Where are you?

  • Authors:
  • William M. Spears;Jerry C. Hamann;Paul M. Maxim;Thomas Kunkel;Rodney Heil;Dimitri Zarzhitsky;Diana F. Spears;Christer Karlsson

  • Affiliations:
  • Computer Science Department, University of Wyoming, Laramie, WY;Computer Science Department, University of Wyoming, Laramie, WY;Computer Science Department, University of Wyoming, Laramie, WY;Computer Science Department, University of Wyoming, Laramie, WY;Computer Science Department, University of Wyoming, Laramie, WY;Computer Science Department, University of Wyoming, Laramie, WY;Computer Science Department, University of Wyoming, Laramie, WY;Computer Science Department, University of Wyoming, Laramie, WY

  • Venue:
  • SAB'06 Proceedings of the 2nd international conference on Swarm robotics
  • Year:
  • 2006

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Abstract

The ability of robots to quickly and accurately localize their neighbors is extremely important in swarm robotics. Prior approaches generally rely either on global information provided by GPS, beacons, and landmarks, or complex local information provided by vision systems. In this paper we provide a new technique, based on trilateration. This system is fully distributed, inexpensive, scalable, and robust. In addition, the system provides a unified framework that merges localization with information exchange between robots. The usefulness of this framework is illustrated on a number of applications.