Shao, L., Shah, P., Dwaracherla, V., Bohg, J.
Motion-based Object Segmentation based on Dense RGB-D Scene Flow
IEEE Robotics and Automation Letters, 3(4):3797-3804, IEEE, IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2018 (conference)
Anderson, M., Anderson, S., Berenz, V.
A Value-Driven Eldercare Robot: Virtual and Physical Instantiations of a Case-Supported Principle-Based Behavior Paradigm
Proceedings of the IEEE, pages: 1,15, October 2018 (article)
Berenz, V., Schaal, S.
Playful: Reactive Programming for Orchestrating Robotic Behavior
IEEE Robotics Automation Magazine, 25(3):49-60, September 2018 (article) In press
Shao, L., Tian, Y., Bohg, J.
ClusterNet: Instance Segmentation in RGB-D Images
arXiv, September 2018, Submitted to ICRA'19 (article) Submitted
Merzic, H., Bogdanovic, M., Kappler, D., Righetti, L., Bohg, J.
Leveraging Contact Forces for Learning to Grasp
arXiv, September 2018, Submitted to ICRA'19 (article) Submitted
Doerr, A., Daniel, C., Schiegg, M., Nguyen-Tuong, D., Schaal, S., Toussaint, M., Trimpe, S.
Probabilistic Recurrent State-Space Models
In Proceedings of the International Conference on Machine Learning (ICML), International Conference on Machine Learning (ICML), July 2018 (inproceedings)
Kappler, D., Meier, F., Issac, J., Mainprice, J., Garcia Cifuentes, C., Wüthrich, M., Berenz, V., Schaal, S., Ratliff, N., Bohg, J.
Real-time Perception meets Reactive Motion Generation
IEEE Robotics and Automation Letters, 3(3):1864-1871, July 2018 (article)
Meier, F., Kappler, D., Schaal, S.
Online Learning of a Memory for Learning Rates
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2018, IEEE, International Conference on Robotics and Automation, May 2018, accepted (inproceedings)
Sutanto, G., Su, Z., Schaal, S., Meier, F.
Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2018, IEEE, International Conference on Robotics and Automation, May 2018 (inproceedings)
Muehlebach, M., Trimpe, S.
Distributed Event-Based State Estimation for Networked Systems: An LMI Approach
IEEE Transactions on Automatic Control, 63(1):269-276, January 2018 (article)
Ascoli, A., Baumann, D., Tetzlaff, R., Chua, L. O., Hild, M.
Memristor-enhanced humanoid robot control system–Part I: theory behind the novel memcomputing paradigm
International Journal of Circuit Theory and Applications, 46(1):155-183, 2018 (article)
Ponton, B., Herzog, A., Del Prete, A., Schaal, S., Righetti, L.
On Time Optimization of Centroidal Momentum Dynamics
In 2018 IEEE International Conference on Robotics and Automation (ICRA), pages: 5776-5782, IEEE, Brisbane, Australia, 2018 (inproceedings)
Kloss, A., Schaal, S., Bohg, J.
Combining learned and analytical models for predicting action effects
arXiv, 2018 (article) Submitted
Baumann, D., Ascoli, A., Tetzlaff, R., Chua, L. O., Hild, M.
Memristor-enhanced humanoid robot control system–Part II: circuit theoretic model and performance analysis
International Journal of Circuit Theory and Applications, 46(1):184-220, 2018 (article)
Rotella, N., Schaal, S., Righetti, L.
Unsupervised Contact Learning for Humanoid Estimation and Control
In 2018 IEEE International Conference on Robotics and Automation (ICRA), pages: 411-417, IEEE, Brisbane, Australia, 2018 (inproceedings)
Gams, A., Mason, S., Ude, A., Schaal, S., Righetti, L.
Learning Task-Specific Dynamics to Improve Whole-Body Control
In Hua, IEEE, Beijing, China, November 2018 (inproceedings)
Mason, S., Rotella, N., Schaal, S., Righetti, L.
An MPC Walking Framework With External Contact Forces
In 2018 IEEE International Conference on Robotics and Automation (ICRA), pages: 1785-1790, IEEE, Brisbane, Australia, May 2018 (inproceedings)
Hausman, K., Chebotar, Y., Schaal, S., Sukhatme, G., Lim, J.
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
In Proceedings from the conference "Neural Information Processing Systems 2017., (Editors: Guyon I. and Luxburg U.v. and Bengio S. and Wallach H. and Fergus R. and Vishwanathan S. and Garnett R.), Curran Associates, Inc., Advances in Neural Information Processing Systems 30 (NIPS), December 2017 (inproceedings)
Marco, A., Hennig, P., Schaal, S., Trimpe, S.
On the Design of LQR Kernels for Efficient Controller Learning
Proceedings of the 56th IEEE Annual Conference on Decision and Control (CDC), pages: 5193-5200, IEEE, IEEE Conference on Decision and Control, December 2017 (conference)
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)
Doerr, A., Daniel, C., Nguyen-Tuong, D., Marco, A., Schaal, S., Toussaint, M., Trimpe, S.
Optimizing Long-term Predictions for Model-based Policy Search
Proceedings of 1st Annual Conference on Robot Learning (CoRL), 78, pages: 227-238, (Editors: Sergey Levine and Vincent Vanhoucke and Ken Goldberg), 1st Annual Conference on Robot Learning, November 2017 (conference)
Li, W., Bohg, J., Fritz, M.
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning
arXiv, November 2017 (article) Submitted
Heijmink, E., Radulescu, A., Ponton, B., Barasuol, V., Caldwell, D., Semini, C.
