Model learning for robot control: a survey D Nguyen-Tuong, J Peters Cognitive processing 12, 319-340, 2011 | 627 | 2011 |
Model learning with local gaussian process regression D Nguyen-Tuong, M Seeger, J Peters Advanced Robotics 23 (15), 2015-2034, 2009 | 399 | 2009 |
Local Gaussian process regression for real time online model learning D Nguyen-Tuong, J Peters, M Seeger Advances in neural information processing systems 21, 2008 | 325 | 2008 |
Using model knowledge for learning inverse dynamics D Nguyen-Tuong, J Peters 2010 IEEE international conference on robotics and automation, 2677-2682, 2010 | 221 | 2010 |
Computed torque control with nonparametric regression models D Nguyen-Tuong, M Seeger, J Peters 2008 American Control Conference, 212-217, 2008 | 197 | 2008 |
Local gaussian process regression for real-time model-based robot control D Nguyen-Tuong, J Peters 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 161 | 2008 |
Trajectory planning for optimal robot catching in real-time R Lampariello, D Nguyen-Tuong, C Castellini, G Hirzinger, J Peters 2011 IEEE International Conference on Robotics and Automation, 3719-3726, 2011 | 139 | 2011 |
Probabilistic recurrent state-space models A Doerr, C Daniel, M Schiegg, NT Duy, S Schaal, M Toussaint, ... International conference on machine learning, 1280-1289, 2018 | 137 | 2018 |
Safe exploration for active learning with Gaussian processes J Schreiter, D Nguyen-Tuong, M Eberts, B Bischoff, H Markert, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 121 | 2015 |
Learning inverse dynamics: a comparison D Nguyen-Tuong, J Peters, M Seeger, B Schölkopf European symposium on artificial neural networks, 2008 | 113 | 2008 |
Incremental online sparsification for model learning in real-time robot control D Nguyen-Tuong, J Peters Neurocomputing 74 (11), 1859-1867, 2011 | 78 | 2011 |
Learning robot dynamics for computed torque control using local Gaussian processes regression D Nguyen-Tuong, J Peters 2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems …, 2008 | 73 | 2008 |
Learning inverse kinematics with structured prediction B Bócsi, D Nguyen-Tuong, L Csató, B Schoelkopf, J Peters 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 69 | 2011 |
Safe active learning for time-series modeling with gaussian processes C Zimmer, M Meister, D Nguyen-Tuong Advances in neural information processing systems 31, 2018 | 53 | 2018 |
Towards motor skill learning for robotics J Peters, K Mülling, J Kober, D Nguyen-Tuong, O Krömer Robotics Research: The 14th International Symposium ISRR, 469-482, 2011 | 53 | 2011 |
Stability of controllers for gaussian process forward models J Vinogradska, B Bischoff, D Nguyen-Tuong, A Romer, H Schmidt, ... International Conference on Machine Learning, 545-554, 2016 | 49 | 2016 |
Optimizing long-term predictions for model-based policy search A Doerr, C Daniel, D Nguyen-Tuong, A Marco, S Schaal, T Marc, S Trimpe Conference on Robot Learning, 227-238, 2017 | 46 | 2017 |
Model-based policy search for automatic tuning of multivariate PID controllers A Doerr, D Nguyen-Tuong, A Marco, S Schaal, S Trimpe 2017 IEEE International Conference on Robotics and Automation (ICRA), 5295-5301, 2017 | 45 | 2017 |
Robot learning J Peters, DD Lee, J Kober, D Nguyen-Tuong, JA Bagnell, S Schaal Springer Handbook of Robotics, 357-398, 2016 | 44 | 2016 |
Fusing vision and odometry for accurate indoor robot localization B Bischoff, D Nguyen-Tuong, F Streichert, M Ewert, A Knoll 2012 12th International Conference on Control Automation Robotics & Vision …, 2012 | 43 | 2012 |