SlingDrone: Mixed reality system for pointing and interaction using a single drone

Evgeny Tsykunov, Roman Ibrahimov, Derek Vasquez, Dzmitry Tsetserukou

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)

    Abstract

    We propose SlingDrone, a novel Mixed Reality interaction paradigm that utilizes a micro-quadrotor as both pointing controller and interactive robot with a slingshot motion type. The drone attempts to hover at a given position while the human pulls it in desired direction using a hand grip and a leash. Based on the displacement, a virtual trajectory is defined. To allow for intuitive and simple control, we use virtual reality (VR) technology to trace the path of the drone based on the displacement input. The user receives force feedback propagated through the leash. Force feedback from SlingDrone coupled with visualized trajectory in VR creates an intuitive and user friendly pointing device. When the drone is released, it follows the trajectory that was shown in VR. Onboard payload (e.g. magnetic gripper) can perform various scenarios for real interaction with the surroundings, e.g. manipulation or sensing. Unlike HTC Vive controller, SlingDrone does not require handheld devices, thus it can be used as a standalone pointing technology in VR.

    Original languageEnglish
    Title of host publicationProceedings - VRST 2019
    Subtitle of host publication25th ACM Symposium on Virtual Reality Software and Technology
    EditorsStephen N. Spencer
    PublisherAssociation for Computing Machinery
    ISBN (Electronic)9781450370011
    DOIs
    Publication statusPublished - 12 Nov 2019
    Event25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019 - Sydney, Australia
    Duration: 12 Nov 201915 Nov 2019

    Publication series

    NameProceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST

    Conference

    Conference25th ACM Symposium on Virtual Reality Software and Technology, VRST 2019
    Country/TerritoryAustralia
    CitySydney
    Period12/11/1915/11/19

    Keywords

    • Haptics
    • Human-robot interaction
    • Mixed reality
    • Quadrotor

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