@ARTICLE{6633062,
author={Diaz, D. and Cesta, A. and Oddi, A. and Rasconi, R. and R-Moreno, M.D.},
journal={Computational Intelligence Magazine, IEEE},
title={Efficient Energy Management for Autonomous Control in Rover Missions},
year={2013},
volume={8},
number={4},
pages={12-24},
keywords={Mars;decision making;energy management systems;optimisation;planetary rovers;scheduling;AI scheduling techniques;ESA 3DROV simulator;MSR-inspired scheduling problem;Mars sample return mission concept;PARC-MRS;advanced autonomous reasoning capabilities;autonomous control;benchmark instance generator;complete command plans;complex temporal constraints;constraint-based reasoner;energy management;feasibility criteria;integrated power-aware decision-making strategy;makespan optimization criteria;mission requirements;planetary rover concept;power aware resource constrained Mars rover scheduling;resource constraints;rover missions;Artificial intelligence;Computational modeling;Energy efficiency;Energy management;Mars;Navigation;Space vehicles},
doi={10.1109/MCI.2013.2279558},
ISSN={1556-603X},}