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Lei Tai (邰 磊)
Lei Tai (邰 磊)
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Verified email at connect.ust.hk - Homepage
Title
Cited by
Cited by
Year
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
7872017
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
287*2016
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
248*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
2402020
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
1962018
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
191*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
1712017
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
1472018
Towards cognitive exploration through deep reinforcement learning for mobile robots
L Tai, M Liu
arXiv preprint arXiv:1610.01733, 2016
1262016
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
1222019
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning
O Zhelo, J Zhang, L Tai, M Liu, W Burgard
ICRA 2018 Workshop, 2018
1052018
High-speed Autonomous Drifting with Deep Reinforcement Learning
P Cai, X Mei, L Tai, Y Sun, M Liu
IEEE Robotics and Automation Letters, 2020
932020
Focal Loss in 3D Object Detection
P Yun, L Tai, Y Wang, M Liu
IEEE Robotics and Automation Letters, 2019
612019
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
292019
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
202019
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
192017
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
152017
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
142019
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
142017
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
122020
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