A non-deterministic planner for planetary rovers

Ceriotti, M. and Croisard, Nicolas and Vasile, Massimiliano (2007) A non-deterministic planner for planetary rovers. In: International Joint Conference on Artificial Intelligence (IJCAI), 2007-01-06 - 2007-01-12.

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Abstract

This paper presents an integrated planning and scheduling algorithm based on co-evolutionary algorithms. This planner is the core of the delibera-tive level of a three-layer autonomous system (called Wisdom) for planetary rovers. The planner operates at two different levels: at a higher level reallocates and transforms mission goals, based on contingent events, in order to reach scientifically interesting targets and minimize the risk of a failure, at a lower level it generates scheduled sequences of actions that optimize a number of objectives. A particular implementation of co-evolutionary algorithms is used to generate sets of Pareto-optimal plans for every given sequence of goals. Some tests will illustrate the main characteristics of the algorithm.

ORCID iDs

Ceriotti, M., Croisard, Nicolas and Vasile, Massimiliano

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Item metadata

Item type:	Conference or Workshop Item(Paper)
ID code:	20157
Dates:	Date Event 6 January 2007 Published
Keywords:	planning and scheduling algorithm, planetary rovers, co-evolutionary algorithms, pareto-optimal plans, mission goals, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics
Subjects:	Technology > Mechanical engineering and machinery Technology > Motor vehicles. Aeronautics. Astronautics
Department:	Faculty of Engineering > Mechanical and Aerospace Engineering Technology and Innovation Centre > Advanced Engineering and Manufacturing
Depositing user:	Ms Katrina May
Date deposited:	01 Jun 2010 14:53
Last modified:	17 Jun 2021 01:42
URI:	https://strathprints.strath.ac.uk/id/eprint/20157

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