Mohi Khansari
Mohi Khansari
Staff Roboticist @ Google X
Verified email at
Cited by
Cited by
Learning stable nonlinear dynamical systems with gaussian mixture models
SM Khansari-Zadeh, A Billard
IEEE Transactions on Robotics 27 (5), 943-957, 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
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
A Dynamical System Approach to Realtime Obstacle Avoidance
SM Khansari-Zadeh, A Billard
Autonomous Robots 32 (4), 433-454, 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
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
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
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
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
Learning potential functions from human demonstrations with encapsulated dynamic and compliant behaviors
SM Khansari-Zadeh, O Khatib
Autonomous Robots 41, 45-69, 2017
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
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
Incremental motion learning with locally modulated dynamical systems
K Kronander, M Khansari, A Billard
Robotics and Autonomous Systems 70, 52-62, 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
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
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
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
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
Learning contracting vector fields for stable imitation learning
V Sindhwani, S Tu, M Khansari
arXiv preprint arXiv:1804.04878, 2018
Learning to play minigolf: A dynamical system-based approach
SM Khansari-Zadeh, K Kronander, A Billard
Advanced Robotics 26 (17), 1967-1993, 2012
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