Abstract
We addressed the idea that a hybrid of symbolic and sub-symbolic representations is the best method to represent cognition for developmental robots. Basing the learning mechanisms of a cognitive developmental robot on principles of human-like learning, we developed an intelligent grasping robot architecture based on the hierarchical learning. The hybrid of different representations and memory in IGR also gave a new direction for developing robots with high intelligence.
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