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Multi-robot task planning problem with uncertainty in game theoretic framework

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Multi-robot task planning problem with uncertainty in game theoretic framework

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Skrzypczyk, K.; Mellado Arteche, M. (2013). Multi-robot task planning problem with uncertainty in game theoretic framework. En Advanced Technologies for Intelligent Systems of National Border Security. Springer. 69-80. doi:10.1007/978-3-642-31665-4_6

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Título: Multi-robot task planning problem with uncertainty in game theoretic framework
Autor: Skrzypczyk, Krzysztof Mellado Arteche, Martín
Entidad UPV: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Fecha difusión:
Resumen:
An efficiency of an multi-robot systems depends on proper coordinating tasks of all robots. This paper presents a game theoretic approach to modelling and solving the pick-up and collection problem. The classical form of ...[+]
Palabras clave: Task planning , Game theory
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-642-31664-7
Fuente:
Advanced Technologies for Intelligent Systems of National Border Security. (issn: 1860-949X )
DOI: 10.1007/978-3-642-31665-4_6
Editorial:
Springer
Versión del editor: http://link.springer.com/chapter/10.1007/978-3-642-31665-4_6
Serie: Studies in Computational Intelligence;440
Descripción: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-31665-4_6
Tipo: Capítulo de libro

References

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Alami, R., et al.: Toward human-aware robot task planning. In: Proc. of AAAI Spring Symposium, Stanford (USA), pp. 39–46 (2006)

Baioletti, M., Marcugini, S., Milani, A.: Task Planning and Partial Order Planning: A Domain Transformation Approach. In: Steel, S. (ed.) ECP 1997. LNCS, vol. 1348. Springer, Heidelberg (1997)

Desouky, S.F., Schwartz, H.M.: Self-learning Fuzzy logic controllers for pursuit-evasion differential games. Robotics and Autonomous Systems (2010), doi:10.1016/j.robot.2010.09.006

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