collaborators

11 papers

math.OC2026

Polynomial-Based Solutions to Targeting Problems for Onboard Applications

Adam Evans, Alberto Fossa, Roberto Armellin +2

This paper solves the targeting problem focusing on accuracy, computational efficiency, and reliability. The trajectory optimization problem is first recast as a polynomial optimiz…

astro-ph.IM2026

Station-Keeping Approach for Extremely Low Lunar Orbits with Solar Sailing

Jack Yarndley, Gregory Lantoine, Roberto Armellin

Renewed interest in cislunar space has created opportunities for sustained operations in extremely low-lunar orbits (eLLOs), where altitudes below 50~km enable close surface proxim…

math.OC2026

Non-linear stochastic trajectory optimisation

Thomas Caleb, Roberto Armellin, Stéphanie Lizy-Destrez

Designing robust space trajectories in nonlinear dynamical environments, such as the Earth-Moon circular restricted three-body problem (CR3BP), poses significant challenges due to…

math.OC2026

Chance constraints transcription and failure risk estimation for stochastic trajectory optimisation

Thomas Caleb, Roberto Armellin, Stéphanie Lizy-Destrez

Stochastic trajectory optimisation under uncertainty requires robust constraint satisfaction through chance constraints. However, existing transcription methods remain limited to s…

math.OC2026

Taylor polynomial-based constrained solver for fuel-optimal low-thrust trajectory optimisation

Thomas Caleb, Roberto Armellin, Spencer Boone +1

This paper presents differential algebra-based differential dynamic programming (DADDy), a publicly available C++ framework for constrained, fuel-optimal low-thrust trajectory opti…

astro-ph.EP2026

Optimization of Transfers linking Ballistic Captures to Earth-Moon Periodic Orbit Families

Lorenzo Anoè, Roberto Armellin, Jack Yarndley +2

The design of transfers to periodic orbits in the Earth-Moon system has regained prominence with NASA's Artemis and CNSA's Chang'e programs. This work addresses the problem of link…