| Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation L Tai, G Paolo, M Liu Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International …, 2017 | 927 | 2017 |
| A deep-network solution towards model-less obstacle avoidance L Tai, S Li, M Liu Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International …, 2016 | 329* | 2016 |
| MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships Y Chen, L Tai, K Sun, M Li Computer Vision and Pattern Recognition (CVPR), 2020 | 325 | 2020 |
| A robot exploration strategy based on q-learning network L Tai, M Liu Real-time Computing and Robotics (RCAR), IEEE International Conference on, 57-62, 2016 | 283* | 2016 |
| Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning L Tai, J Zhang, M Liu, W Burgard 2018 IEEE International Conference on Robotics and Automation (ICRA), 1111-1117, 2018 | 231 | 2018 |
| A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation L Tai*, J Zhang*, M Liu, J Boedecker, W Burgard arXiv preprint arXiv:1612.07139, 2018 | 203* | 2018 |
| Neural SLAM: Learning to Explore with External Memory J Zhang, L Tai, J Boedecker, W Burgard, M Liu arXiv preprint arXiv:1706.09520, 2017 | 178 | 2017 |
| Pointseg: Real-time semantic segmentation based on 3d lidar point cloud Y Wang, T Shi, P Yun, L Tai, M Liu arXiv preprint arXiv:1807.06288, 2018 | 176 | 2018 |
| Towards cognitive exploration through deep reinforcement learning for mobile robots L Tai, M Liu arXiv preprint arXiv:1610.01733, 2016 | 147 | 2016 |
| VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control J Zhang*, L Tai*, P Yun, Y Xiong, M Liu, J Boedecker, W Burgard IEEE Robotics and Automation Letters, 2019 | 143 | 2019 |
| High-speed Autonomous Drifting with Deep Reinforcement Learning P Cai, X Mei, L Tai, Y Sun, M Liu IEEE Robotics and Automation Letters, 2020 | 137 | 2020 |
| Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning O Zhelo, J Zhang, L Tai, M Liu, W Burgard ICRA 2018 Workshop, 2018 | 131 | 2018 |
| Focal Loss in 3D Object Detection P Yun, L Tai, Y Wang, M Liu IEEE Robotics and Automation Letters, 2019 | 70 | 2019 |
| A gaze model improves autonomous driving C Liu, Y Chen, L Tai, H Ye, M Liu, BE Shi Proceedings of the 11th ACM symposium on eye tracking research …, 2019 | 34 | 2019 |
| Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective L Tai, P Yun, Y Chen, C Liu, H Ye, M Liu Intelligent Robots and Systems (IROS), 2019 IEEE/RSJ International …, 2019 | 28 | 2019 |
| Gaze Training by Modulated Dropout Improves Imitation Learning Y Chen, C Liu, L Tai, M Liu, BE Shi Intelligent Robots and Systems (IROS), 2019 IEEE/RSJ International …, 2019 | 22 | 2019 |
| Extrinsic calibration of 3d range finder and camera without auxiliary object or human intervention Q Liao, M Liu, L Tai, H Ye arXiv preprint arXiv:1703.04391, 2017 | 22 | 2017 |
| Narrow-gap laser-MIG hybrid welding of thick-section steel with different shielding gas nozzles C Cai, L Li, L Tai The International Journal of Advanced Manufacturing Technology 92, 909-916, 2017 | 16 | 2017 |
| MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving J Jiao, P Yun, L Tai, M Liu Intelligent Robots and Systems (IROS), 2020 IEEE/RSJ International Conference on, 2020 | 15 | 2020 |
| PCA-aided fully convolutional networks for semantic segmentation of multi-channel fMRI L Tai, H Ye, Q Ye, M Liu 2017 18th International Conference on Advanced Robotics (ICAR), 124-130, 2017 | 14 | 2017 |
Ming LiuROAS Thrust, Hong Kong University of Science and Technology (GZ)Верификована је имејл адреса на hkust-gz.edu.cn