Integrierte Wissensverarbeitung mit CAD am Beispiel der konstruktionsbegleitenden Kalkulation. - Stefan Schaal (Hanser, 1992)

Open Loop Stable Control Strategies for Robot Juggling. - Stefan Schaal; Christopher G. Atkeson (ICRA (3), 1993)

Assessing the Quality of Learned Local Models. - Stefan Schaal; Christopher G. Atkeson (NIPS, 1993)

Memory-Based Robot Learning. - Stefan Schaal; Christopher G. Atkeson (ICRA, 1994)

Robot learning by nonparametric regression. - Stefan Schaal; Christopher G. Atkeson (IROS, 1994)

From Isolation to Cooperation: An Alternative View of a System of Experts. - Stefan Schaal; Christopher G. Atkeson (NIPS, 1995)

Memory-based neural networks for robot learning. - Christopher G. Atkeson; Stefan Schaal (Neurocomputing, 1995)

Learning from Demonstration. - Stefan Schaal (NIPS, 1996)

A Kendama Learning Robot Based on Bi-directional Theory. - Hiroyuki Miyamoto; Stefan Schaal; Francesca Gandolfo; Hiroaki Gomi; Yasuharu Koike; Rieko Osu; Eri Nakano; Yasuhiro Wada; Mitsuo Kawato (Neural Networks, 1996)

Local dimensionality reduction for locally weighted learning. - Sethu Vijayakumar; Stefan Schaal (CIRA, 1997)

Robot Learning From Demonstration. - Christopher G. Atkeson; Stefan Schaal (ICML, 1997)

Learning tasks from a single demonstration. - Christopher G. Atkeson; Stefan Schaal (ICRA, 1997)

Local Dimensionality Reduction. - Stefan Schaal; Sethu Vijayakumar; Christopher G. Atkeson (NIPS, 1997)

Locally Weighted Learning. - Christopher G. Atkeson; Andrew W. Moore 001; Stefan Schaal (Artif. Intell. Rev., 1997)

Locally Weighted Learning for Control. - Christopher G. Atkeson; Andrew W. Moore 001; Stefan Schaal (Artif. Intell. Rev., 1997)

Toward biomimetic oculomotor control. - Tomohiro Shibata; Stefan Schaal (IROS, 1998)

Robot gaze stabilization based on mimesis of oculomotor dynamics and vestibulocerebellar learning. - Tomohiro Shibata; Stefan Schaal (Adv. Robotics, 1998)

Constructive Incremental Learning from Only Local Information. - Stefan Schaal; Christopher G. Atkeson (Neural Comput., 1998)

Local Adaptive Subspace Regression. - Sethu Vijayakumar; Stefan Schaal (Neural Process. Lett., 1998)

On-line Learning for Humanoid Robot Systems. - Jörg Conradt; Gaurav Tevatia; Sethu Vijayakumar; Stefan Schaal (ICML, 2000)

Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space. - Sethu Vijayakumar; Stefan Schaal (ICML, 2000)

Real-Time Robot Learning with Locally Weighted Statistical Learning. - Stefan Schaal; Christopher G. Atkeson; Sethu Vijayakumar (ICRA, 2000)

Fast Learning of Biomimetic Oculomotor Control with Nonparametric Regression Networks. - Tomohiro Shibata; Stefan Schaal (ICRA, 2000)

Inverse Kinematics for Humanoid Robots. - Gaurav Tevatia; Stefan Schaal (ICRA, 2000)

Fast and Efficient Incremental Learning for High-Dimensional Movement Systems. - Sethu Vijayakumar; Stefan Schaal (ICRA, 2000)

Humanoid robot for brain research. - Shinya Kotosaka; Stefan Schaal; Tomohiro Shibata (Adv. Robotics, 2000)

Using Humanoid Robots to Study Human Behavior. - Christopher G. Atkeson; Joshua G. Hale; Frank E. Pollick; Marcia Riley; Shinya Kotosaka; Stefan Schaal; Tomohiro Shibata; Gaurav Tevatia; Ales Ude; Sethu Vijayakumar; Mitsuo Kawato (IEEE Intell. Syst., 2000)

Robust learning of arm trajectories through human demonstration. - Aude Billard; Stefan Schaal (IROS, 2001)

Learning inverse kinematics. - Aaron D'Souza; Sethu Vijayakumar; Stefan Schaal (IROS, 2001)

Trajectory formation for imitation with nonlinear dynamical systems. - Auke Jan Ijspeert; Jun Nakanishi; Stefan Schaal (IROS, 2001)

Biomimetic smooth pursuit based on fast learning of the target dynamics. - Tomohiro Shibata; Stefan Schaal (IROS, 2001)

Overt visual attention for a humanoid robot. - Sethu Vijayakumar; Jörg Conradt; Tomohiro Shibata; Stefan Schaal (IROS, 2001)

Biomimetic Oculomotor Control. - Tomohiro Shibata; Sethu Vijayakumar; Jörg Conradt; Stefan Schaal (Adapt. Behav., 2001)

Graph matching vs mutual information maximization for object detection. - Ladan Shams; Mark J. Brady; Stefan Schaal (Neural Networks, 2001)

Biomimetic gaze stabilization based on feedback-error-learning with nonparametric regression networks. - Tomohiro Shibata; Stefan Schaal (Neural Networks, 2001)

Movement Imitation with Nonlinear Dynamical Systems in Humanoid Robots. - Auke Jan Ijspeert; Jun Nakanishi; Stefan Schaal (ICRA, 2002)

Learning rhythmic movements by demonstration using nonlinear oscillators. - Auke Jan Ijspeert; Jun Nakanishi; Stefan Schaal (IROS, 2002)

A locally weighted learning composite adaptive controller with structure adaptation. - Jun Nakanishi; Jay A. Farrell; Stefan Schaal (IROS, 2002)

Learning Attractor Landscapes for Learning Motor Primitives. - Auke Jan Ijspeert; Jun Nakanishi; Stefan Schaal (NIPS, 2002)

Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning. - Stefan Schaal; Christopher G. Atkeson; Sethu Vijayakumar (Appl. Intell., 2002)

