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Michelle A. Lee
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Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks
MA Lee, Y Zhu, K Srinivasan, P Shah, S Savarese, L Fei-Fei, A Garg, ...
2019 International Conference on Robotics and Automation (ICRA), 8943-8950, 2019
3592019
Variable impedance control in end-effector space: An action space for reinforcement learning in contact-rich tasks
R Martín-Martín, MA Lee, R Gardner, S Savarese, J Bohg, A Garg
2019 IEEE/RSJ international conference on intelligent robots and systems …, 2019
1902019
Making sense of vision and touch: Learning multimodal representations for contact-rich tasks
MA Lee, Y Zhu, P Zachares, M Tan, K Srinivasan, S Savarese, L Fei-Fei, ...
IEEE Transactions on Robotics 36 (3), 582-596, 2020
1792020
Multibench: Multiscale benchmarks for multimodal representation learning
PP Liang, Y Lyu, X Fan, Z Wu, Y Cheng, J Wu, L Chen, P Wu, MA Lee, ...
arXiv preprint arXiv:2107.07502, 2021
1052021
Anemia in rural China's elementary schools: prevalence and correlates in Shaanxi province's poor counties
R Luo, M Kleiman-Weiner, S Rozelle, L Zhang, C Liu, B Sharbono, Y Shi, ...
Ecology of food and nutrition 49 (5), 357-372, 2010
562010
Guided uncertainty-aware policy optimization: Combining learning and model-based strategies for sample-efficient policy learning
MA Lee, C Florensa, J Tremblay, N Ratliff, A Garg, F Ramos, D Fox
2020 IEEE International Conference on Robotics and Automation (ICRA), 7505-7512, 2020
542020
Multimodal sensor fusion with differentiable filters
MA Lee, B Yi, R Martín-Martín, S Savarese, J Bohg
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
502020
On the opportunities and risks of foundation models (2021)
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2022
342022
& Liang, P.(2021). On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 0
33
Detect, reject, correct: Crossmodal compensation of corrupted sensors
MA Lee, M Tan, Y Zhu, J Bohg
2021 IEEE international conference on robotics and automation (ICRA), 909-916, 2021
232021
Differentiable factor graph optimization for learning smoothers
B Yi, MA Lee, A Kloss, R Martín-Martín, J Bohg
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
222021
See, hear, and feel: Smart sensory fusion for robotic manipulation
H Li, Y Zhang, J Zhu, S Wang, MA Lee, H Xu, E Adelson, L Fei-Fei, R Gao, ...
arXiv preprint arXiv:2212.03858, 2022
212022
Interpreting contact interactions to overcome failure in robot assembly tasks
PA Zachares, MA Lee, W Lian, J Bohg
2021 IEEE International Conference on Robotics and Automation (ICRA), 3410-3417, 2021
172021
On the Opportunities and Risks of Foundation Models. arXiv [cs. LG], 2021
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
10
Guided uncertainty-aware policy optimization: combining model-free and model-based strategies for sample-efficient learning
J Tremblay, D Fox, M Lee, C Florensa, ND Ratliff, G Animesh, FT Ramos
US Patent App. 16/780,465, 2021
72021
Fusion for Robot Perception and Control
MA Lee
Stanford University, 2021
2021
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation (Supplementary Materials)
H Li, Y Zhang, J Zhu, S Wang, MA Lee, H Xu, E Adelson, L Fei-Fei, R Gao, ...
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