activity
20242026
collaborators

7 papers

math.OC2026

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…

cs.RO2026

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…

math.OC2026

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…

math.OC2025

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…

cs.RO2025

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…

cs.RO2024

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…