Realizing an assembly task through virtual capture

Modern manufacturing strategy requires the robotic infrastructure to be able to adapt to new products or to accomplish new tasks quickly. In order to respond to this demand, teaching a robot to realize a task by demonstration has regained popularity in recent years, especially for dual-arm or humanoid robots. One of the main issues using this method is to adapt the captured motion from the human demonstration to the robot's specific kinematics and control. In this paper we present a method where the motion and grasping adaptation is tackled during the capture. We demonstrate the validity of this method with an experiment where a humanoid robot realizes an assembly previously demonstrated by a user wearing a Head Mounted Display (HMD) performing an assembly task in a virtual environment.