Dense object nets: Learning dense visual object descriptors by and for robotic manipulation PR Florence, L Manuelli, R Tedrake arXiv preprint arXiv:1806.08756, 2018 | 206 | 2018 |
kpam: Keypoint affordances for category-level robotic manipulation L Manuelli, W Gao, P Florence, R Tedrake Robotics Research: The 19th International Symposium ISRR, 132-157, 2022 | 170 | 2022 |
Cliport: What and where pathways for robotic manipulation M Shridhar, L Manuelli, D Fox Conference on Robot Learning, 894-906, 2022 | 137 | 2022 |
Label fusion: A pipeline for generating ground truth labels for real rgbd data of cluttered scenes P Marion, PR Florence, L Manuelli, R Tedrake 2018 IEEE International Conference on Robotics and Automation (ICRA), 3235-3242, 2018 | 95 | 2018 |
Self-supervised correspondence in visuomotor policy learning P Florence, L Manuelli, R Tedrake IEEE Robotics and Automation Letters 5 (2), 492-499, 2019 | 93 | 2019 |
Localizing external contact using proprioceptive sensors: The contact particle filter L Manuelli, R Tedrake 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 81 | 2016 |
Director: A user interface designed for robot operation with shared autonomy P Marion, M Fallon, R Deits, A Valenzuela, CP D’Arpino, G Izatt, ... The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue, 237-270, 2018 | 67 | 2018 |
Keypoints into the future: Self-supervised correspondence in model-based reinforcement learning L Manuelli, Y Li, P Florence, R Tedrake arXiv preprint arXiv:2009.05085, 2020 | 52 | 2020 |
Perceiver-actor: A multi-task transformer for robotic manipulation M Shridhar, L Manuelli, D Fox Conference on Robot Learning, 785-799, 2023 | 27 | 2023 |
Reinforcement learning for autonomous driving obstacle avoidance using lidar L Manuelli, P Florence Massachusetts Inst. Technol., Tech. Rep, 2015 | 8 | 2015 |
On Li-Yorke measurable sensitivity J Hallett, L Manuelli, C Silva Proceedings of the American Mathematical Society 143 (6), 2411-2426, 2015 | 7 | 2015 |
Localizing external contact using proprioceptive sensors: The contact particle filter L Manuelli Massachusetts Institute of Technology, 2018 | 4 | 2018 |
Constructing partial words with subword complexities not achievable by full words F Blanchet-Sadri, A Chakarov, L Manuelli, J Schwartz, S Stich Theoretical Computer Science 432, 21-27, 2012 | 4 | 2012 |
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare Y Labbé, L Manuelli, A Mousavian, S Tyree, S Birchfield, J Tremblay, ... arXiv preprint arXiv:2212.06870, 2022 | 1 | 2022 |
Approximate explicit model predictive control for push recovery using mixed-integer convex optimization R Deits, T Marcucci, L Manuelli, T Koolen, R Tedrake Dynamic Walking Conference, 2017 | 1 | 2017 |
Recurrent partial words F Blanchet-Sadri, A Chakarov, L Manuelli, J Schwartz, S Stich arXiv preprint arXiv:1108.3623, 2011 | 1 | 2011 |
Robot manipulation with learned representations L Manuelli Massachusetts Institute of Technology, 2020 | | 2020 |
Imperfect public monitoring with a fear of signal distortion V Bhattacharya, L Manuelli, L Straub Journal of Economic Theory 175, 1-37, 2018 | | 2018 |
Recurrent Partial Words and Representable Sets. F Blanchet-Sadri, A Chakarov, B Chen, L Manuelli, S Munteanu, ... J. Autom. Lang. Comb. 21 (3), 149-181, 2016 | | 2016 |
Labor risk sharing L Manuelli Massachusetts Institute of Technology, 2015 | | 2015 |