Statistical Learning for Humanoid Robots. - Sethu Vijayakumar; Aaron D'Souza; Tomohiro Shibata; Jörg Conradt; Stefan Schaal (Auton. Robots, 2002)

Discovering imitation strategies through categorization of multi-dimensional data. - Aude Billard; Yann Epars; Gordon Cheng; Stefan Schaal (IROS, 2003)

Learning Movement Primitives. - Stefan Schaal; Jan Peters 001; Jun Nakanishi; Auke Jan Ijspeert (ISRR, 2003)

A framework for learning biped locomotion with dynamical movement primitives. - Jun Nakanishi; Jun Morimoto; Gen Endo; Gordon Cheng; Stefan Schaal; Mitsuo Kawato (Humanoids, 2004)

The Bayesian backfitting relevance vector machine. - Aaron D'Souza; Sethu Vijayakumar; Stefan Schaal (ICML, 2004)

Learning Composite Adaptive Control for a Class of Nonlinear Systems. - Jun Nakanishi; Jay A. Farrell; Stefan Schaal (ICRA, 2004)

An empirical exploration of phase resetting for robust biped locomotion with dynamical movement primitives. - Jun Nakanishi; Jun Morimoto; Gen Endo; Gordon Cheng; Stefan Schaal; Mitsuo Kawato (IROS, 2004)

Feedback error learning and nonlinear adaptive control. - Jun Nakanishi; Stefan Schaal (Neural Networks, 2004)

Discovering optimal imitation strategies. - Aude Billard; Yann Epars; Sylvain Calinon; Stefan Schaal; Gordon Cheng (Robotics Auton. Syst., 2004)

Learning from demonstration and adaptation of biped locomotion. - Jun Nakanishi; Jun Morimoto; Gen Endo; Gordon Cheng; Stefan Schaal; Mitsuo Kawato (Robotics Auton. Syst., 2004)

Natural Actor-Critic. - Jan Peters 001; Sethu Vijayakumar; Stefan Schaal (ECML, 2005)

An exoskeleton robot for human arm movement study. - Michael N. Mistry; Peyman Mohajerian; Stefan Schaal (IROS, 2005)

Comparative experiments on task space control with redundancy resolution. - Jun Nakanishi; Rick Cory; Michael N. Mistry; Jan Peters 001; Stefan Schaal (IROS, 2005)

A unifying methodology for the control of robotic systems. - Jan Peters 001; Michael N. Mistry; Firdaus E. Udwadia; Rick Cory; Jun Nakanishi; Stefan Schaal (IROS, 2005)

Rapid synchronization and accurate phase-locking of rhythmic motor primitives. - Dimitris Pongas; Aude Billard; Stefan Schaal (IROS, 2005)

Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares. - Jo-Anne Ting; Aaron D'Souza; Kenji Yamamoto; Toshinori Yoshioka; Donna L. Hoffman; Lauren Sergio; Shinji Kakei; John Kalaska; Mitsuo Kawato; Peter Strick; Stefan Schaal (NIPS, 2005)

Editorial. - Gordon Cheng; Stefan Schaal; Christopher G. Atkeson (Int. J. Humanoid Robotics, 2005)

Incremental Online Learning in High Dimensions. - Sethu Vijayakumar; Aaron D'Souza; Stefan Schaal (Neural Comput., 2005)

Composite adaptive control with locally weighted statistical learning. - Jun Nakanishi; Jay A. Farrell; Stefan Schaal (Neural Networks, 2005)

A model of smooth pursuit in primates based on learning the target dynamics. - Tomohiro Shibata; Hiromitsu Tabata; Stefan Schaal; Mitsuo Kawato (Neural Networks, 2005)

Bayesian regression with input noise for high dimensional data. - Jo-Anne Ting; Aaron D'Souza; Stefan Schaal (ICML, 2006)

Reinforcement Learning for Parameterized Motor Primitives. - Jan Peters 001; Stefan Schaal (IJCNN, 2006)

Policy Gradient Methods for Robotics. - Jan Peters 001; Stefan Schaal (IROS, 2006)

Learning Operational Space Control. - Jan Peters 001; Stefan Schaal (Robotics: Science and Systems, 2006)

A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics. - Jo-Anne Ting; Michael N. Mistry; Jan Peters 001; Stefan Schaal; Jun Nakanishi (Robotics: Science and Systems, 2006)

Special Issue on The Brain Mechanisms of Imitation Learning. - Aude Billard; Stefan Schaal (Neural Networks, 2006)

Towards Machine Learning of Motor Skills. - Jan Peters 001; Stefan Schaal; Bernhard Schölkopf (AMS, 2007)

Learning an Outlier-Robust Kalman Filter. - Jo-Anne Ting; Evangelos A. Theodorou; Stefan Schaal (ECML, 2007)

Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning. - Jan Peters 001; Stefan Schaal (ESANN, 2007)

Reinforcement learning by reward-weighted regression for operational space control. - Jan Peters 001; Stefan Schaal (ICML, 2007)

Policy Learning for Motor Skills. - Jan Peters 001; Stefan Schaal (ICONIP (2), 2007)

Inverse Dynamics Control with Floating Base and Constraints. - Jun Nakanishi; Michael N. Mistry; Stefan Schaal (ICRA, 2007)

Reinforcement Learning for Operational Space Control. - Jan Peters 001; Stefan Schaal (ICRA, 2007)

A Robust Quadruped Walking Gait for Traversing Rough Terrain. - Dimitris Pongas; Michael N. Mistry; Stefan Schaal (ICRA, 2007)

Automatic Outlier Detection: A Bayesian Approach. - Jo-Anne Ting; Aaron D'Souza; Stefan Schaal (ICRA, 2007)

Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model. - Narayanan Unny Edakunni; Stefan Schaal; Sethu Vijayakumar (IJCAI, 2007)

Task space control with prioritization for balance and locomotion. - Michael N. Mistry; Jun Nakanishi; Stefan Schaal (IROS, 2007)

