• DocumentCode
    3079044
  • Title

    Developing Central Pattern Generator based periodic motions using tactile interaction

  • Author

    DallaLibera, Fabio ; Minato, Takashi ; Ishiguro, Hiroshi ; Menegatti, Emanuele

  • Author_Institution
    Dept. of Inf. Eng. (DEI), Univ. of Padua, Padova, Italy
  • fYear
    2009
  • fDate
    7-10 Dec. 2009
  • Firstpage
    105
  • Lastpage
    112
  • Abstract
    Controlling robots by Central Pattern Generators (CPGs) is a widespread bio-inspired technique for the realization of robot motions. The numerous parameters of the CPGs, often specialized for a specific task, are usually set by automatic techniques like genetic algorithms or policy gradient. However, using these approaches leaves the users with little control on the resulting motion, which can be modified only by changing the evaluation function. Conversely manually setting each parameter gives the user full control over the motion, but identifying which parameters should be altered to obtain a desired effect is not intuitive and therefore developing motion requires time and effort. We present a system that allows programming the CPG parameters by interacting with the robot and in particular by intuitively touching the robot, giving the user full control on the resulting motion without requiring a direct modification of the parameter values.
  • Keywords
    centralised control; motion control; robot dynamics; touch (physiological); bio-inspired technique; central pattern generator; genetic algorithms; motion control; periodic motions; policy gradient; robot motions; tactile interaction; Automatic control; Automatic generation control; Centralized control; Control systems; Genetic algorithms; Motion control; Robot control; Robot motion; Robot programming; Robotics and automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanoid Robots, 2009. Humanoids 2009. 9th IEEE-RAS International Conference on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-4597-4
  • Electronic_ISBN
    978-1-4244-4588-2
  • Type

    conf

  • DOI
    10.1109/ICHR.2009.5379591
  • Filename
    5379591