DROCS: Distributed multi-robot on-demand control system

Woong Gyu La, Seungho Yoo, Hwangnam Kim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    We propose a network-enabled platform for multiple robots. With the advance of robotics, robots penetrate into our daily lives, and the number of robots is continuously increasing. As the performance of the robots increased, the sphere of activities also increased. And this leads communication distance among robots longer. In environment with multiple robots in wide area, communication among robots become important. However, the most popular robotics system, the Robot Operating System, assumes that the network is providing a confident communication. This might lead overall system failure when master node of the system could not communicate with other nodes. Also the ROS's publish-subscribe model's anonymous communication became a barrier to efficient neighbor management. To complement the glitches of powerful system, we proposed system, DROCS, which supports network function. Further, it provides a useful high-level functions for applications which runs multiple robots. With our implementation, the proposed system achieves network management and neighbor-awareness of multiple robot system.

    Original languageEnglish
    Title of host publication2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1448-1453
    Number of pages6
    ISBN (Electronic)9781538637418
    DOIs
    Publication statusPublished - 2017 Jul 2
    Event2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017 - Macau, China
    Duration: 2017 Dec 52017 Dec 8

    Publication series

    Name2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
    Volume2018-January

    Other

    Other2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
    Country/TerritoryChina
    CityMacau
    Period17/12/517/12/8

    Bibliographical note

    Publisher Copyright:
    © 2017 IEEE.

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Mechanical Engineering
    • Control and Optimization
    • Modelling and Simulation

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