• DocumentCode
    3347481
  • Title

    Team-level properties for haptic human-swarm interactions

  • Author

    Setter, Tina ; Kawashima, Hiroaki ; Egerstedt, Magnus

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    453
  • Lastpage
    458
  • Abstract
    This paper explores how haptic interfaces should be designed to enable effective human-swarm interactions. When a single operator is interacting with a team of mobile robots, there are certain properties of the team that may help the operator complete the task at hand if these properties were fed back via haptics. However, not all team-level properties may be particularly well-suited for haptic feedback. In this paper, characteristics that make a property of a multi-agent system appropriate for haptic feedback are defined. The focus here is on leader-follower networks, in which one robot, the so-called leader, is controlled via an operator with a haptic device, whereas the remaining robots, the so-called followers, are tasked with maintaining distances between one another. Multi-agent manipulability, a property which describes how effective the leader is at controlling the movement of the followers, is proposed as one such appropriate property for haptic feedback in a human-swarm interaction scenario. Manipulability feedback is implemented using a PHANTOM Omni haptic joystick and experiments in which a team of mobile robots is controlled via a human operator with access to this feedback show that this is viable in practice.
  • Keywords
    control engineering computing; haptic interfaces; human-robot interaction; mobile robots; multi-robot systems; PHANTOM Omni haptic joystick; follower robot; haptic feedback; haptic human-swarm interaction; haptic interfaces; leader robot; leader-follower networks; manipulability feedback; mobile robots; multi-agent manipulability property; multi-agent system; team-level property; Approximation methods; Force; Force feedback; Mobile robots; Robot kinematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7170777
  • Filename
    7170777