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 …
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
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 …
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 …
perform operations. Most such tools in use at JPL and elsewhere use attribute-based …
Managing spacecraft memory buffers with concurrent data collection and downlink
Space mission planning/scheduling is determining the set of spacecraft activities to meet
mission objectives while respecting mission constraints. One important category of mission …
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 …
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 …
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 …
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 …
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 …
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 …
Gerasimenko in August 2014 and will escort the comet for a 1.5 year nominal mission …