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Metrics for Planetary Rover Planning & Scheduling Algorithms

Delfa, JM, Policella, N, Gallant, M, Stryk, O, Donati, A and Gao, Y Metrics for Planetary Rover Planning & Scheduling Algorithms In: Performance Metrics for Intelligent Systems (PerMIS), 2012-03-20 - 2012-03-22, Maryland, USA.

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Abstract

In addition to its utility in terrestrial-based applications, Automated Planning and Scheduling (P&S) has had a growing impact on space exploration. Such applications require an influx of new technologies to improve performance while not comprimising safety. As a result, a reliable method to rapidly assess the effectiveness of new P&S algorithms would be desirable to ensure the fulfillment of of all software requirements. This paper introduces RoBen, a mission-independent benchmarking tool that provides a standard framework for the evaluation and comparison of P&S algorithms. RoBen considers metrics derived from the model (the system on which the P&S algorithm will operate) as well as user input (e.g., desired problem complexity) to automatically generate relevant problems for quality assessment. A thorough description of the algorithms and metrics used in RoBen is provided, along with the preliminary test results of a P&S algorithm solving RoBen-generated problems.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Surrey Space Centre
Authors :
AuthorsEmailORCID
Delfa, JMUNSPECIFIEDUNSPECIFIED
Policella, NUNSPECIFIEDUNSPECIFIED
Gallant, MUNSPECIFIEDUNSPECIFIED
Stryk, OUNSPECIFIEDUNSPECIFIED
Donati, AUNSPECIFIEDUNSPECIFIED
Gao, YUNSPECIFIEDUNSPECIFIED
Identification Number : 10.1145/2393091.2393101
Contributors :
ContributionNameEmailORCID
PublisherACM, UNSPECIFIEDUNSPECIFIED
Additional Information : © ACM, 2012. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the Workshop on Performance Metrics for Intelligent Systems, 2012. http://dx.doi.org/10.1145/2393091.2393101
Depositing User : Symplectic Elements
Date Deposited : 12 Mar 2013 12:54
Last Modified : 23 Sep 2013 20:02
URI: http://epubs.surrey.ac.uk/id/eprint/761683

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