Learning Robot Behaviour and Skills Based on Human Demonstration and Advice: The Machine Learning Paradigm-Reference-Cited by-同舟云学术

Learning Robot Behaviour and Skills Based on Human Demonstration and Advice: The Machine Learning Paradigm

Published:2000 Issue: Volume: Page:229-238
ISSN:
Container-title:Robotics Research
language:
Short-container-title:

Author:

Dillmann R.,Rogalla O.,Ehrenmann M.,Zöliner R.,Bordegoni M.

Publisher

Springer London

Link

http://link.springer.com/content/pdf/10.1007/978-1-4471-0765-1_28

Reference39 articles.

1. E. W. Aboaf, S. M. Drucker, and C. G. Atkeson. Task-level robot learning: Juggling a tennis ball more accurately. In IEEE International Conference on Robotics and Automation, volume 3, pages 1290–1295, Scottsdale, 1989.

2. H. Asada and S. Liu. Transfer of human skills to neural net robot controllers. In IEEE International Conference on Robotics and Automation, pages 2442–2448, Sacramento, 1991.

3. H. Friedrich, J. Holle, and R. Dillmann. Interactive generation of flexible robot programs. In IEEE International Conference on Robotics and Automation, Leuven, B, 1998. submitted.

4. Sing Bang Kang and Katsushi Ikeuchi. Toward automatic robot instruction from perception — mapping human grasps to manipulator grasps. IEEE Transactions on Robotics and Automation, 13 (1), February 1997.

5. M. Kaiser. Interaktive Akquisition elementarer Roboterfähigkeiten. PhD thesis, Universität Karlsruhe, Fakultät für Informatik, 1996. Erschienen im Infix-Verlag, St. Augustin (DISKI 153 ).

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