Learning potential functions from human demonstrations with encapsulated dynamic and compliant behaviors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10514-015-9528-y.pdf
Reference51 articles.
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3. Buchli, J., Stulp, F., Theodorou, E., & Schaal, S. (2011). Learning variable impedance control. The International Journal of Robotics Research, 30(7), 820–833.
4. Calinon, S., D’halluin, F., Sauser, E. L., Caldwell, D. G., & Billard, A. G. (2010a). Learning and reproduction of gestures by imitation: An approach based on Hidden Markov Model and Gaussian Mixture Regression. IEEE Robotics and Automation Magazine, 17(2), 44–54.
5. Calinon, S., Sardellitti, I., & Caldwell, D. G. (2010b). Learning-based control strategy for safe human-robot interaction exploiting task and robot redundancies. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 249–254).
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