Quantify distinguishability in robotics

التفاصيل البيبلوغرافية
العنوان: Quantify distinguishability in robotics
المؤلفون: Hazan, Aurélien, Davesne, Frédéric, Vigneron, Vincent, Maaref, Hichem
المساهمون: Informatique, Biologie Intégrative et Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), ACI CTI APCSM
المصدر: Proceedings of the 9th International Conference on Intelligent Autonomous Systems ; 9th International Conference on Intelligent Autonomous Systems (IAS-9) ; https://hal.science/hal-00203676 ; 9th International Conference on Intelligent Autonomous Systems (IAS-9), Mar 2006, Tokyo, France. pp.425-432
بيانات النشر: HAL CCSD
سنة النشر: 2006
المجموعة: Université d'Évry-Val-d'Essonne: HAL
مصطلحات موضوعية: mobile robotics, dynamical systems, interval analysis, discrimination, [SCCO.COMP]Cognitive science/Computer science
جغرافية الموضوع: Tokyo, France
الوصف: International audience ; Through a Dynamical Systems approach to robotics, we introduce a measure of distinguishability between different behaviours of a robot, in an uncertain context, thanks to interval analysis.
نوع الوثيقة: conference object
اللغة: English
الاتاحة: https://hal.science/hal-00203676
https://hal.science/hal-00203676v1/document
https://hal.science/hal-00203676v1/file/hazan_IAS9.pdf
Rights: info:eu-repo/semantics/OpenAccess
رقم الانضمام: edsbas.B722B9EB
قاعدة البيانات: BASE