A framework for the development of autonomous unmanned systems is presented in this paper. This framework is based on the belief that autonomy is the outcome of an intelligent decision-making process that enables a system to maximize its own survival within its operating constraints. The guiding principles of this approach, as applied to autonomous unmanned ground vehicles (AUGVs) are included. This interpretation of survivability is based on insights from cognitive science, psychology, and animal behaviour, we adopt a biologically-inspired approach by considering the needs and emotions of an autonomous system, and it is the ability of the system to fulfil these needs that contributes to its survival, as is the case with living creatures. Within this framework, survivability emerges from the process of determining the behaviour, or sequence of behaviours that maximizes the probability of meeting the needs of the system. Such an interpretation is purported to be conducive for the emergence of intelligence and autonomy in unmanned systems. This paper presents a description of the proposed framework and a case study as applied to a personal, man-transportable AUGV where the application of these concepts are formulated and simulated for verification purposes.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A survivability framework for the development of autonomous unmanned systems


    Beteiligte:


    Erscheinungsdatum :

    2006


    Format / Umfang :

    6 Seiten, 20 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





    Unmanned Aerial System Survivability

    Hall, David / Dexter, Ronald / Ray, Michael | AIAA | 2009


    Unmanned Aerial System Survivability

    Hall, D. / Dexter, R. / Ray, M. | British Library Conference Proceedings | 2009


    Aircraft Survivability: Unmanned Aircraft Systems, Fall 2005

    D. Lindell / K. R. Croshwaite / S. M. Summer et al. | NTIS | 2005


    High-survivability long-period intelligent unmanned vehicle

    DENG RUI / WANG SHIGANG / LUO FUQIANG et al. | Europäisches Patentamt | 2021

    Freier Zugriff