21 citations · 53 across the 13 of their papers we have counts for
16 papers
Null string holography in AdS from local BRST descent
Sarthak Duary, Sourav Maji
We show that the radial sector of a Carroll-Weyl gauged null string in Poincaré is locally trivial in BRST cohomology. In a quotient-adapted BFV basis, the radial…
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…
Transformer-Informed Trajectory Optimization for Relative Motion in Cislunar Orbits
Walter J. Manuel, Yuji Takubo, Simone D'Amico
Autonomous spacecraft guidance and control requires a fast solution to non-convex trajectory optimization, which can be accelerated by providing a near-optimal initial guess to an…
Doubling Sunlight for a Human Mars Base With Orbiting Solar Reflectors
Ari Essunfeld, Yuji Takubo, Adrian Dumitrescu +4
The Sun's faintness at Mars' orbit makes producing energy, melting ice, and staying warm more difficult. Orbiting solar reflectors (OSRs) can augment sunlight at Mars, but the area…
Transformer-Based Warm-Starting for Feasible and Optimal Terminal Approach to Tumbling Objects with Space Manipulators
Yuji Takubo, Maximilian Adang, Mac Schwager +1
Autonomous capture of a tumbling object with a space manipulator requires trajectory generation under real-time onboard constraints. However, coupled bus-arm dynamics, rotating saf…
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…
Intent-aligned Autonomous Spacecraft Guidance via Reasoning Models
Yuji Takubo, Simone D'Amico
Future spacecraft operations require autonomy that can interpret high-level mission intent while preserving safety. However, existing trajectory optimization still relies heavily o…
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…
Long-Duration Station-Keeping Strategy for Cislunar Spacecraft Formations
Ethan Foss, Yuji Takubo, Simone D'Amico
This paper demonstrates a novel guidance and control strategy for cislunar near-rectilinear halo orbit formation-keeping applied to high-fidelity dynamics. Bounded relative motion…
Safe and Optimal N-Spacecraft Swarm Reconfiguration in Non-Keplerian Cislunar Orbits
Yuji Takubo, Walter Manuel, Ethan Foss +1
This paper presents a novel fuel-optimal guidance and control methodology for spacecraft swarm reconfiguration in Restricted Multi-Body Problems (RMBPs) with a guarantee of passive…
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…
Automated Tour Design in the Saturnian System
Yuji Takubo, Damon Landau, Brian Anderson
Future missions to Enceladus would benefit from multi-moon tours that leverage V-infinity on resonant orbits to progressively transfer between moons. Such "resonance family hopping…
Robust Constrained Multi-objective Evolutionary Algorithm based on Polynomial Chaos Expansion for Trajectory Optimization
Yuji Takubo, Masahiro Kanazaki
An integrated optimization method based on the constrained multi-objective evolutionary algorithm (MOEA) and non-intrusive polynomial chaos expansion (PCE) is proposed, which solve…
Multidisciplinary Design Optimization Approach to Integrated Space Mission Planning and Spacecraft Design
Masafumi Isaji, Yuji Takubo, Koki Ho
Space mission planning and spacecraft design are tightly coupled and need to be considered together for optimal performance; however, this integrated optimization problem results i…
Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design
Yuji Takubo, Hao Chen, Koki Ho
This paper develops a hierarchical reinforcement learning architecture for multimission spaceflight campaign design under uncertainty, including vehicle design, infrastructure depl…