Victoria, Juan Manuel Delfa ; Policella, Nicola ; Gallant, Marc ; Stryk, Oskar von ; Donati, Alessandro ; Gao, Yang ; Stryk, Oskar von (2012)
Metrics for Planetary Rover Planning & Scheduling Algorithms.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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 compromising 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 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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Victoria, Juan Manuel Delfa ; Policella, Nicola ; Gallant, Marc ; Stryk, Oskar von ; Donati, Alessandro ; Gao, Yang ; Stryk, Oskar von |
| Art des Eintrags: | Bibliographie |
| Titel: | Metrics for Planetary Rover Planning & Scheduling Algorithms |
| Sprache: | Englisch |
| Publikationsjahr: | 2012 |
| Buchtitel: | In Proceedings of the Performance Metrics for Intelligent Systems (PerMIS) Workshop |
| Kurzbeschreibung (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 compromising 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 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. |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Simulation, Systemoptimierung und Robotik |
| Hinterlegungsdatum: | 20 Jun 2016 23:26 |
| Letzte Änderung: | 15 Mär 2019 09:58 |
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