Bohg, J., Hausman, K., Sankaran, B., Brock, O., Kragic, D., Schaal, S., Sukhatme, G.
Interactive Perception: Leveraging Action in Perception and Perception in Action
IEEE Transactions on Robotics, 33, pages: 1273-1291, December 2017 (article)
Li, W., Bohg, J., Fritz, M.
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning
arXiv, November 2017 (article) Submitted
Trimpe, S.
Event-based State Estimation: An Emulation-based Approach
IET Control Theory & Applications, 11(11):1684-1693, July 2017 (article)
Garcia Cifuentes, C., Issac, J., Wüthrich, M., Schaal, S., Bohg, J.
Probabilistic Articulated Real-Time Tracking for Robot Manipulation
IEEE Robotics and Automation Letters (RA-L), 2(2):577-584, April 2017 (article)
Wang, Z., Boularias, A., Mülling, K., Schölkopf, B., Peters, J.
Anticipatory Action Selection for Human-Robot Table Tennis
Artificial Intelligence, 247, pages: 399-414, 2017, Special Issue on AI and Robotics (article)
Peters, J., Lee, D., Kober, J., Nguyen-Tuong, D., Bagnell, J., Schaal, S.
Robot Learning
In Springer Handbook of Robotics, pages: 357-394, 15, 2nd, (Editors: Siciliano, Bruno and Khatib, Oussama), Springer International Publishing, 2017 (inbook)
Bohg, J., Kragic, D.
Learning Grasping Points with Shape Context
Robotics and Autonomous Systems, 58(4):362-377, North-Holland Publishing Co., Amsterdam, The Netherlands, The Netherlands, April 2010 (article)
Peters, J., Kober, J., Schaal, S.
Policy learning algorithmis for motor learning (Algorithmen zum automatischen Erlernen von Motorfähigkigkeiten)
Automatisierungstechnik, 58(12):688-694, 2010, clmc (article)
Ting, J., DSouza, A., Schaal, S.
A Bayesian approach to nonlinear parameter identification for rigid-body dynamics
Neural Networks, 2010, clmc (article)
Theodorou, E. A., Todorov, E., Valero-Cuevas, F.
A first optimal control solution for a complex, nonlinear, tendon driven neuromuscular finger model
Proceedings of the ASME 2010 Summer Bioengineering Conference August 30-September 2, 2010, Naples, Florida, USA, 2010, clmc (article)
Ting, J., Vijayakumar, S., Schaal, S.
Locally weighted regression for control
In Encyclopedia of Machine Learning, pages: 613-624, (Editors: Sammut, C.;Webb, G. I.), Springer, 2010, clmc (inbook)
Ting, J., D’Souza, A., Vijayakumar, S., Schaal, S.
Efficient learning and feature detection in high dimensional regression
Neural Computation, 22, pages: 831-886, 2010, clmc (article)
Theodorou, E., Tassa, Y., Todorov, E.
Stochastic Differential Dynamic Programming
In the proceedings of American Control Conference (ACC 2010) , 2010, clmc (article)
Schaal, S., Atkeson, C. G.
Learning control in robotics – trajectory-based opitimal control techniques
Robotics and Automation Magazine, 17(2):20-29, 2010, clmc (article)
Kalakrishnan, M., Buchli, J., Pastor, P., Mistry, M., Schaal, S.
Learning, planning, and control for quadruped locomotion over challenging terrain
International Journal of Robotics Research, 30(2):236-258, 2010, clmc (article)
Peters, J., Schaal, S.
Learning to control in operational space
International Journal of Robotics Research, 27, pages: 197-212, 2008, clmc (article)
M. Mistry, E. A. G. L. T. Y. S. S. M. K.
Adaptation to a sub-optimal desired trajectory
Advances in Computational Motor Control VII, Symposium at the Society for Neuroscience Meeting, Washington DC, 2008, 2008, clmc (article)
Nakanishi, J., Cory, R., Mistry, M., Peters, J., Schaal, S.
Operational space control: A theoretical and emprical comparison
International Journal of Robotics Research, 27(6):737-757, 2008, clmc (article)
Klanke, S., Vijayakumar, S., Schaal, S.
A library for locally weighted projection regression
Journal of Machine Learning Research, 9, pages: 623-626, 2008, clmc (article)
Hoffmann, H., Theodorou, E., Schaal, S.
Optimization strategies in human reinforcement learning
Advances in Computational Motor Control VII, Symposium at the Society for Neuroscience Meeting, Washington DC, 2008, 2008, clmc (article)
Schaal, S.
The new robotics - towards human-centered machines
HFSP Journal Frontiers of Interdisciplinary Research in the Life Sciences, 1(2):115-126, 2007, clmc (article)
Schaal, S, Mohajerian, P., Ijspeert, A.
Dynamics systems vs. optimal control ? a unifying view
In Progress in Brain Research, (165):425-445, 2007, clmc (inbook)
Miyamoto, H., Schaal, S., Gandolfo, F., Koike, Y., Osu, R., Nakano, E., Wada, Y., Kawato, M.
A Kendama learning robot based on bi-directional theory
Neural Networks, 9(8):1281-1302, 1996, clmc (article)
Schaal, S., Atkeson, C. G.
From isolation to cooperation: An alternative of a system of experts
In Advances in Neural Information Processing Systems 8, pages: 605-611, (Editors: Touretzky, D. S.;Mozer, M. C.;Hasselmo, M. E.), MIT Press, Cambridge, MA, 1996, clmc (inbook)
Schaal, S., Sternad, D., Atkeson, C. G.
One-handed juggling: A dynamical approach to a rhythmic movement task
Journal of Motor Behavior, 28(2):165-183, 1996, clmc (article)
Ehrlenspiel, K., Schaal, S.
Ways to smarter CAD-systems
In Proceedings of ICED’91Heurista, pages: 10-16, (Editors: Hubka), Edition, Schriftenreihe WDK 21. Zürich, 1991, clmc (inbook)