Towards compliant humanoids-an experimental assessment of suitable task space position/orientation controllers. - Jun Nakanishi; Michael N. Mistry; Jan Peters 001; Stefan Schaal (IROS, 2007)

A Kalman filter for robust outlier detection. - Jo-Anne Ting; Evangelos A. Theodorou; Stefan Schaal (IROS, 2007)

Inverse kinematics with floating base and constraints for full body humanoid robot control. - Michael N. Mistry; Jun Nakanishi; Gordon Cheng; Stefan Schaal (Humanoids, 2008)

Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields. - Dae-Hyung Park; Heiko Hoffmann; Peter Pastor; Stefan Schaal (Humanoids, 2008)

CB: Exploring neuroscience with a humanoid research platform. - Gordon Cheng; Sang-Ho Hyon; Ales Ude; Jun Morimoto; Joshua G. Hale; Joseph Hart; Jun Nakanishi; Darrin C. Bentivegna; Jessica K. Hodgins; Christopher G. Atkeson; Michael N. Mistry; Stefan Schaal; et al. (ICRA, 2008)

A Bayesian approach to empirical local linearization for robotics. - Jo-Anne Ting; Aaron D'Souza; Sethu Vijayakumar; Stefan Schaal (ICRA, 2008)

Bayesian Kernel Shaping for Learning Control. - Jo-Anne Ting; Mrinal Kalakrishnan; Sethu Vijayakumar; Stefan Schaal (NIPS, 2008)

A unifying framework for robot control with redundant DOFs. - Jan Peters 001; Michael N. Mistry; Firdaus E. Udwadia; Jun Nakanishi; Stefan Schaal (Auton. Robots, 2008)

Natural Actor-Critic. - Jan Peters 001; Stefan Schaal (Neurocomputing, 2008)

Editorial: Special Issue on Machine Learning in Robotics. - J. Andrew Bagnell; Stefan Schaal (Int. J. Robotics Res., 2008)

Operational Space Control: A Theoretical and Empirical Comparison. - Jun Nakanishi; Rick Cory; Michael N. Mistry; Jan Peters 001; Stefan Schaal (Int. J. Robotics Res., 2008)

Learning to Control in Operational Space. - Jan Peters 001; Stefan Schaal (Int. J. Robotics Res., 2008)

A Library for Locally Weighted Projection Regression. - Stefan Klanke; Sethu Vijayakumar; Stefan Schaal (J. Mach. Learn. Res., 2008)

Reinforcement learning of motor skills with policy gradients. - Jan Peters 001; Stefan Schaal (Neural Networks, 2008)

Special issue on robotics and neuroscience. - Stefan Schaal; Yoshihiko Nakamura; Paolo Dario (Neural Networks, 2008)

Variational Bayesian least squares: An application to brain-machine interface data. - Jo-Anne Ting; Aaron D'Souza; Kenji Yamamoto; Toshinori Yoshioka; Donna L. Hoffman; Shinji Kakei; Lauren Sergio; John Kalaska; Mitsuo Kawato; Peter Strick; Stefan Schaal (Neural Networks, 2008)

Robot Programming by Demonstration. - Aude Billard; Sylvain Calinon; Rüdiger Dillmann; Stefan Schaal (Springer Handbook of Robotics, 2008)

Path integral-based stochastic optimal control for rigid body dynamics. - Evangelos A. Theodorou; Jonas Buchli; Stefan Schaal (ADPRL, 2009)

Inertial parameter estimation of floating base humanoid systems using partial force sensing. - Michael N. Mistry; Stefan Schaal; Katsu Yamane (Humanoids, 2009)

Compact models of motor primitive variations for predictable reaching and obstacle avoidance. - Freek Stulp; Erhan Öztop; Peter Pastor; Michael Beetz; Stefan Schaal (Humanoids, 2009)

Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance. - Heiko Hoffmann; Peter Pastor; Dae-Hyung Park; Stefan Schaal (ICRA, 2009)

Learning and generalization of motor skills by learning from demonstration. - Peter Pastor; Heiko Hoffmann; Tamim Asfour; Stefan Schaal (ICRA, 2009)

Compliant quadruped locomotion over rough terrain. - Jonas Buchli; Mrinal Kalakrishnan; Michael N. Mistry; Peter Pastor; Stefan Schaal (IROS, 2009)

Learning locomotion over rough terrain using terrain templates. - Mrinal Kalakrishnan; Jonas Buchli; Peter Pastor; Stefan Schaal (IROS, 2009)

On-line learning and modulation of periodic movements with nonlinear dynamical systems. - Andrej Gams; Auke Jan Ijspeert; Stefan Schaal; Jadran Lenarcic (Auton. Robots, 2009)

Local Dimensionality Reduction for Non-Parametric Regression. - Heiko Hoffmann; Stefan Schaal; Sethu Vijayakumar (Neural Process. Lett., 2009)

Constrained accelerations for controlled geometric reduction: Sagittal-plane decoupling for bipedal locomotion. - Robert D. Gregg; Ludovic Righetti; Jonas Buchli; Stefan Schaal (Humanoids, 2010)

Reinforcement learning of full-body humanoid motor skills. - Freek Stulp; Jonas Buchli; Evangelos A. Theodorou; Stefan Schaal (Humanoids, 2010)

Fast, robust quadruped locomotion over challenging terrain. - Mrinal Kalakrishnan; Jonas Buchli; Peter Pastor; Michael N. Mistry; Stefan Schaal (ICRA, 2010)

Inverse dynamics control of floating base systems using orthogonal decomposition. - Michael N. Mistry; Jonas Buchli; Stefan Schaal (ICRA, 2010)

Reinforcement learning of motor skills in high dimensions: A path integral approach. - Evangelos A. Theodorou; Jonas Buchli; Stefan Schaal (ICRA, 2010)

Variable Impedance Control - A Reinforcement Learning Approach. - Jonas Buchli; Evangelos A. Theodorou; Freek Stulp; Stefan Schaal (Robotics: Science and Systems, 2010)

Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (Policy Learning Algorithms for Motor Skills). - Jan Peters 001; Jens Kober; Stefan Schaal (Autom., 2010)