Learning optimal gait parameters and impedance profiles for legged locomotion
Proceedings International Conference on Humanoid Robots, IEEE, 2017 IEEE-RAS 17th International Conference on Humanoid Robots, November 2017 (conference)
Kappler, D., Meier, F., Ratliff, N., Schaal, S.
A New Data Source for Inverse Dynamics Learning
In Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Piscataway, NJ, USA, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2017 (inproceedings)
Fiebig, K., Jayaram, V., Hesse, T., Blank, A., Peters, J., Grosse-Wentrup, M.
Bayesian Regression for Artifact Correction in Electroencephalography
Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, pages: 131-136, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (conference)
Grossberger, L., Hohmann, M. R., Peters, J., Grosse-Wentrup, M.
Investigating Music Imagery as a Cognitive Paradigm for Low-Cost Brain-Computer Interfaces
Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, pages: 160-164, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (conference)
Rubert, C., Kappler, D., Morales, A., Schaal, S., Bohg, J.
On the relevance of grasp metrics for predicting grasp success
In Proceedings of the IEEE/RSJ International Conference of Intelligent Robots and Systems, September 2017 (inproceedings) Accepted
Akrour, R., Sorokin, D., Peters, J., Neumann, G.
Local Bayesian Optimization of Motor Skills
Proceedings of the 34th International Conference on Machine Learning, 70, pages: 41-50, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 (conference)
Chebotar, Y., Hausman, K., Zhang, M., Sukhatme, G., Schaal, S., Levine, S.
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Proceedings of the 34th International Conference on Machine Learning, 70, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 (conference)
Trimpe, S.
Event-based State Estimation: An Emulation-based Approach
IET Control Theory & Applications, 11(11):1684-1693, July 2017 (article)
Doerr, A., Nguyen-Tuong, D., Marco, A., Schaal, S., Trimpe, S.
Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages: 5295-5301, IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), May 2017 (inproceedings)
Rai, A., Sutanto, G., Schaal, S., Meier, F.
Learning Feedback Terms for Reactive Planning and Control
Proceedings 2017 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), May 2017 (conference)
Marco, A., Berkenkamp, F., Hennig, P., Schoellig, A. P., Krause, A., Schaal, S., Trimpe, S.
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages: 1557-1563, IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), May 2017 (inproceedings)
Chebotar, Y., Kalakrishnan, M., Yahya, A., Li, A., Schaal, S., Levine, S.
Path Integral Guided Policy Search
Proceedings 2017 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), May 2017 (conference)
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)
Wüthrich, M., Pastor, P., Kalakrishnan, M., Bohg, J., Schaal, S.
Probabilistic Object Tracking Using a Range Camera
In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages: 3195-3202, IEEE, November 2013 (inproceedings)
Illonen, J., Bohg, J., Kyrki, V.
3-D Object Reconstruction of Symmetric Objects by Fusing Visual and Tactile Sensing
The International Journal of Robotics Research, 33(2):321-341, Sage, October 2013 (article)
Sankaran, B., Ghazvininejad, M., He, X., Kale, D., Cohen, L.
Learning and Optimization with Submodular Functions
ArXiv, May 2013 (techreport)
Sankaran, B., Atanasov, N., Le Ny, J., Koletschka, T., Pappas, G., Daniilidis, K.
Hypothesis Testing Framework for Active Object Detection
In IEEE International Conference on Robotics and Automation (ICRA), May 2013, clmc (inproceedings)
Enachescu, V, Christopoulos, Vassilios N, Schrater, P. R., Schaal, S.
Action and Goal Related Decision Variables Modulate the Competition Between Multiple Potential Targets
In Abstracts of Neural Control of Movement Conference (NCM 2013), February 2013 (inproceedings)
Alnajjar, F. S., Berenz, V., Shimoda, S.
The functional role of automatic body response in shaping voluntary actions based on muscle synergy theory
In Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, pages: 1230-1233, 2013 (inproceedings)
Mistry, M., Theodorou, E., Schaal, S., Kawato, M.
Optimal control of reaching includes kinematic constraints
Journal of Neurophysiology, 2013, clmc (article)
Suzuki, K., Gruebler, A., Berenz, V.
Coaching robots with biosignals based on human affective social behaviors
In ACM/IEEE International Conference on Human-Robot Interaction, HRI 2013, Tokyo, Japan, March 3-6, 2013, pages: 419-420, 2013 (inproceedings)
Ilonen, J., Bohg, J., Kyrki, V.
Fusing visual and tactile sensing for 3-D object reconstruction while grasping
In IEEE International Conference on Robotics and Automation (ICRA), pages: 3547-3554, 2013 (inproceedings)
Trimpe, S.
Distributed and Event-based State Estimation and Control
ETH Zurich, 2013 (phdthesis)
Ijspeert, A., Nakanishi, J., Pastor, P., Hoffmann, H., Schaal, S.
Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors
Neural Computation, (25):328-373, 2013, clmc (article)
Kalakrishnan, M., Pastor, P., Righetti, L., Schaal, S.
Learning Objective Functions for Manipulation
In 2013 IEEE International Conference on Robotics and Automation, IEEE, Karlsruhe, Germany, 2013 (inproceedings)
Righetti, L., Buchli, J., Mistry, M., Kalakrishnan, M., Schaal, S.
Using Torque Redundancy to Optimize Contact Forces in Legged Robots
In Redundancy in Robot Manipulators and Multi-Robot Systems, 57, pages: 35-51, Lecture Notes in Electrical Engineering, Springer Berlin Heidelberg, 2013 (incollection)