Motion planning networks: Bridging the gap between learning-based and classical motion planners AH Qureshi, Y Miao, A Simeonov, MC Yip IEEE Transactions on Robotics 37 (1), 48-66, 2020 | 260 | 2020 |
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints L Li, Y Miao, AH Qureshi, MC Yip IEEE Robotics and Automation Letters 6 (3), 4496-4503, 2021 | 63 | 2021 |
Efficient and high-quality prehensile rearrangement in cluttered and confined spaces R Wang, Y Miao, KE Bekris 2022 International Conference on Robotics and Automation (ICRA), 1968-1975, 2022 | 32 | 2022 |
Online Object Model Reconstruction and Reuse for Lifelong Improvement of Robot Manipulation S Lu, R Wang, Y Miao, C Mitash, K Bekris 2022 International Conference on Robotics and Automation (ICRA), 1540-1546, 2022 | 14 | 2022 |
Safe, occlusion-aware manipulation for online object reconstruction in confined spaces Y Miao, R Wang, K Bekris The International Symposium of Robotics Research, 268-284, 2022 | 5 | 2022 |
Active continual learning for planning and navigation AH Qureshi, Y Miao, MC Yip ICML 2020 Workshop on Real World Experiment Design and Active Learning, 2020 | 3 | 2020 |
Resolution Complete In-Place Object Retrieval given Known Object Models D Nakhimovich, Y Miao, KE Bekris 2023 IEEE International Conference on Robotics and Automation (ICRA), 3714-3720, 2023 | | 2023 |
Towards End-To-End Learning-Based Algorithms in Motion Planning Y Miao University of California, San Diego, 2020 | | 2020 |