A Generalized Path Integral Control Approach to Reinforcement Learning. - Evangelos A. Theodorou; Jonas Buchli; Stefan Schaal (J. Mach. Learn. Res., 2010)

Learning Policy Improvements with Path Integrals. - Evangelos A. Theodorou; Jonas Buchli; Stefan Schaal (AISTATS, 2010)

Efficient Learning and Feature Selection in High-Dimensional Regression. - Jo-Anne Ting; Aaron D'Souza; Sethu Vijayakumar; Stefan Schaal (Neural Comput., 2010)

Learning Control in Robotics. - Stefan Schaal; Christopher G. Atkeson (IEEE Robotics Autom. Mag., 2010)

Locally Weighted Regression for Control. - Jo-Anne Ting; Sethu Vijayakumar; Stefan Schaal (Encyclopedia of Machine Learning, 2010)

Path integral control and bounded rationality. - Daniel A. Braun 001; Pedro A. Ortega; Evangelos A. Theodorou; Stefan Schaal (ADPRL, 2011)

Control of legged robots with optimal distribution of contact forces. - Ludovic Righetti; Jonas Buchli; Michael N. Mistry; Stefan Schaal (Humanoids, 2011)

Hierarchical reinforcement learning with movement primitives. - Freek Stulp; Stefan Schaal (Humanoids, 2011)

Reinforcement learning of impedance control in stochastic force fields. - Freek Stulp; Jonas Buchli; Alice Ellmer; Michael N. Mistry; Evangelos A. Theodorou; Stefan Schaal (ICDL-EPIROB, 2011)

STOMP: Stochastic trajectory optimization for motion planning. - Mrinal Kalakrishnan; Sachin Chitta; Evangelos A. Theodorou; Peter Pastor; Stefan Schaal (ICRA, 2011)

Skill learning and task outcome prediction for manipulation. - Peter Pastor; Mrinal Kalakrishnan; Sachin Chitta; Evangelos A. Theodorou; Stefan Schaal (ICRA, 2011)

Inverse dynamics control of floating-base robots with external constraints: A unified view. - Ludovic Righetti; Jonas Buchli; Michael N. Mistry; Stefan Schaal (ICRA, 2011)

Learning to grasp under uncertainty. - Freek Stulp; Evangelos A. Theodorou; Jonas Buchli; Stefan Schaal (ICRA, 2011)

Learning force control policies for compliant manipulation. - Mrinal Kalakrishnan; Ludovic Righetti; Peter Pastor; Stefan Schaal (IROS, 2011)

Movement segmentation using a primitive library. - Franziska Meier; Evangelos A. Theodorou; Freek Stulp; Stefan Schaal (IROS, 2011)

Online movement adaptation based on previous sensor experiences. - Peter Pastor; Ludovic Righetti; Mrinal Kalakrishnan; Stefan Schaal (IROS, 2011)

Learning motion primitive goals for robust manipulation. - Freek Stulp; Evangelos A. Theodorou; Mrinal Kalakrishnan; Peter Pastor; Ludovic Righetti; Stefan Schaal (IROS, 2011)

Learning variable impedance control. - Jonas Buchli; Freek Stulp; Evangelos A. Theodorou; Stefan Schaal (Int. J. Robotics Res., 2011)

Learning, planning, and control for quadruped locomotion over challenging terrain. - Mrinal Kalakrishnan; Jonas Buchli; Peter Pastor; Michael N. Mistry; Stefan Schaal (Int. J. Robotics Res., 2011)

Bayesian robot system identification with input and output noise. - Jo-Anne Ting; Aaron D'Souza; Stefan Schaal (Neural Networks, 2011)

Encoding of periodic and their transient motions by a single dynamic movement primitive. - Johannes Ernesti; Ludovic Righetti; Martin Do; Tamim Asfour; Stefan Schaal (Humanoids, 2012)

Towards Associative Skill Memories. - Peter Pastor; Mrinal Kalakrishnan; Ludovic Righetti; Stefan Schaal (Humanoids, 2012)

Quadratic programming for inverse dynamics with optimal distribution of contact forces. - Ludovic Righetti; Stefan Schaal (Humanoids, 2012)

Learning Force Control Policies for Compliant Robotic Manipulation. - Mrinal Kalakrishnan; Ludovic Righetti; Peter Pastor; Stefan Schaal (ICML, 2012)

Template-based learning of grasp selection. - Alexander Herzog; Peter Pastor; Mrinal Kalakrishnan; Ludovic Righetti; Tamim Asfour; Stefan Schaal (ICRA, 2012)

Probabilistic depth image registration incorporating nonvisual information. - Manuel Wuthrich; Peter Pastor; Ludovic Righetti; Aude Billard; Stefan Schaal (ICRA, 2012)

Movement Segmentation and Recognition for Imitation Learning. - Franziska Meier; Evangelos A. Theodorou; Stefan Schaal (AISTATS, 2012)

Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments. - Freek Stulp; Jonas Buchli; Alice Ellmer; Michael N. Mistry; Evangelos A. Theodorou; Stefan Schaal (IEEE Trans. Auton. Ment. Dev., 2012)

Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation. - Freek Stulp; Evangelos A. Theodorou; Stefan Schaal (IEEE Trans. Robotics, 2012)

Learning objective functions for manipulation. - Mrinal Kalakrishnan; Peter Pastor; Ludovic Righetti; Stefan Schaal (ICRA, 2013)

Learning task error models for manipulation. - Peter Pastor; Mrinal Kalakrishnan; Jonathan Binney; Jonathan Kelly; Ludovic Righetti; Gaurav S. Sukhatme; Stefan Schaal (ICRA, 2013)

Probabilistic object tracking using a range camera. - Manuel Wuthrich; Peter Pastor; Mrinal Kalakrishnan; Jeannette Bohg; Stefan Schaal (IROS, 2013)

Momentum-based Balance Control for Torque-controlled Humanoids - Alexander Herzog; Ludovic Righetti; Felix Grimminger; Peter Pastor; Stefan Schaal (CoRR, 2013)

