activity
20232025
most citedGlobal Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models

2 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2025

Bi-Level Optimal Control Framework For Missed-Thrust-Design With First-Order Bounds On Maximum Missed-Thrust-Duration

Amlan Sinha, Ryne Beeson

In this paper, we present a bi-level optimal control framework for designing low-thrust spacecraft trajectories with robustness against missed-thrust-events. The upper-level (UL) p…

math.OC2025

Initial Guess Generation for Low-Thrust Trajectory Design with Robustness to Missed-Thrust-Events

Amlan Sinha, Ryne Beeson

The growing interest in cislunar space exploration in recent years has driven an increasing demand for efficient low-thrust missions to key cislunar orbits. These missions, typical…

math.OC2024★ 2 cited

Global Search of Optimal Spacecraft Trajectories using Amortization and Deep Generative Models

Ryne Beeson, Anjian Li, Amlan Sinha

Preliminary spacecraft trajectory optimization is a parameter dependent global search problem that aims to provide a set of solutions that are of high quality and diverse. In the c…

cs.LG2024★ 1 cited

Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Models

Jannik Graebner, Anjian Li, Amlan Sinha +1

Spacecraft trajectory design is a global search problem, where previous work has revealed specific solution structures that can be captured with data-driven methods. This paper exp…

math.NA2024

Algorithmic Considerations for Effective Global Search of Robust Low-Thrust Trajectories

Amlan Sinha, Ryne Beeson

The growing interest in the cislunar domain over the past decade has led to an increasing demand for low-thrust missions to key orbits within this region. These low-thrust missions…

math.OC2024★ 1 cited

Statistical Analysis of the Role of Invariant Manifolds on Robust Trajectories

Amlan Sinha, Ryne Beeson

As low-thrust space missions increase in prevalence, it is becoming increasingly important to design robust trajectories against unforeseen thruster outages or missed thrust events…

cs.LG2023★ 2 cited

Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models

Anjian Li, Amlan Sinha, Ryne Beeson

Preliminary trajectory design is a global search problem that seeks multiple qualitatively different solutions to a trajectory optimization problem. Due to its high dimensionality…