Towards Learning Basic Object Affordances from Object Properties

The capacity for learning to recognize and exploit environmental affordances is an important 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.