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Number of items: 6.

Manschitz, S. and Gienger, M. and Kober, J. and Peters, J. (2018):
Mixture of Attractors: A novel Movement Primitive Representation for Learning Motor Skills from Demonstrations.
In: IEEE Robotics and Automation Letters, 3 (2), pp. 926-933. ISSN 2377-3766, 2377-3774 (elektronisch),
[Article]

Manschitz, S. and Gienger, M. and Kober, J. and Peters, J. (2016):
Probabilistic Decomposition of Sequential Force Interaction Tasks into Movement Primitives.
Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Conference or Workshop Item]

Manschitz, S. and Kober, J. and Gienger, M. and Peters, J. (2015):
Learning Movement Primitive Attractor Goals and Sequential Skills from Kinesthetic Demonstrations.
In: Robotics and Autonomous Systems, 74, pp. 97-107. [Article]

Manschitz, S. and Kober, J. and Gienger, M. and Peters, J. (2015):
Probabilistic Progress Prediction and Sequencing of Concurrent Movement Primitives.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS),
[Conference or Workshop Item]

Manschitz, S. and Kober, J. and Gienger, M. and Peters, J. (2014):
Learning to Sequence Movement Primitives from Demonstrations.
IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), Chicago, IL, September 2014, [Conference or Workshop Item]

Manschitz, S. and Kober, J. and Gienger, M. and Peters, J. (2014):
Learning to Unscrew a Light Bulb from Demonstrations.
In: Proceedings for the joint conference of 45th International Symposium on Robotics and 8th German Conference on Robotics 2 - 3 June 2014, Munich, Germany 2014, 807 Seiten, Papiertasche, CD-Rom ISBN 97,
Proceedings of ISR/ROBOTIK 2014, München, 2-3 June 2014, [Conference or Workshop Item]

This list was generated on Tue Jan 19 00:41:06 2021 CET.