learning object affordances: from sensory - motor coordination to imitation
Author(s): Luis Montesano, Manuel Lopes, Alexandre Bernardino, Member, IEEE, Jose Santos-Victor
Venue: IEEE Transactions on Robotics (Volume 24, Issue 1)
Year Published: 2008
Keywords: humanoid robotics, learning from demonstration, planning
Expert Opinion: Affordances have been very influential in robotics in the last decade and this study laid the foundations of affordance-based robot learning research that emphasizes importance of exploration; and learning the relation between objects, actions and the observed effects. They showed how learned affordances can be used for goal-oriented action execution and for imitation.