Optimal distribution of contact forces with inverse-dynamics control. - Ludovic Righetti; Jonas Buchli; Michael N. Mistry; Mrinal Kalakrishnan; Stefan Schaal (Int. J. Robotics Res., 2013)

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors. - Auke Jan Ijspeert; Jun Nakanishi; Heiko Hoffmann; Peter Pastor; Stefan Schaal (Neural Comput., 2013)

From dynamic movement primitives to associative skill memories. - Peter Pastor; Mrinal Kalakrishnan; Franziska Meier; Freek Stulp; Jonas Buchli; Evangelos A. Theodorou; Stefan Schaal (Robotics Auton. Syst., 2013)

Full dynamics LQR control of a humanoid robot: An experimental study on balancing and squatting. - Sean Mason; Ludovic Righetti; Stefan Schaal (Humanoids, 2014)

Learning coupling terms for obstacle avoidance. - Akshara Rai; Franziska Meier; Auke Jan Ijspeert; Stefan Schaal (Humanoids, 2014)

Robot arm pose estimation through pixel-wise part classification. - Jeannette Bohg; Javier Romero 002; Alexander Herzog; Stefan Schaal (ICRA, 2014)

Balancing experiments on a torque-controlled humanoid with hierarchical inverse dynamics. - Alexander Herzog; Ludovic Righetti; Felix Grimminger; Peter Pastor; Stefan Schaal (IROS, 2014)

Efficient Bayesian local model learning for control. - Franziska Meier; Philipp Hennig; Stefan Schaal (IROS, 2014)

State estimation for a humanoid robot. - Nicholas Rotella; Michael Blösch; Ludovic Righetti; Stefan Schaal (IROS, 2014)

Dual execution of optimized contact interaction trajectories. - Marc Toussaint; Nathan D. Ratliff; Jeannette Bohg; Ludovic Righetti; Peter Englert; Stefan Schaal (IROS, 2014)

Incremental Local Gaussian Regression. - Franziska Meier; Philipp Hennig; Stefan Schaal (NIPS, 2014)

Learning of grasp selection based on shape-templates. - Alexander Herzog; Peter Pastor; Mrinal Kalakrishnan; Ludovic Righetti; Jeannette Bohg; Tamim Asfour; Stefan Schaal (Auton. Robots, 2014)

An autonomous manipulation system based on force control and optimization. - Ludovic Righetti; Mrinal Kalakrishnan; Peter Pastor; Jonathan Binney; Jonathan Kelly; Randolph Voorhies; Gaurav S. Sukhatme; Stefan Schaal (Auton. Robots, 2014)

Local Gaussian Regression. - Franziska Meier; Philipp Hennig; Stefan Schaal (CoRR, 2014)

Trajectory generation for multi-contact momentum control. - Alexander Herzog; Nicholas Rotella; Stefan Schaal; Ludovic Righetti (Humanoids, 2015)

Humanoid momentum estimation using sensed contact wrenches. - Nicholas Rotella; Alexander Herzog; Stefan Schaal; Ludovic Righetti (Humanoids, 2015)

Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor. - Zhe Su; Karol Hausman; Yevgen Chebotar; Artem Molchanov; Gerald E. Loeb; Gaurav S. Sukhatme; Stefan Schaal (Humanoids, 2015)

Leveraging big data for grasp planning. - Daniel Kappler; Jeannette Bohg; Stefan Schaal (ICRA, 2015)

Understanding the geometry of workspace obstacles in Motion Optimization. - Nathan D. Ratliff; Marc Toussaint; Stefan Schaal (ICRA, 2015)

The Coordinate Particle Filter - a novel Particle Filter for high dimensional systems. - Manuel Wüthrich; Jeannette Bohg; Daniel Kappler; Claudia Pfreundt; Stefan Schaal (ICRA, 2015)

Direct Loss Minimization Inverse Optimal Control. - Andreas Doerr; Nathan D. Ratliff; Jeannette Bohg; Marc Toussaint; Stefan Schaal (Robotics: Science and Systems, 2015)

Data-Driven Online Decision Making for Autonomous Manipulation. - Daniel Kappler; Peter Pastor; Mrinal Kalakrishnan; Manuel Wüthrich; Stefan Schaal (Robotics: Science and Systems, 2015)

A New Perspective and Extension of the Gaussian Filter. - Manuel Wüthrich; Sebastian Trimpe; Daniel Kappler; Stefan Schaal (Robotics: Science and Systems, 2015)

Policy Learning with Hypothesis based Local Action Selection. - Bharath Sankaran; Jeannette Bohg; Nathan D. Ratliff; Stefan Schaal (CoRR, 2015)

Robust Gaussian Filtering. - Manuel Wüthrich; Cristina Garcia Cifuentes; Sebastian Trimpe; Stefan Schaal (CoRR, 2015)

Robust Gaussian filtering using a pseudo measurement. - Manuel Wuthrich; Cristina Garcia Cifuentes; Sebastian Trimpe; Franziska Meier; Jeannette Bohg; Jan Issac; Stefan Schaal (ACC, 2016)

Surface tilt perception with a biomimetic tactile sensor. - Zhe Su; Stefan Schaal; Gerald E. Loeb (BioRob, 2016)

Balancing and walking using full dynamics LQR control with contact constraints. - Sean Mason; Nicholas Rotella; Stefan Schaal; Ludovic Righetti (Humanoids, 2016)

A convex model of humanoid momentum dynamics for multi-contact motion generation. - Brahayam Ponton; Alexander Herzog; Stefan Schaal; Ludovic Righetti (Humanoids, 2016)

Exemplar-based prediction of global object shape from local shape similarity. - Jeannette Bohg; Daniel Kappler; Stefan Schaal (ICRA, 2016)

Depth-based object tracking using a Robust Gaussian Filter. - Jan Issac; Manuel Wüthrich; Cristina Garcia Cifuentes; Jeannette Bohg; Sebastian Trimpe; Stefan Schaal (ICRA, 2016)

Optimizing for what matters: The top grasp hypothesis. - Daniel Kappler; Stefan Schaal; Jeannette Bohg (ICRA, 2016)

