• DocumentCode
    2594252
  • Title

    Gait generation based on Mimic-Reactive Architecture

  • Author

    Takita, Kensuke ; Suzuki, Keiji ; Kakazu, Yukinori

  • Author_Institution
    Lab. of Autom. Syst. Eng., Hokkaido Univ., Sapporo, Japan
  • Volume
    2
  • fYear
    1997
  • fDate
    28-31 Oct 1997
  • Firstpage
    1097
  • Abstract
    A new architecture called the “Mimic-Reactive Architecture” for the design of autonomous robots is presented. It is a practical methodology aimed at the easy design of autonomous robot systems in order to achieve enhanced survival. Experiments with a real legged robot are presented in order to probe their validity as methodologies for agent design. In the proposed method, the higher-level agents generate “mimic information” to use the reactive rules of the lower-level agents. The information is applied to sensory input. Mimic-reactive systems act according to such mimic information. As a result, the system avoids failure through critical impacts caused by imprudent implementation of higher-level agents, because the reactive engine in the lower-level agents gives sufficient survivability and reactivity and there is no direct connection between the higher-level agents, which is usually complex and needs a certain amount of time to process
  • Keywords
    intelligent control; legged locomotion; software agents; software fault tolerance; Mimic-Reactive Architecture; agent design; autonomous robot design methodology; critical impacts; enhanced survival; gait generation; higher-level agents; legged robot; lower-level agents; mimic information; reactive rules; sensory input; survivability; Autonomous agents; Design engineering; Design methodology; Engines; Laboratories; Legged locomotion; Probes; Robot sensing systems; Robustness; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-4253-4
  • Type

    conf

  • DOI
    10.1109/ICIPS.1997.669151
  • Filename
    669151