We describe the design of an architecture for an intelligent integrated mission planner for autonomous underwater vehicles (AUVs). Mission planning is an integral and important part of the software architecture of an AUV. Among the several functional modules of an AUV such as planner, controller, navigator, and perception, the planner plays the key role in generating, monitoring, and controlling of all mission tasks. In order to perform complex missions, the planner needs a wide range of knowledge and efficient reasoning techniques. Mission planning involves navigational planning, resource planning, safety planning, and mission-specific task planning. These functions require reasoning about the knowledge of the environment, vehicle, on-board resources, and mission tasks. The proposed design employs a mixture of hierarchical and heterarchical architectures. Case-based reasoning is employed for synthesizing mission plans. Among the different planner modules, design details of the navigational planner have been elaborated. The approach integrates advanced artificial intelligence techniques with AUV control architecture to make mission planning and execution simpler and flexible. The design takes into consideration the limited availability of AUV resources, scalability, and portability to other autonomous systems.


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    Titel :

    Intelligent mission planner for autonomous underwater vehicles


    Beteiligte:
    Vasudevan, C. (Autor:in) / Ganesan, K. (Autor:in)

    Kongress:

    Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry ; 1994 ; Orlando,FL,United States


    Erschienen in:

    Erscheinungsdatum :

    01.03.1994





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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