Towards Learning Basic Object Affordances from Object Properties

The capacity for learning to recognize and exploit environmental affordances is an im-portant consideration for the design of current and future developmental robotic systems. We present a system that uses a robotic arm, camera systems and self-organizing maps to learn basic affordances of objects. 1