A deep-network solution towards model-less obstacle avoidance. - Lei Tai; Shaohua Li; Ming Liu 001 (IROS, 2016)

A robot exploration strategy based on Q-learning network. - Lei Tai; Ming Liu 001 (RCAR, 2016)

Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots. - Lei Tai; Ming Liu 001 (CoRR, 2016)

Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not. - Lei Tai; Ming Liu 001 (CoRR, 2016)

PCA-aided Fully Convolutional Networks for Semantic Segmentation of Multi-channel fMRI. - Lei Tai; Qiong Ye; Ming Liu 001 (CoRR, 2016)

PCA-aided fully convolutional networks for semantic segmentation of multi-channel fMRI. - Lei Tai; Haoyang Ye; Qiong Ye; Ming Liu 001 (ICAR, 2017)

Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation. - Lei Tai; Giuseppe Paolo; Ming Liu 001 (IROS, 2017)

Extrinsic Calibration of 3D Range Finder and Camera without Auxiliary Object or Human Intervention. - Qinghai Liao; Ming Liu 001; Lei Tai; Haoyang Ye (CoRR, 2017)

Neural SLAM. - Jingwei Zhang 001; Lei Tai; Joschka Boedecker; Wolfram Burgard; Ming Liu 001 (CoRR, 2017)

Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning. - Giuseppe Paolo; Lei Tai; Ming Liu 001 (CoRR, 2017)

Socially Compliant Navigation Through Raw Depth Inputs with Generative Adversarial Imitation Learning. - Lei Tai; Jingwei Zhang 001; Ming Liu 001; Wolfram Burgard (ICRA, 2018)

VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control. - Jingwei Zhang 001; Lei Tai; Yufeng Xiong; Ming Liu 001; Joschka Boedecker; Wolfram Burgard (CoRR, 2018)

Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning. - Oleksii Zhelo; Jingwei Zhang 001; Lei Tai; Ming Liu 001; Wolfram Burgard (CoRR, 2018)

PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud. - Yuan Wang 015; Tianyue Shi; Peng Yun; Lei Tai; Ming Liu 001 (CoRR, 2018)

Focal Loss in 3D Object Detection. - Peng Yun; Lei Tai; Yuan Wang 015; Ming Liu 001 (CoRR, 2018)

A gaze model improves autonomous driving. - Congcong Liu; Yuying Chen; Lei Tai; Haoyang Ye; Ming Liu 001; Bertram E. Shi (ETRA, 2019)

Gaze Training by Modulated Dropout Improves Imitation Learning. - Yuying Chen; Congcong Liu; Lei Tai; Ming Liu 001; Bertram E. Shi (IROS, 2019)

Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective. - Lei Tai; Peng Yun; Yuying Chen; Congcong Liu; Haoyang Ye; Ming Liu 001 (IROS, 2019)

End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation. - Lei Tai; Peng Yun; Yuying Chen; Congcong Liu; Haoyang Ye; Ming Liu 001 (CoRR, 2019)

Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues. - Ting Sun 001; Lei Tai; Zhihan Gao 001; Ming Liu 001; Dit-Yan Yeung (CoRR, 2019)

Utilizing Eye Gaze to Enhance the Generalization of Imitation Networks to Unseen Environments. - Congcong Liu; Yuying Chen; Lei Tai; Ming Liu 001; Bertram E. Shi (CoRR, 2019)

Focal Loss in 3D Object Detection. - Peng Yun; Lei Tai; Yuan Wang 015; Chengju Liu; Ming Liu 001 (IEEE Robotics Autom. Lett., 2019)

VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control. - Jingwei Zhang 001; Lei Tai; Peng Yun; Yufeng Xiong; Ming Liu 001; Joschka Boedecker; Wolfram Burgard (IEEE Robotics Autom. Lett., 2019)

MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships. - Yongjian Chen; Lei Tai; Kai Sun; Mingyang Li (CVPR, 2020)

MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving. - Jianhao Jiao; Peng Yun; Lei Tai; Ming Liu 001 (IROS, 2020)

High-Speed Autonomous Drifting With Deep Reinforcement Learning. - Peide Cai; Xiaodong Mei 001; Lei Tai; Yuxiang Sun; Ming Liu 001 (IEEE Robotics Autom. Lett., 2020)