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Artificial Intelligence in Theory and Practice III

Volume 331 of the series IFIP Advances in Information and Communication Technology pp 79-88

Learning Motor Control by Dancing YMCA

  • Rikke Amilde LÄvlidAffiliated withDepartment of Computer and Information Science, Norwegian University of Science and Technology

Abstract

To be able to generate desired movements a robot needs to learn which motor commands move the limb from one position to another. We argue that learning by imitation might be an efficient way to acquire such a function, and investigate favorable properties of the movement used during training in order to maximize the control system’s generalization capabilities. Our control system was trained to imitate one particular movement and then tested to see if it can imitate other movements without further training.