• DocumentCode
    2224165
  • Title

    An insect-based approach to autonomous mobile robot navigation

  • Author

    Pradel, Gilbert ; Jin, Zhe-kun

  • Author_Institution
    Lab. d´´Electr., Signaux et Robotique, Ecole Normale Superieure, Paris, France
  • fYear
    1993
  • fDate
    15-19 Nov 1993
  • Firstpage
    1448
  • Abstract
    Autonomy is an important capacity to a robot which works in the circumstances of real world. Navigating a robot in an unfamiliar terrain is a major topic of autonomy. This paper presents an insect-based approach to autonomous mobile robot navigation in an unknown world. In the “N-antennae robot method”, the robot is considered as an simple insect with N antennae with which it detects the surrounding environment. Each antenna is activated if it hits an obstacle. The robot architecture is presented and different levels of behavior are defined. The N-antennae robot method is then described. It can be divided into 4 parts: 1. Simulation of an antenna, 2. Relations between the environment and the antennae status, 3. Principles of “N-antennae robot” method, 4. Rule format and program structure. The method was programmed and tested in various environments. Several are only simulated, others are reals. An example of the robot´s path illustrates the method. We conclude on the efficiency of the method and we present future developments of this approach using a multi-agent system
  • Keywords
    computerised navigation; mobile robots; autonomous mobile robot navigation; insect-based approach; Computer architecture; Insects; Intelligent robots; Laser modes; Mobile robots; Navigation; Orbital robotics; Path planning; Robot sensing systems; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
  • Conference_Location
    Maui, HI
  • Print_ISBN
    0-7803-0891-3
  • Type

    conf

  • DOI
    10.1109/IECON.1993.339282
  • Filename
    339282