Enabling astronaut self-scheduling using a robust advanced modelling and scheduling system: An assessment during a Mars analogue mission

Author:

Saint-Guillain Michael,Vanderdonckt Jean,Burny Nicolas,Pletser Vladimir,Vaquero Tiago,Chien Steve,Karl Alexander,Marquez Jessica,Wain Cyril,Comein Audrey,Casla Ignacio S.,Jacobs Jean,Meert Julien,Chamart Cheyenne,Drouet Sirga,Manon Julie

Funder

National Aeronautics and Space Administration

European External Action Service

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference61 articles.

1. Enabling limited resource-bounded disjunction in scheduling;Agrawal;J. Aerospace Informat. Syst.,2021

2. Analyzing the effectiveness of rescheduling and flexible execution methods to address uncertainty in execution duration for a planetary rover;Agrawal;Robot. Auton. Syst.,2021

3. Agrawal, J., Yelamanchili, A., Chien, S., 2020. Using explainable scheduling for the Mars 2020 Rover Mission. In: Proc. of the Workshop on Explainable AI Planning, International Conference on Automated Planning and Scheduling ICAPS XAIP ’20. https://doi.org/10.48550/arXiv.2011.08733.

4. MAPGEN: mixed-initiative planning and scheduling for the Mars exploration rover mission;Ai-Chang;IEEE Intell. Syst.,2004

5. A computational study of the job-shop scheduling problem;Applegate;ORSA J. Comput.,1991

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