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Multi-Robot Systems Optimization and Analysis Using MILP and CLP

Reinl, Christian ; Ruh, F. ; Stolzenburg, F. ; Stryk, Oskar von (2008)
Multi-Robot Systems Optimization and Analysis Using MILP and CLP.
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Formal methods for multi-robot system analysis, specially logic-based methods, operate on discrete models. Optimization methods for simultaneous trajectory and task allocation, namely mixed integer dynamic optimization, operate on hybrid dynamical models which take into account a model of the motion dynamics of the physical robot. In this paper, ongoing work towards a coherent treatment of both approaches is described. A benchmark problem from robot soccer is introduced and used as an illustrative example.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2008
Autor(en): Reinl, Christian ; Ruh, F. ; Stolzenburg, F. ; Stryk, Oskar von
Art des Eintrags: Bibliographie
Titel: Multi-Robot Systems Optimization and Analysis Using MILP and CLP
Sprache: Englisch
Publikationsjahr: Mai 2008
Ort: Estoril, Portugal
Buchtitel: AAMAS08-Workshop on Formal Models and Methods for Multi-Robot Systems
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Kurzbeschreibung (Abstract):

Formal methods for multi-robot system analysis, specially logic-based methods, operate on discrete models. Optimization methods for simultaneous trajectory and task allocation, namely mixed integer dynamic optimization, operate on hybrid dynamical models which take into account a model of the motion dynamics of the physical robot. In this paper, ongoing work towards a coherent treatment of both approaches is described. A benchmark problem from robot soccer is introduced and used as an illustrative example.

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Simulation, Systemoptimierung und Robotik
Hinterlegungsdatum: 20 Jun 2016 23:26
Letzte Änderung: 06 Mai 2019 09:48
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