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The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functions. A humanoid robot, with a recurrent neural network that has a hierarchical structure, learns to manipulate objects. Robots learn tasks in repeated self-trials with the assistance of human interaction which provides physical guidance until tasks are mastered and learning is consolidated within neural networks.doi:10.1109/tsmcb.2007.907738 pmid:18270081 fatcat:ygitrze2ynaaxcfrbd43ek2kqm