Activity-based scheduling of science campaigns for the rosetta orbiter

SA Chien, G Rabideau, DQ Tran, M Troesch… - Journal of Aerospace …, 2021 - arc.aiaa.org
Rosetta was a European Space Agency (ESA) cornerstone mission that launched in March
2004, exited hibernation in January 2014, entered orbit around the comet 67P/Churyumov …

[HTML][HTML] A constraint programming framework for preliminary mission analysis: Applications for constellation-servicing active debris removal

A Barea, JL Gonzalo, C Colombo, H Urrutxua - Advances in Space …, 2024 - Elsevier
Constraint Programming is a classical artificial intelligence paradigm characterised by its
flexibility for the modelling of complex problems. In the field of space operations, this …

Blackbird: Object-oriented planning, simulation, and sequencing framework used by multiple missions

CR Lawler, FL Ridenhour, SA Khan… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Every JPL flight mission relies on activity planning and sequence generation software to
perform operations. Most such tools in use at JPL and elsewhere use attribute-based …

Managing spacecraft memory buffers with concurrent data collection and downlink

G Rabideau, S Chien, M Galer, F Nespoli… - Journal of Aerospace …, 2017 - arc.aiaa.org
Space mission planning/scheduling is determining the set of spacecraft activities to meet
mission objectives while respecting mission constraints. One important category of mission …

[PDF][PDF] Reasoning about NP-complete Constraints.

E Hébrard - IJCAI, 2018 - ijcai.org
The concept of local consistency–making global deductions from local infeasibility–is central
to constraint programming. When reasoning about NP-complete constraints, however, since …

Introduction to Combinatorial Optimisation in Numberjack

B Hurley, B O'Sullivan - … and Constraint Programming: Foundations of a …, 2016 - Springer
This chapter presents an introduction to combinatorial optimisation in the context of the high-
level modelling platform, Numberjack. The process of developing an effective model for a …

[PDF][PDF] Exploiting machine learning for combinatorial problem solving and optimisation

B Hurley - 2016 - cora.ucc.ie
This dissertation presents a number of contributions to the field of solver portfolios, in
particular for combinatorial search problems. We propose a novel hierarchical portfolio …

Mixed integer nonlinear programming applications for trajectory optimization of large-scale active debris removal missions in low Earth orbi

A Barea Vilar - 2023 - burjcdigital.urjc.es
Upcoming active space debris removal missions will most likely attempt to remove several
objects per mission. The design of such missions involves the selection of the objects to be …

Earth observation systems optimization for free-space optical communications

M Capelle - 2018 - theses.hal.science
For many years, satellites have been used to explore, analyse and monitor Earth from
space. Nowadays, low-earth orbiting satellites are taking a steadily increasing number of …

[PDF][PDF] Activity-based Scheduling of Science Campaigns for the Rosetta Orbiter: An Early Report on Operations

S Chien, G Rabideau, D Tran, J Doubleday, D Chao… - academia.edu
Rosetta is an ESA cornerstone mission that will reach the comet 67P/Churyumov-
Gerasimenko in August 2014 and will escort the comet for a 1.5 year nominal mission …