| Deep learning for detecting robotic grasps I Lenz, H Lee, A Saxena The International Journal of Robotics Research 34 (4-5), 705-724, 2015 | 1967 | 2015 |
| DeepMPC: Learning deep latent features for model predictive control. I Lenz, RA Knepper, A Saxena Robotics: Science and Systems 10, 25, 2015 | 434 | 2015 |
| Hierarchical Semantic Labeling for Task-Relevant RGB-D Perception. C Wu, I Lenz, A Saxena Robotics: Science and systems, 2014 | 90 | 2014 |
| Deep multimodal embedding: Manipulating novel objects with point-clouds, language and trajectories J Sung, I Lenz, A Saxena 2017 IEEE International Conference on Robotics and Automation (ICRA), 2794-2801, 2017 | 37 | 2017 |
| Low-power parallel algorithms for single image based obstacle avoidance in aerial robots I Lenz, M Gemici, A Saxena 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 34 | 2012 |
| Robobarista: Learning to manipulate novel objects via deep multimodal embedding J Sung, SH Jin, I Lenz, A Saxena arXiv preprint arXiv:1601.02705, 2016 | 21 | 2016 |
| Deep learning for robotics I Lenz | 11 | 2016 |
| Wikipedia for Robots A Saxena, A Jain, AR Zamir, S Savarese, A Saxena, O Sener, HO Song, ... MIT Technoogy Review, 2016 | 1 | 2016 |
| DeepMPC: Learning latent nonlinear dynamics for real-time predictive control I Lenz, R Knepper, A Saxena, P Alto Proc. Robot. Sci. Syst., 2015 | 1 | 2015 |
