Ming Liu
Cited by
Cited by
Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation
L Tai, G Paolo, M Liu
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
HMM-based human fall detection and prediction method using tri-axial accelerometer
L Tong, Q Song, Y Ge, M Liu
IEEE Sensors Journal 13 (5), 1849-1856, 2013
Improving RGB-D SLAM in dynamic environments: A motion removal approach
Y Sun, M Liu, MQH Meng
Robotics and Autonomous Systems 89, 110-122, 2017
A deep-network solution towards model-less obstacle avoidance
L Tai, S Li, M Liu
2016 IEEE/RSJ international conference on intelligent robots and systems …, 2016
Tightly coupled 3d lidar inertial odometry and mapping
H Ye, Y Chen, M Liu
2019 International Conference on Robotics and Automation (ICRA), 3144-3150, 2019
Challenging Data Sets for Point Cloud Registration Algorithms
F Pomerleau, M Liu, F Colas, R Siegwart
The International Journal of Robotics Research, 2012
Tracking a depth camera: Parameter exploration for fast icp
F Pomerleau, S Magnenat, F Colas, M Liu, R Siegwart
Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International …, 2011
Neural slam: Learning to explore with external memory
J Zhang, L Tai, M Liu, J Boedecker, W Burgard
arXiv preprint arXiv:1706.09520, 2017
Topological Mapping and Scene Recognition With Lightweight Color Descriptors for an Omnidirectional Camera
M Liu, R Siegwart
Robotics, IEEE Transactions on 30 (2), 310 - 324, 2013
Lifelong federated reinforcement learning: a learning architecture for navigation in cloud robotic systems
B Liu, L Wang, M Liu
IEEE Robotics and Automation Letters 4 (4), 4555-4562, 2019
Experience in System Design for Human-Robot Teaming in Urban Search & Rescue⋆
GJM Kruijff, M Janıcek, S Keshavdas, B Larochelle, H Zender, N Smets, ...
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
A robot exploration strategy based on q-learning network
L Tai, M Liu
2016 IEEE international conference on real-time computing and robotics (RCAR …, 2016
Core–shell–shell upconversion nanoparticles with enhanced emission for wireless optogenetic inhibition
X Lin, X Chen, W Zhang, T Sun, P Fang, Q Liao, X Chen, J He, M Liu, ...
Nano letters 18 (2), 948-956, 2018
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
Robotic Online Path Planning on Point Cloud
M Liu
IEEE Transactions on Cybernetics 46 (5), 1217-1228, 2016
Rtfnet: Rgb-thermal fusion network for semantic segmentation of urban scenes
Y Sun, W Zuo, M Liu
IEEE Robotics and Automation Letters 4 (3), 2576-2583, 2019
Motion removal for reliable RGB-D SLAM in dynamic environments
Y Sun, M Liu, MQH Meng
Robotics and Autonomous Systems 108, 115-128, 2018
Borophene and defective borophene as potential anchoring materials for lithium–sulfur batteries: a first-principles study
HR Jiang, W Shyy, M Liu, YX Ren, TS Zhao
Journal of Materials Chemistry A 6 (5), 2107-2114, 2018
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 4 (2), 1148-1155, 2019
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