efficiently adapting to diverse mission objectives and operational constraints. Despite the maturity of non-conve…
OrbitTAMP: Grounding Language Models for Task and Motion Planning in Spacecraft Rendezvous
Yuji Takubo, Daniele Gammelli, Marco Pavone +1
Spacecraft rendezvous and proximity operations (RPO) are currently planned through an expertise-intensive process in which engineers translate high-level operational intent into sa…
Semantic Constraint Synthesis for Adaptive Trajectory Optimization via Large Language Models
Eleanor Brosius, Yuji Takubo, Daniele Gammelli +2
Trajectory optimization is a critical component for enabling safe and reliable autonomous operations in space exploration. As space missions increase in frequency, complexity, and…
Language-Conditioned Safe Trajectory Generation for Spacecraft Rendezvous
Yuji Takubo, Arpit Dwivedi, Sukeerth Ramkumar +4
Reliable real-time trajectory generation is essential for future autonomous spacecraft. While recent progress in nonconvex guidance and control is paving the way for onboard autono…
Agile Tradespace Exploration for Space Rendezvous Mission Design via Transformers
Yuji Takubo, Daniele Gammelli, Marco Pavone +1
Spacecraft rendezvous enables on-orbit servicing, debris removal, and crewed docking, forming the foundation for a scalable space economy. Designing such missions requires rapid ex…
Transformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling
Davide Celestini, Daniele Gammelli, Tommaso Guffanti +3
Model predictive control (MPC) has established itself as the primary methodology for constrained control, enabling general-purpose robot autonomy in diverse real-world scenarios. H…
Generalizable Spacecraft Trajectory Generation via Multimodal Learning with Transformers
Davide Celestini, Amirhossein Afsharrad, Daniele Gammelli +6
Effective trajectory generation is essential for reliable on-board spacecraft autonomy. Among other approaches, learning-based warm-starting represents an appealing paradigm for so…
Towards Robust Spacecraft Trajectory Optimization via Transformers
Yuji Takubo, Tommaso Guffanti, Daniele Gammelli +2
Future multi-spacecraft missions require robust autonomous trajectory optimization capabilities to ensure safe and efficient rendezvous operations. This capability hinges on solvin…
Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial Applications
Matthew Foutter, Daniele Gammelli, Justin Kruger +5
Foundation Models (FMs), e.g., large language models, possess attributes of intelligence which offer promise to endow a robot with the contextual understanding necessary to navigat…
Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous
Tommaso Guffanti, Daniele Gammelli, Simone D'Amico +1
Reliable and efficient trajectory optimization methods are a fundamental need for autonomous dynamical systems, effectively enabling applications including rocket landing, hyperson…