• DocumentCode
    493363
  • Title

    Hierarchical optimal control of a 7-DOF arm model

  • Author

    Liu, Dan ; Todorov, Emanuel

  • Author_Institution
    Dept. of Cognitive Sci., UC San Diego, San Diego, CA
  • fYear
    2009
  • fDate
    March 30 2009-April 2 2009
  • Firstpage
    50
  • Lastpage
    57
  • Abstract
    We apply a hierarchical control framework to a realistic arm model. With 7 degrees of freedom and 14 muscles, this arm model has complex nonlinear dynamics operating on 28-dimensional state space and 14-dimensional control space. A high-level controller is designed to capture the main features of the complex high-dimensional plant dynamics but with reduced dimensionality. This allows us to solve the original optimal control problem without running into the curse of dimensionality. We also provide a method to design a low-level controller to generate arm configurations that are consistent with high-level controls and at the same time satisfy biological constraints. To the best of our knowledge, this is the first feedback controller for a detailed 3-D model of a human arm.
  • Keywords
    control system synthesis; feedback; manipulator dynamics; nonlinear dynamical systems; optimal control; 14-dimensional control space; 28-dimensional state space; 7-DOF arm model; biological constraints; complex nonlinear dynamics; feedback controller; hierarchical optimal control; high-level controller; realistic arm model; Adaptive control; Biological control systems; Biological system modeling; Circuits; Design methodology; Humans; Muscles; Optimal control; State-space methods; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Dynamic Programming and Reinforcement Learning, 2009. ADPRL '09. IEEE Symposium on
  • Conference_Location
    Nashville, TN
  • Print_ISBN
    978-1-4244-2761-1
  • Type

    conf

  • DOI
    10.1109/ADPRL.2009.4927525
  • Filename
    4927525