| A generalized path integral control approach to reinforcement learning E Theodorou, J Buchli, S Schaal The Journal of Machine Learning Research 11, 3137-3181, 2010 | 665 | 2010 |
| Digital concrete: opportunities and challenges T Wangler, E Lloret, L Reiter, N Hack, F Gramazio, M Kohler, M Bernhard, ... RILEM Technical Letters 1, 67-75, 2016 | 471 | 2016 |
| Dynamic hebbian learning in adaptive frequency oscillators L Righetti, J Buchli, AJ Ijspeert Physica D: Nonlinear Phenomena 216 (2), 269-281, 2006 | 402 | 2006 |
| Learning variable impedance control J Buchli, F Stulp, E Theodorou, S Schaal The International Journal of Robotics Research 30 (7), 820-833, 2011 | 340 | 2011 |
| Reinforcement learning of motor skills in high dimensions: A path integral approach E Theodorou, J Buchli, S Schaal 2010 IEEE International Conference on Robotics and Automation, 2397-2403, 2010 | 321 | 2010 |
| Learning, planning, and control for quadruped locomotion over challenging terrain M Kalakrishnan, J Buchli, P Pastor, M Mistry, S Schaal The International Journal of Robotics Research 30 (2), 236-258, 2011 | 316 | 2011 |
| Gait and trajectory optimization for legged systems through phase-based end-effector parameterization AW Winkler, CD Bellicoso, M Hutter, J Buchli IEEE Robotics and Automation Letters 3 (3), 1560-1567, 2018 | 312 | 2018 |
| Inverse dynamics control of floating base systems using orthogonal decomposition M Mistry, J Buchli, S Schaal 2010 IEEE international conference on robotics and automation, 3406-3412, 2010 | 285 | 2010 |
| Fast nonlinear model predictive control for unified trajectory optimization and tracking M Neunert, C De Crousaz, F Furrer, M Kamel, F Farshidian, R Siegwart, ... 2016 IEEE international conference on robotics and automation (ICRA), 1398-1404, 2016 | 215 | 2016 |
| Optimal distribution of contact forces with inverse-dynamics control L Righetti, J Buchli, M Mistry, M Kalakrishnan, S Schaal The International Journal of Robotics Research 32 (3), 280-298, 2013 | 212 | 2013 |
| A reactive controller framework for quadrupedal locomotion on challenging terrain V Barasuol, J Buchli, C Semini, M Frigerio, ER De Pieri, DG Caldwell 2013 IEEE International Conference on Robotics and Automation, 2554-2561, 2013 | 201 | 2013 |
| Dynamic torque control of a hydraulic quadruped robot T Boaventura, C Semini, J Buchli, M Frigerio, M Focchi, DG Caldwell 2012 IEEE international conference on robotics and automation, 1889-1894, 2012 | 184 | 2012 |
| Compliant quadruped locomotion over rough terrain J Buchli, M Kalakrishnan, M Mistry, P Pastor, S Schaal 2009 IEEE/RSJ international conference on Intelligent robots and systems …, 2009 | 183 | 2009 |
| Whole-body nonlinear model predictive control through contacts for quadrupeds M Neunert, M Stäuble, M Giftthaler, CD Bellicoso, J Carius, C Gehring, ... IEEE Robotics and Automation Letters 3 (3), 1458-1465, 2018 | 181 | 2018 |
| Fast, robust quadruped locomotion over challenging terrain M Kalakrishnan, J Buchli, P Pastor, M Mistry, S Schaal 2010 IEEE International Conference on Robotics and Automation, 2665-2670, 2010 | 181 | 2010 |
| Towards versatile legged robots through active impedance control C Semini, V Barasuol, T Boaventura, M Frigerio, M Focchi, DG Caldwell, ... The International Journal of Robotics Research 34 (7), 1003-1020, 2015 | 162 | 2015 |
| Inverse dynamics control of floating-base robots with external constraints: A unified view L Righetti, J Buchli, M Mistry, S Schaal 2011 IEEE international conference on robotics and automation, 1085-1090, 2011 | 151 | 2011 |
| Magnetic control of tokamak plasmas through deep reinforcement learning J Degrave, F Felici, J Buchli, M Neunert, B Tracey, F Carpanese, T Ewalds, ... Nature 602 (7897), 414-419, 2022 | 133 | 2022 |
| Engineering entrainment and adaptation in limit cycle systems J Buchli, L Righetti, AJ Ijspeert Biological Cybernetics 95 (6), 645-664, 2006 | 133 | 2006 |
| Finding resonance: Adaptive frequency oscillators for dynamic legged locomotion J Buchli, F Iida, AJ Ijspeert 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006 | 118 | 2006 |
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceVerified email at google.com
