2016
Oh, Y., Sutanto, G., Mistry, M., Schweighofer, N., Schaal, S.
Distinct adaptation to abrupt and gradual torque perturbations with a multi-joint exoskeleton robot
Abstracts of Neural Control of Movement Conference (NCM 2016), Montego Bay, Jamaica, April 2016 (poster)
2014
Meier, F., Hennig, P., Schaal, S.
Local Gaussian Regression
arXiv preprint, March 2014, clmc (misc)
Kalakrishnan, M.
Learning objective functions for autonomous motion generation
University of Southern California, University of Southern California, Los Angeles, CA, 2014 (phdthesis)
Pastor, P.
Data-driven autonomous manipulation
University of Southern California, University of Southern California, Los Angeles, CA, 2014 (phdthesis)
2011
Theodorou, E. A.
Iterative path integral stochastic optimal control: Theory and applications to motor control
University of Southern California, University of Southern California, Los Angeles, CA, 2011 (phdthesis)
2009
Ting, J.
Bayesian Methods for Autonomous Learning Systems (Phd Thesis)
Department of Computer Science, University of Southern California, Los Angeles, CA, 2009, clmc (phdthesis)
2004
D’Souza, A
Towards Tractable Parameter-Free Statistical Learning (Phd Thesis)
Department of Computer Science, University of Southern California, Los Angeles, 2004, clmc (phdthesis)
1992
Schaal, S.
Integrierte Wissensverarbeitung mit CAD am Beispiel der konstruktionsbegleitenden Kalkulation (Ways to smarter CAD Systems)
Hanser 1992. (Konstruktionstechnik München Band 8). Zugl. München: TU Diss., München, 1992, clmc (book)