| Learning stable nonlinear dynamical systems with gaussian mixture models SM Khansari-Zadeh, A Billard IEEE Transactions on Robotics 27 (5), 943-957, 2011 | 910 | 2011 |
| Learning latent plans from play C Lynch, M Khansari, T Xiao, V Kumar, J Tompson, S Levine, P Sermanet Conference on robot learning, 1113-1132, 2020 | 395 | 2020 |
| Bc-z: Zero-shot task generalization with robotic imitation learning E Jang, A Irpan, M Khansari, D Kappler, F Ebert, C Lynch, S Levine, ... Conference on Robot Learning, 991-1002, 2022 | 393 | 2022 |
| A Dynamical System Approach to Realtime Obstacle Avoidance SM Khansari-Zadeh, A Billard Autonomous Robots 32 (4), 433-454, 2012 | 292 | 2012 |
| Learning Control Lyapunov Function to Ensure Stability of Dynamical System-based Robot Reaching Motions SM Khansari-Zadeh, A Billard Robotics and Autonomous Systems 62 (6), 752-765, 2014 | 264 | 2014 |
| Rl-cyclegan: Reinforcement learning aware simulation-to-real K Rao, C Harris, A Irpan, S Levine, J Ibarz, M Khansari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 196 | 2020 |
| Learning non-linear multivariate dynamics of motion in robotic manipulators E Gribovskaya, SM Khansari-Zadeh, A Billard The International Journal of Robotics Research 30 (1), 80-117, 2011 | 157 | 2011 |
| Learning 6-DOF Grasping Interaction via Deep 3D Geometry-aware Representations X Yan, J Hsu, M Khansari, Y Bai, A Pathak, A Gupta, J Davidson, H Lee | 135* | 2017 |
| Learning potential functions from human demonstrations with encapsulated dynamic and compliant behaviors SM Khansari-Zadeh, O Khatib Autonomous Robots 41, 45-69, 2017 | 96 | 2017 |
| Imitation learning of globally stable non-linear point-to-point robot motions using nonlinear programming SM Khansari-Zadeh, A Billard 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 95 | 2010 |
| Retinagan: An object-aware approach to sim-to-real transfer D Ho, K Rao, Z Xu, E Jang, M Khansari, Y Bai 2021 IEEE International Conference on Robotics and Automation (ICRA), 10920 …, 2021 | 89 | 2021 |
| BM: An iterative algorithm to learn stable non-linear dynamical systems with gaussian mixture models SM Khansari-Zadeh, A Billard 2010 IEEE international conference on robotics and automation, 2381-2388, 2010 | 89 | 2010 |
| Incremental motion learning with locally modulated dynamical systems K Kronander, M Khansari, A Billard Robotics and Autonomous Systems 70, 52-62, 2015 | 68 | 2015 |
| Watch, try, learn: Meta-learning from demonstrations and reward A Zhou, E Jang, D Kappler, A Herzog, M Khansari, P Wohlhart, Y Bai, ... arXiv preprint arXiv:1906.03352, 2019 | 62 | 2019 |
| Scalable multi-task imitation learning with autonomous improvement A Singh, E Jang, A Irpan, D Kappler, M Dalal, S Levinev, M Khansari, ... 2020 IEEE International Conference on Robotics and Automation (ICRA), 2167-2173, 2020 | 42 | 2020 |
| Open-source benchmarking for learned reaching motion generation in robotics A Lemme, Y Meirovitch, M Khansari-Zadeh, T Flash, A Billard, JJ Steil Paladyn, Journal of Behavioral Robotics 6 (1), 000010151520150002, 2015 | 42 | 2015 |
| Modeling robot discrete movements with state-varying stiffness and damping: A framework for integrated motion generation and impedance control SM Khansari-Zadeh, K Kronander, A Billard in proceedings of Robotics: Science and Systems X (RSS 2014), 2014 | 41 | 2014 |
| Adaptive human-inspired compliant contact primitives to perform surface–surface contact under uncertainty M Khansari, E Klingbeil, O Khatib The International Journal of Robotics Research, 2016 | 40 | 2016 |
| Aw-opt: Learning robotic skills with imitation andreinforcement at scale Y Lu, K Hausman, Y Chebotar, M Yan, E Jang, A Herzog, T Xiao, A Irpan, ... Conference on Robot Learning, 1078-1088, 2022 | 39 | 2022 |
| Learning contracting vector fields for stable imitation learning V Sindhwani, S Tu, M Khansari arXiv preprint arXiv:1804.04878, 2018 | 39 | 2018 |
Aude BillardFull Professor, EPFLVerified email at epfl.ch
