| Where are we in the search for an artificial visual cortex for embodied intelligence? A Majumdar, K Yadav, S Arnaud, J Ma, C Chen, S Silwal, A Jain, ... Advances in Neural Information Processing Systems 36, 655-677, 2023 | 94 | 2023 |
| Encoding physical constraints in differentiable newton-euler algorithm G Sutanto, A Wang, Y Lin, M Mukadam, G Sukhatme, A Rai, F Meier Learning for Dynamics and Control, 804-813, 2020 | 58 | 2020 |
| Curious ilqr: Resolving uncertainty in model-based rl S Bechtle, Y Lin, A Rai, L Righetti, F Meier Conference on Robot Learning, 162-171, 2020 | 44 | 2020 |
| Efficient and interpretable robot manipulation with graph neural networks Y Lin, AS Wang, E Undersander, A Rai IEEE Robotics and Automation Letters 7 (2), 2740-2747, 2022 | 42 | 2022 |
| Modem: Accelerating visual model-based reinforcement learning with demonstrations N Hansen, Y Lin, H Su, X Wang, V Kumar, A Rajeswaran arXiv preprint arXiv:2212.05698, 2022 | 36 | 2022 |
| Masked trajectory models for prediction, representation, and control P Wu, A Majumdar, K Stone, Y Lin, I Mordatch, P Abbeel, A Rajeswaran International Conference on Machine Learning, 37607-37623, 2023 | 35 | 2023 |
| Polymetis Y Lin, AS Wang, G Sutanto, A Rai, F Meier | 28 | 2021 |
| Transformers are adaptable task planners V Jain, Y Lin, E Undersander, Y Bisk, A Rai Conference on Robot Learning, 1011-1037, 2023 | 22 | 2023 |
| Rb2: Robotic manipulation benchmarking with a twist S Dasari, J Wang, J Hong, S Bahl, Y Lin, A Wang, A Thankaraj, K Chahal, ... arXiv preprint arXiv:2203.08098, 2022 | 22 | 2022 |
| Learning state-dependent losses for inverse dynamics learning K Morse, N Das, Y Lin, AS Wang, A Rai, F Meier 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 9 | 2020 |
| Differentiable and learnable robot models F Meier, A Wang, G Sutanto, Y Lin, P Shah arXiv preprint arXiv:2202.11217, 2022 | 5 | 2022 |
| Translating robot skills: Learning unsupervised skill correspondences across robots T Shankar, Y Lin, A Rajeswaran, V Kumar, S Anderson, J Oh International Conference on Machine Learning, 19626-19644, 2022 | 4 | 2022 |
| Learning State-Dependent Losses for Inverse Dynamics Learning N Das, K Morse, Y Lin, A Wang, A Rai, F Meier | | |
| Exploring by Exploiting Bad Models in Model-Based Reinforcement Learning Y Lin, S Bechtle, L Righetti, A Rai, F Meier | | |
