Výsledky vyhledávání - "Computing methodologies Artificial intelligence Planning and scheduling Multi-agent planning"

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  1. 1

    Mandala: an agent-based platform to support interoperability in systems-of-systems Autor Mendes, Altair, Loss, Stefano, Cavalcante, Everton, Lopes, Frederico, Batista, Thais

    ISBN: 1450357474, 9781450357470
    Vydáno: New York, NY, USA ACM 29.05.2018
    “…A particular challenge to the construction of systems-of-systems (SoS) is the high heterogeneity of their constituent systems, thereby making interoperability…”
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  2. 2

    Social Momentum: A Framework for Legible Navigation in Dynamic Multi-Agent Environments Autor Mavrogiannis, Christoforos I., Thomason, Wil B., Knepper, Ross A.

    ISBN: 9781450349536, 1450349536
    ISSN: 2167-2148
    Vydáno: New York, NY, USA ACM 26.02.2018
    “…Intent-expressive robot motion has been shown to result in increased efficiency and reduced planning efforts for copresent humans. Existing frameworks for…”
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  3. 3

    Planning with Partner Uncertainty Modeling for Efficient Information Revealing in Teamwork Autor Lo, Shih-Yun, Short, Elaine Schaertl, Thomaz, Andrea L.

    ISBN: 1450367461, 9781450367462
    ISSN: 2167-2148
    Vydáno: New York, NY, USA ACM 09.03.2020
    “…Communication among team members is important for efficient teamwork, to coordinate behavior and ensure that all team members have the information they need to…”
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  4. 4

    Provably-correct coordination of large collections of agents with counting temporal logic constraints Autor Sahin, Yunus Emre, Nilsson, Petter, Ozay, Necmiye

    ISBN: 9781450349659, 145034965X
    Vydáno: New York, NY, USA ACM 18.04.2017
    “…In this paper, we consider the problem of coordinating a large collection of homogeneous agents subject to a novel class of constraints: counting temporal…”
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  5. 5

    Sampling-based control synthesis for multi-robot systems under global temporal specifications Autor Kantaros, Yiannis, Zavlanos, Michael M.

    ISBN: 9781450349659, 145034965X
    Vydáno: New York, NY, USA ACM 18.04.2017
    “…This paper proposes a sampling-based algorithm for multi-robot control synthesis under global Linear Temporal Logic (LTL) formulas. Robot mobility is captured…”
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