We present a new learning-based approach for the representation of complex motion patterns that is based on the linear combination of prototypical movement sequences that can be used in clinical gait...
Disruption of Primary Motor Cortex before Learning Impairs Memory of Movement Dynamics (2008)
Matthias Maschke, Christopher M. Gomez, Timothy J. Ebner, J. Izawa, T. Rane, O. Donchin, ...
You might find this additional information useful... This article cites 47 articles, 20 of which you can access free at:
The influence of focal cerebellar lesions on the control and adaptation of gait (2008)
Ilg, W., Giese, M. A., Gizewski, E. R., Schoch, B., Timmann, D.
Cerebellar ataxic gait is influenced greatly by balance disorders, most likely caused by lesions of the medial zone of the cerebellum. The contributions of the intermediate and lateral zone to the...
On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics (2003)
Ilg,W., Bakir,G.H., Mezger,J., Giese,M.A.
In this paper we present a learning-based approach for the modelling of complex movement sequences. Based on the method of Spatio-Temporal Morphable Models (STMMS. We derive a hierarchical algorithm...
On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics (2003)
Ilg, W., Bakir, G.H., Mezger, J., Giese, M.A.
In this paper we present a learning-based approach for the modelling of complex movement sequences. Based on the method of Spatio-Temporal Morphable Models (STMMS. We derive a hierarchical algorithm...
W. Ilg, G. H. Bakır, M. O. Franz, M. A. Giese
Imitation learning is a promising technique for teaching robots complex movement sequences. One key problem in this area is the transfer of perceived movement characteristics from perception to...
BMBF-Machbarkeitsuntersuchung LAOKOON: Abschlußbericht; 15. März 1996 (1996)
Berns, K., Cordes, S., DiPrimio, F., Eberl, M., Hertzberg, J., ...
Using Neural Networks For Real-World Adaptive Control (1995)
M. Kaiser, M. Deck, A. Retey, K. Berns, W. Ilg, R. Dillmann
This paper discusses the design of neural networks to solve specific problems of adaptive control. In particular, it investigates the influence of typical problems arising in real-world control tasks...