| Smooth neighbors on teacher graphs for semi-supervised learning Y Luo, J Zhu, M Li, Y Ren, B Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 307 | 2018 |
| Learning latent actions to control assistive robots DP Losey, HJ Jeon, M Li, K Srinivasan, A Mandlekar, A Garg, J Bohg, ... Autonomous robots 46 (1), 115-147, 2022 | 55 | 2022 |
| Learning human objectives from sequences of physical corrections M Li, A Canberk, DP Losey, D Sadigh 2021 IEEE International Conference on Robotics and Automation (ICRA), 2877-2883, 2021 | 40 | 2021 |
| Learning from My Partner's Actions: Roles in Decentralized Robot Teams DP Losey*, M Li*, J Bohg, D Sadigh arXiv preprint arXiv:1910.07613, 2019 | 28 | 2019 |
| Learning user-preferred mappings for intuitive robot control M Li, DP Losey, J Bohg, D Sadigh 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 20 | 2020 |
| Influencing Leading and Following in Human-Robot Teams M Kwon*, M Li*, A Bucquet, D Sadigh Robotics: Science and Systems, 2019 | 20 | 2019 |
| Influencing leading and following in human–robot teams M Li, M Kwon, D Sadigh Autonomous Robots 45, 959-978, 2021 | 14 | 2021 |
| Learning feasibility to imitate demonstrators with different dynamics Z Cao, Y Hao, M Li, D Sadigh arXiv preprint arXiv:2110.15142, 2021 | 13 | 2021 |
| Prim-lafd: A framework to learn and adapt primitive-based skills from demonstrations for insertion tasks Z Wu, W Lian, C Wang, M Li, S Schaal, M Tomizuka IFAC-PapersOnLine 56 (2), 4120-4125, 2023 | 11 | 2023 |
| Learning tool morphology for contact-rich manipulation tasks with differentiable simulation M Li, R Antonova, D Sadigh, J Bohg 2023 IEEE International Conference on Robotics and Automation (ICRA), 1859-1865, 2023 | 9 | 2023 |
Dorsa SadighStanford UniversityVerified email at cs.stanford.edu
