Dynamical System Modulation for Robot Learning via Kinesthetic Demonstrations

  • Authors:
  • M. Hersch;F. Guenter;S. Calinon;A. Billard

  • Affiliations:
  • Learning Algorithms & Syst. Lab., Ecole Polytech. Fed. de Lausanne, Lausanne;-;-;-

  • Venue:
  • IEEE Transactions on Robotics
  • Year:
  • 2008

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Abstract

We present a system for robust robot skill acquisition from kinesthetic demonstrations. This system allows a robot to learn a simple goal-directed gesture and correctly reproduce it despite changes in the initial conditions and perturbations in the environment. It combines a dynamical system control approach with tools of statistical learning theory and provides a solution to the inverse kinematics problem when dealing with a redundant manipulator. The system is validated on two experiments involving a humanoid robot: putting an object into a box and reaching for and grasping an object.