Goal-directed imitation for robots: A bio-inspired approach to action understanding and skill learning
SourceRobotics and Autonomous Systems, 54, 5, (2006), pp. 353-360
Article / Letter to editor
Display more detailsDisplay less details
SW OZ BSI SCP
SW OZ DCC CO
SW OZ NICI CO
Robotics and Autonomous Systems
SubjectAction, intention, and motor control
In this paper we present a robot control architecture for learning by imitation which takes inspiration from recent discoveries in action observation/execution experiments with humans and other primates. The architecture implements two basic processing principles: (1) imitation is primarily directed toward reproducing the outcome of an observed action sequence rather than reproducing the exact action means, and (2) the required capacity to understand the motor intention of another agent is based on motor simulation. The control architecture is validated in a robot system imitating in a goal-directed manner a grasping and placing sequence displayed by a human model. During imitation, skill transfer occurs by learning and representing appropriate goal-directed sequences of motor primitives. The robustness of the goal-directed organization of the controller is tested in the presence of incomplete visual information and changes in environmental constraints.
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.