Automatic LQR tuning based on Gaussian process global optimization. - Alonso Marco; Philipp Hennig; Jeannette Bohg; Stefan Schaal; Sebastian Trimpe (ICRA, 2016)

Drifting Gaussian processes with varying neighborhood sizes for online model learning. - Franziska Meier; Stefan Schaal (ICRA, 2016)

Inertial sensor-based humanoid joint state estimation. - Nicholas Rotella; Sean Mason; Stefan Schaal; Ludovic Righetti (ICRA, 2016)

Robot arm pose estimation by pixel-wise regression of joint angles. - Felix Widmaier; Daniel Kappler; Stefan Schaal; Jeannette Bohg (ICRA, 2016)

Self-supervised regrasping using spatio-temporal tactile features and reinforcement learning. - Yevgen Chebotar; Karol Hausman; Zhe Su; Gaurav S. Sukhatme; Stefan Schaal (IROS, 2016)

Structured contact force optimization for kino-dynamic motion generation. - Alexander Herzog; Stefan Schaal; Ludovic Righetti (IROS, 2016)

Learning where to search using visual attention. - Alina Kloss; Daniel Kappler; Hendrik P. A. Lensch; Martin V. Butz; Stefan Schaal; Jeannette Bohg (IROS, 2016)

Warping the workspace geometry with electric potentials for motion optimization of manipulation tasks. - Jim Mainprice; Nathan D. Ratliff; Stefan Schaal (IROS, 2016)

Towards robust online inverse dynamics learning. - Franziska Meier; Daniel Kappler; Nathan D. Ratliff; Stefan Schaal (IROS, 2016)

Generalizing Regrasping with Supervised Policy Learning. - Yevgen Chebotar; Karol Hausman; Oliver Kroemer; Gaurav S. Sukhatme; Stefan Schaal (ISER, 2016)

Learning to Switch Between Sensorimotor Primitives Using Multimodal Haptic Signals. - Zhe Su; Oliver Kroemer; Gerald E. Loeb; Gaurav S. Sukhatme; Stefan Schaal (SAB, 2016)

On the Effects of Measurement Uncertainty in Optimal Control of Contact Interactions. - Brahayam Pontón; Stefan Schaal; Ludovic Righetti (WAFR, 2016)

Momentum control with hierarchical inverse dynamics on a torque-controlled humanoid. - Alexander Herzog; Nicholas Rotella; Sean Mason; Felix Grimminger; Stefan Schaal; Ludovic Righetti (Auton. Robots, 2016)

DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. - Nathan D. Ratliff; Franziska Meier; Daniel Kappler; Stefan Schaal (Big Data, 2016)

Stepping Stabilization Using a Combination of DCM Tracking and Step Adjustment. - Majid Khadiv; Sébastien Kleff; Alexander Herzog; S. Ali A. Moosavian; Stefan Schaal; Ludovic Righetti (CoRR, 2016)

A Probabilistic Representation for Dynamic Movement Primitives. - Franziska Meier; Stefan Schaal (CoRR, 2016)

A Convex Model of Momentum Dynamics for Multi-Contact Motion Generation. - Brahayam Ponton; Alexander Herzog; Stefan Schaal; Ludovic Righetti (CoRR, 2016)

Risk sensitive nonlinear optimal control with measurement uncertainty. - Brahayam Ponton; Stefan Schaal; Ludovic Righetti (CoRR, 2016)

On the Fundamental Importance of Gauss-Newton in Motion Optimization. - Nathan D. Ratliff; Marc Toussaint; Jeannette Bohg; Stefan Schaal (CoRR, 2016)

A new perspective and extension of the Gaussian Filter. - Manuel Wüthrich; Sebastian Trimpe; Cristina Garcia Cifuentes; Daniel Kappler; Stefan Schaal (Int. J. Robotics Res., 2016)

Bioinspired Motor Control for Articulated Robots [From the Guest Editors]. - Nicola Vitiello; Auke Jan Ijspeert; Stefan Schaal (IEEE Robotics Autom. Mag., 2016)

Robot Learning. - Jan Peters 001; Daniel D. Lee; Jens Kober; Duy Nguyen-Tuong; J. Andrew Bagnell; Stefan Schaal (Springer Handbook of Robotics, 2nd Ed., 2016)

Regrasping Using Tactile Perception and Supervised Policy Learning. - Yevgen Chebotar; Karol Hausman; Oliver Kroemer; Gaurav S. Sukhatme; Stefan Schaal (AAAI Spring Symposia, 2017)

On the design of LQR kernels for efficient controller learning. - Alonso Marco; Philipp Hennig; Stefan Schaal; Sebastian Trimpe (CDC, 2017)

Optimizing Long-term Predictions for Model-based Policy Search. - Andreas Doerr; Christian Daniel; Duy Nguyen-Tuong; Alonso Marco; Stefan Schaal; Marc Toussaint; Sebastian Trimpe (CoRL, 2017)

Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning. - Yevgen Chebotar; Karol Hausman; Marvin Zhang; Gaurav S. Sukhatme; Stefan Schaal; Sergey Levine (ICML, 2017)

Path integral guided policy search. - Yevgen Chebotar; Mrinal Kalakrishnan; Ali Yahya; Adrian Li; Stefan Schaal; Sergey Levine (ICRA, 2017)

Model-based policy search for automatic tuning of multivariate PID controllers. - Andreas Doerr; Duy Nguyen-Tuong; Alonso Marco; Stefan Schaal; Sebastian Trimpe (ICRA, 2017)

Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization. - Alonso Marco; Felix Berkenkamp; Philipp Hennig; Angela P. Schoellig; Andreas Krause 001; Stefan Schaal; Sebastian Trimpe (ICRA, 2017)

Learning feedback terms for reactive planning and control. - Akshara Rai; Giovanni Sutanto; Stefan Schaal; Franziska Meier (ICRA, 2017)

A new data source for inverse dynamics learning. - Daniel Kappler; Franziska Meier; Nathan D. Ratliff; Stefan Schaal (IROS, 2017)

On the relevance of grasp metrics for predicting grasp success. - Carlos Rubert; Daniel Kappler; Antonio Morales; Stefan Schaal; Jeannette Bohg (IROS, 2017)

Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets. - Karol Hausman; Yevgen Chebotar; Stefan Schaal; Gaurav S. Sukhatme; Joseph J. Lim (NIPS, 2017)

On Time Optimisation of Centroidal Momentum Dynamics. - Brahayam Ponton; Alexander Herzog; Stefan Schaal; Ludovic Righetti (CoRR, 2017)

Combining learned and analytical models for predicting action effects. - Alina Kloss; Stefan Schaal; Jeannette Bohg (CoRR, 2017)

A MPC Walking Framework With External Contact Forces. - Sean Mason; Nicholas Rotella; Stefan Schaal; Ludovic Righetti (CoRR, 2017)

Probabilistic Articulated Real-Time Tracking for Robot Manipulation. - Cristina Garcia Cifuentes; Jan Issac; Manuel Wüthrich; Stefan Schaal; Jeannette Bohg (IEEE Robotics Autom. Lett., 2017)

Interactive Perception: Leveraging Action in Perception and Perception in Action. - Jeannette Bohg; Karol Hausman; Bharath Sankaran; Oliver Brock; Danica Kragic; Stefan Schaal; Gaurav S. Sukhatme (IEEE Trans. Robotics, 2017)

Locally Weighted Regression for Control. - Jo-Anne Ting; Franziska Meier; Sethu Vijayakumar; Stefan Schaal (Encyclopedia of Machine Learning and Data Mining, 2017)

Learning Task-Specific Dynamics to Improve Whole-Body Control. - Andrej Gams; Sean A. Mason; Ales Ude; Stefan Schaal; Ludovic Righetti (Humanoids, 2018)

Probabilistic Recurrent State-Space Models. - Andreas Doerr; Christian Daniel; Martin Schiegg; Duy Nguyen-Tuong; Stefan Schaal; Marc Toussaint; Sebastian Trimpe (ICML, 2018)

An MPC Walking Framework with External Contact Forces. - Sean Mason; Nicholas Rotella; Stefan Schaal; Ludovic Righetti (ICRA, 2018)

Online Learning of a Memory for Learning Rates. - Franziska Meier; Daniel Kappler; Stefan Schaal (ICRA, 2018)

On Time Optimization of Centroidal Momentum Dynamics. - Brahayam Ponton; Alexander Herzog; Andrea Del Prete; Stefan Schaal; Ludovic Righetti (ICRA, 2018)

Unsupervised Contact Learning for Humanoid Estimation and Control. - Nicholas Rotella; Stefan Schaal; Ludovic Righetti (ICRA, 2018)

Time-Contrastive Networks: Self-Supervised Learning from Video. - Pierre Sermanet; Corey Lynch; Yevgen Chebotar; Jasmine Hsu; Eric Jang; Stefan Schaal; Sergey Levine (ICRA, 2018)

Learning Manipulation Graphs from Demonstrations Using Multimodal Sensory Signals. - Zhe Su; Oliver Kroemer; Gerald E. Loeb; Gaurav S. Sukhatme; Stefan Schaal (ICRA, 2018)

Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. - Giovanni Sutanto; Zhe Su; Stefan Schaal; Franziska Meier (ICRA, 2018)

Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills. - Ryan Julian; Eric Heiden; Zhanpeng He; Hejia Zhang; Stefan Schaal; Joseph J. Lim; Gaurav S. Sukhatme; Karol Hausman (ISER, 2018)

Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. - Zhanpeng He; Ryan Julian; Eric Heiden; Hejia Zhang; Stefan Schaal; Joseph J. Lim; Gaurav S. Sukhatme; Karol Hausman (CoRR, 2018)

Real-Time Perception Meets Reactive Motion Generation. - Daniel Kappler; Franziska Meier; Jan Issac; Jim Mainprice; Cristina Garcia Cifuentes; Manuel Wuthrich; Vincent Berenz; Stefan Schaal; Nathan D. Ratliff; Jeannette Bohg (IEEE Robotics Autom. Lett., 2018)

The Playful Software Platform: Reactive Programming for Orchestrating Robotic Behavior. - Vincent Berenz; Stefan Schaal (IEEE Robotics Autom. Mag., 2018)

Learning and Adaptation of Inverse Dynamics Models: A Comparison. - Kevin Hitzler; Franziska Meier; Stefan Schaal; Tamim Asfour (Humanoids, 2019)

A Robustness Analysis of Inverse Optimal Control of Bipedal Walking. - John R. Rebula; Stefan Schaal; James M. Finley; Ludovic Righetti (IEEE Robotics Autom. Lett., 2019)

An Interior Point Method Solving Motion Planning Problems with Narrow Passages. - Jim Mainprice; Nathan D. Ratliff; Marc Toussaint; Stefan Schaal (RO-MAN, 2020)

A New Age of Computing and the Brain. - Polina Golland; Jack L. Gallant; Greg Hager; Hanspeter Pfister; Christos H. Papadimitriou; Stefan Schaal; Joshua T. Vogelstein (CoRR, 2020)

Residual Learning from Demonstration. - Todor Davchev; Kevin Sebastian Luck; Michael Burke; Franziska Meier; Stefan Schaal; Subramanian Ramamoorthy (CoRR, 2020)

Scaling simulation-to-real transfer by learning a latent space of robot skills. - Ryan Julian; Eric Heiden; Zhanpeng He; Hejia Zhang; Stefan Schaal; Joseph J. Lim; Gaurav S. Sukhatme; Karol Hausman (Int. J. Robotics Res., 2020)

Learning Dense Rewards for Contact-Rich Manipulation Tasks. - Zheng Wu 002; Wenzhao Lian; Vaibhav V. Unhelkar; Masayoshi Tomizuka; Stefan Schaal (ICRA, 2021)

Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks. - Wenzhao Lian; Tim Kelch; Dirk Holz; Adam Norton; Stefan Schaal (IROS, 2021)

Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study. - Jianlan Luo; Oleg Sushkov; Rugile Pevceviciute; Wenzhao Lian; Chang Su; Mel Vecerík; Ning Ye; Stefan Schaal; Jonathan Scholz (Robotics: Science and Systems, 2021)

