| robosuite: A modular simulation framework and benchmark for robot learning Y Zhu, J Wong, A Mandlekar, R Martín-Martín, A Joshi, S Nasiriany, Y Zhu arXiv preprint arXiv:2009.12293, 2020 | 426 | 2020 |
| What matters in learning from offline human demonstrations for robot manipulation A Mandlekar, D Xu, J Wong, S Nasiriany, C Wang, R Kulkarni, L Fei-Fei, ... arXiv preprint arXiv:2108.03298, 2021 | 387 | 2021 |
| igibson 1.0: A simulation environment for interactive tasks in large realistic scenes B Shen, F Xia, C Li, R Martín-Martín, L Fan, G Wang, C Pérez-D’Arpino, ... 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 162 | 2021 |
| Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation C Li, R Zhang, J Wong, C Gokmen, S Srivastava, R Martín-Martín, C Wang, ... Conference on Robot Learning, 80-93, 2023 | 152 | 2023 |
| Error-aware imitation learning from teleoperation data for mobile manipulation J Wong, A Tung, A Kurenkov, A Mandlekar, L Fei-Fei, S Savarese, ... Conference on Robot Learning, 1367-1378, 2022 | 56 | 2022 |
| Learning multi-arm manipulation through collaborative teleoperation A Tung, J Wong, A Mandlekar, R Martín-Martín, Y Zhu, L Fei-Fei, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 9212-9219, 2021 | 50 | 2021 |
| Oscar: Data-driven operational space control for adaptive and robust robot manipulation J Wong, V Makoviychuk, A Anandkumar, Y Zhu 2022 International Conference on Robotics and Automation (ICRA), 10519-10526, 2022 | 11 | 2022 |
