22 citations · 95 across the 17 of their papers we have counts for
18 papers
Reachability-Informed Reinforcement Learning for Multi-Impulse Interplanetary Transfers
Yashdeep Chaudhary, Roberto Armellin, Harry Holt
Reinforcement learning offers the prospect of a reusable sequential decision-making mechanism for spacecraft trajectory design, motivating policy interfaces that connect learned de…
Characterization of Mega-Constellation Links for LEO Missions With Applications to EO and ISS Use Cases
G. Maiolini Capez, M. A. Caceres, C. P. Bridges +4
Satellite missions demand ever greater connectivity, especially in the LEO regime. In this paper, we introduce the new mega-constellation services in space paradigm: we show that m…
Convex Optimization-based Model Predictive Control for Active Space Debris Removal Mission Guidance
Minduli Wijayatunga, Roberto Armellin, Harry Holt +2
A convex optimization-based model predictive control (MPC) algorithm for the guidance of active debris removal (ADR) missions is proposed in this work. A high-accuracy reference fo…
Convex Optimization-Based Model Predictive Control for the Guidance of Active Debris Removal Transfers
Minduli Wijayatunga, Roberto Armellin, Harry Holt +2
Active debris removal (ADR) missions have garnered significant interest as means of mitigating collision risks in space. This work proposes a convex optimization-based model predic…
Fuel-Optimal Collision Avoidance Maneuvers in Long-Term Encounters with Station-Keeping Constraints
Zeno Pavanello, Laura Pirovano, Roberto Armellin
This work presents a sequential convex program method to compute fuel-optimal collision avoidance maneuvers for long-term encounters. The low-thrust acceleration model is used to a…
Perturbed Initial Orbit Determination
Alberto Fossà, Matteo Losacco, Roberto Armellin
An algorithm for robust initial orbit determination (IOD) under perturbed orbital dynamics is presented. By leveraging map inversion techniques defined in the algebra of Taylor pol…
A low-order automatic domain splitting approach for nonlinear uncertainty mapping
Matteo Losacco, Alberto Fossà, Roberto Armellin
This paper introduces a novel method for the automatic detection and handling of nonlinearities in a generic transformation. A nonlinearity index that exploits second order Taylor…
A Multifidelity Approach to Robust Orbit Determination
Alberto Fossà, Roberto Armellin, Emmanuel Delande +2
This paper presents an algorithm for the preprocessing of observation data aimed at improving the robustness of orbit determination tools. Two objectives are fulfilled: obtain a re…
Detection and estimation of spacecraft maneuvers for catalog maintenance
Laura Pirovano, Roberto Armellin
Building and maintaining a catalog of resident space objects involves several tasks, ranging from observations to data analysis. Once acquired, the knowledge of a space object need…
Design and Guidance of a Multi-Active Debris Removal Mission
Minduli Wijayatunga, Roberto Armellin, Harry Holt +2
Space debris have been becoming exceedingly dangerous over the years as the number of objects in orbit continues to rise. Active debris removal (ADR) missions have garnered signifi…
Team theAntipodes: Solution Methodology for GTOC11
Roberto Armellin, Laurent Beauregard, Andrea Bellome +7
This paper presents the solution approach developed by the team "theAntipodes" for the 11th Global Trajectory Optimization Competition (GTOC11). The approach consists of four main…
Exploiting Scaling Constants to Facilitate the Convergence of Indirect Trajectory Optimization Methods
Minduli C. Wijayatunga, Roberto Armellin, Laura Pirovano
This note develops easily applicable techniques that improve the convergence and reduce the computational time of indirect low thrust trajectory optimization when solving fuel- and…
A Koopman-Operator Control Optimization for Relative Motion in Space
Simone Servadio, Roberto Armellin, Richard Linares
A high order optimal control strategy implemented in the Koopman operator framework is proposed in this work. The new technique exploits the Koopman representation of the solution…
Robust initial orbit determination for short-arc Doppler radar observations
M. Losacco, R. Armellin, C. Yanez +3
A new Doppler radar initial orbit determination algorithm with embedded uncertainty quantification capabilities is presented. The method is based on a combination of Gauss' and Lam…
Multifidelity Orbit Uncertainty Propagation using Taylor Polynomials
Alberto Fossà, Roberto Armellin, Emmanuel Delande +2
A new multifidelity method is developed for nonlinear orbit uncertainty propagation. This approach guarantees improved computational efficiency and limited accuracy losses compared…
On the predictability of Galileo disposal orbits
David J. Gondelach, Roberto Armellin, Alexander Wittig
The end-of-life disposal of Galileo satellites is needed to avoid collisions with operational spacecraft and to prevent the generation of space debris. Either disposal in stable gr…
Element sets for high-order Poincaré mapping of perturbed Keplerian motion
David J. Gondelach, Roberto Armellin
The propagation and Poincaré mapping of perturbed Keplerian motion is a key topic in celestial mechanics and astrodynamics, e.g. to study the stability of orbits or design bounded…
A differential algebra based importance sampling method for impact probability computation on Earth resonant returns of Near Earth Objects
Matteo Losacco, Pierluigi Di Lizia, Roberto Armellin +1
A differential algebra based importance sampling method for uncertainty propagation and impact probability computation on the first resonant returns of Near Earth Objects is presen…