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. - Nicholas Roy; Ingmar Posner; Tim D. Barfoot; Philippe Beaudoin; Yoshua Bengio; Jeannette Bohg; Oliver Brock; Isabelle Depatie; Dieter Fox; Daniel E. Koditschek; Tomás Lozano-Pérez; Vikash Mansinghka 001; et al. (CoRR, 2021)

Action planning and control under uncertainty emerge through a desirability-driven competition between parallel encoding motor plans. - Vince Enachescu; Paul R. Schrater; Stefan Schaal; Vassilios N. Christopoulos (PLoS Comput. Biol., 2021)

Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation. - Todor Davchev; Oleg Olegovich Sushkov; Jean-Baptiste Regli; Stefan Schaal; Yusuf Aytar; Markus Wulfmeier; Jon Scholz (ICLR, 2022)

Multi-Task Learning with Sequence-Conditioned Transporter Networks. - Michael H. Lim; Andy Zeng 001; Brian Ichter; Maryam Bandari; Erwin Coumans; Claire J. Tomlin; Stefan Schaal; Aleksandra Faust (ICRA, 2022)

Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks. - Toki Migimatsu; Wenzhao Lian; Jeannette Bohg; Stefan Schaal (ICRA, 2022)

CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation. - Bowen Wen; Wenzhao Lian; Kostas E. Bekris; Stefan Schaal (ICRA, 2022)

Offline Meta-Reinforcement Learning for Industrial Insertion. - Tony Z. Zhao; Jianlan Luo; Oleg Sushkov; Rugile Pevceviciute; Nicolas Heess; Jon Scholz; Stefan Schaal; Sergey Levine (ICRA, 2022)

Efficient Spatial Representation and Routing of Deformable One-Dimensional Objects for Manipulation. - Azarakhsh Keipour; Maryam Bandari; Stefan Schaal (IROS, 2022)

A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies. - Simon Stepputtis; Maryam Bandari; Stefan Schaal; Heni Ben Amor (IROS, 2022)

You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration. - Bowen Wen; Wenzhao Lian; Kostas E. Bekris; Stefan Schaal (Robotics: Science and Systems, 2022)

Detection and Physical Interaction with Deformable Linear Objects. - Azarakhsh Keipour; Mohammadreza Mousaei; Maryam Bandari; Stefan Schaal; Sebastian A. Scherer (CoRR, 2022)

Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks. - Zheng Wu 002; Wenzhao Lian; Changhao Wang; Mengxi Li; Stefan Schaal; Masayoshi Tomizuka (CoRR, 2022)

Combining learned and analytical models for predicting action effects from sensory data. - Alina Kloss; Stefan Schaal; Jeannette Bohg (Int. J. Robotics Res., 2022)

Supervised learning and reinforcement learning of feedback models for reactive behaviors: Tactile feedback testbed. - Giovanni Sutanto; Katharina Rombach; Yevgen Chebotar; Zhe Su; Stefan Schaal; Gaurav S. Sukhatme; Franziska Meier (Int. J. Robotics Res., 2022)

Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. - Todor Davchev; Kevin Sebastian Luck; Michael Burke; Franziska Meier; Stefan Schaal; Subramanian Ramamoorthy (IEEE Robotics Autom. Lett., 2022)

Robotic Cable Routing with Spatial Representation. - Shiyu Jin; Wenzhao Lian; Changhao Wang; Masayoshi Tomizuka; Stefan Schaal (IEEE Robotics Autom. Lett., 2022)

Deformable One-Dimensional Object Detection for Routing and Manipulation. - Azarakhsh Keipour; Maryam Bandari; Stefan Schaal (IEEE Robotics Autom. Lett., 2022)

Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning. - Zheng Wu 002; Yichen Xie 002; Wenzhao Lian; Changhao Wang; Yanjiang Guo; Jianyu Chen; Stefan Schaal; Masayoshi Tomizuka (ICRA, 2023)

Multi-Stage Cable Routing through Hierarchical Imitation Learning. - Jianlan Luo; Charles Xu 003; Xinyang Geng; Gilbert Feng; Kuan Fang; Liam Tan; Stefan Schaal; Sergey Levine (CoRR, 2023)

Efficient Online Learning of Contact Force Models for Connector Insertion. - Kevin Tracy; Zachary Manchester; Ajinkya Jain; Keegan Go; Stefan Schaal; Tom Erez; Yuval Tassa (CoRR, 2023)

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches. - Priya Sundaresan; Quan Vuong; Jiayuan Gu; Peng Xu 010; Ted Xiao; Sean Kirmani; Tianhe Yu; Michael Stark 003; Ajinkya Jain; Karol Hausman; Dorsa Sadigh; Jeannette Bohg; et al. (CoRL, 2024)

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. - Jianlan Luo; Zheyuan Hu 003; Charles Xu 003; You Liang Tan; Jacob Berg; Archit Sharma; Stefan Schaal; Chelsea Finn; Abhishek Gupta 004; Sergey Levine (ICRA, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks. - Kaylee Burns; Ajinkya Jain; Keegan Go; Fei Xia 002; Michael Stark 003; Stefan Schaal; Karol Hausman (IROS, 2024)

Multistage Cable Routing Through Hierarchical Imitation Learning. - Jianlan Luo; Charles Xu 003; Xinyang Geng; Gilbert Feng; Kuan Fang; Liam Tan; Stefan Schaal; Sergey Levine (IEEE Trans. Robotics, 2024)

A Comparison of Imitation Learning Algorithms for Bimanual Manipulation. - Michael Drolet; Simon Stepputtis; Siva Kailas; Ajinkya Jain; Jan Peters 001; Stefan Schaal; Heni Ben Amor (IEEE Robotics Autom. Lett., 2024)

RoboBallet: Planning for multirobot reaching with graph neural networks and reinforcement learning. - Matthew Lai; Keegan Go; Zhibin Li 001; Torsten Kröger; Stefan Schaal; Kelsey Allen; Jonathan Scholz (Sci. Robotics, 2025)