Many planning applications are theoretically intractable or unable to be solved in a practical amount of time by a human or a computer alone. Typical approaches involve a significant number of heuristics in an effort to deal with the complexity of the problem; limited decision support is provided for a human. An alternative is to integrate a human with the algorithms, so they can become partners. This paper describes an experimental study of such integration using a command and control resource allocation and planning system. The plans created with human involvement in the algorithms are compared to those created by the machine alone. Two levels of human-machine collaboration are studied, one in which the human completes a subproblem independently and the other in which the machine provides support. The results show that improved solutions are achieved when a human is aided by machine support in completing the subproblem.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Experimental evaluation of human-machine collaborative algorithms in planning for multiple UAVs


    Beteiligte:
    Malasky, J. (Autor:in) / Forest, L.M. (Autor:in) / Kahn, A.C. (Autor:in) / Key, J.R. (Autor:in)


    Erscheinungsdatum :

    2005


    Format / Umfang :

    7 Seiten, 8 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Experimental performance evaluation of various path planning algorithms for obstacle avoidance in UAVs

    S, Dawnee / Kumar, Murali Manohar S / Jayanth, Sushanth et al. | IEEE | 2019



    A fuzzy virtual force based approach to multiple UAVs collaborative path planning

    Jun-yan, Lu / Zhuo-ning, Dong / Meng-yue, Zhang | IEEE | 2014


    Path Planning for Multiple UAVs

    Tsourdos, Antonios / White, Brian / Shanmugavel, Madhavan | Wiley | 2010