Publications

Here is only a selected list of publications. The full-list is accessible under request:

You can Visit the following page for the ranking of Publications in Robotic Field:

Journals | 2019, 2018, 2017, 2016, 2015, 2014, 2013

Conferences | 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009

Books | Books Chapters | Recent Reprints | Reports

Books

Ming Liu, Haoyao Chen, Markus Vincze, Computer Vision Systems, LNCS Series, volume 10528, Springer, 2017

Book Chapters

Wang, S., Colas, F., Liu, M., Mondada, F., & Magnenat, S. (2018). Localization of inexpensive robots with low-bandwidth sensors. In Distributed Autonomous Robotic Systems (pp. 545-558). Springer, Cham.
Peng Yun, Jianhao Jiao and Ming Liu (2017) Towards a Cloud Robotics Platform for Distributed Visual SLAM. In: Liu M., Chen H., Vincze M. (eds) Computer Vision Systems. ICVS 2017. Lecture Notes in Computer Science, vol 10528. Springer, Cham

Lujia Wang, Ming Liu, et al., A Pricing Mechanism for Task Oriented Resource Allocation in Cloud Robotics, Springer Book on Robots and Sensor Clouds, 2016, ISSN 2198-4182, ISBN 978-3-319-22168-7
Qinghai Liao, Ming Liu, Wenchong Zhang and Peng Shi (2017) Visual Tracking and Servoing System for Experiment of Optogenetic Control of Brain Activity. In: Liu M., Chen H., Vincze M. (eds) Computer Vision Systems. ICVS 2017. Lecture Notes in Computer Science, vol 10528. Springer, Cham
Hui Zhang, Xiangwei Wang, Xiaoguo Du, Ming Liu and Qijun Chen (2017) Dynamic Environments Localization via Dimensions Reduction of Deep Learning Features. In: Liu M., Chen H., Vincze M. (eds) Computer Vision Systems. ICVS 2017. Lecture Notes in Computer Science, vol 10528. Springer, Cham
Jianhao Jiao, Peng Yun and Ming Liu (2017) A Cloud-Based Visual SLAM Framework for Low-Cost Agents. In: Liu M., Chen H., Vincze M. (eds) Computer Vision Systems. ICVS 2017. Lecture Notes in Computer Science, vol 10528. Springer, Cham

Journals

2019

Hengli Wang, Yuxiang Sun and Ming Liu, Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs, IEEE Robotics and Automation Letters (RA-L), vol. 4, no. 4, pp. 4386-4393, October 2019.
Jin Wu, Yuxiang Sun, Miaomiao Wang, Ming Liu, Hand-eye Calibration: 4D Procrustes Analysis Approach, IEEE Transactions on Instrumentation and Measurement, available online August 8, 2019
Jianghua Duan, Yongsheng Ou, Sheng Xu, Ming Liu, Sequential Learning Unification Controller from Human Demonstrations for Robotic Compliant Manipulation, Neurocomputing, available online 30 July 2019, In Press
Rui Fan, Umar Ozgunalp, Brett Hosking, Ming Liu, Ioannis Pitas, “Pothole Detection Based on Disparity Transformation and Road Surface Modeling.” IEEE Transactions on Image Processing, 2019.
Jin Wu, Ming Liu, Yuhua Qi, Computationally Efficient Robust Algorithm for Generalized Sensor Calibration Problem AR = RB. IEEE Sensors Journal, June 2019
Boyi Liu, Lujia Wang, Ming Liu, Chengzhong Xu, Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems, IEEE Robotics and Automation Letters (RA-L), 2019, accepted
Qing Liang and Ming Liu, An Automatic Site Survey Approach for Indoor Localization using a Smartphone, IEEE Transactions on Automation Science and Engineering (TASE), 2019, accepted
Chengju Liu, Tong Zhang, Changzhu Zhang, Ming Liu, Qijun Chen, Foot Placement Compensator Design for Humanoid Walking Based on Discrete Control Lyapunov Function, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 10.1109/TSMC.2019.2912417, 2019
Sheng Xu, Yongsheng Ou, Jianghua Duan, Xinyu Wu, Wei Feng, Ming Liu, Robot trajectory tracking control using learning from demonstration method, Neurocomputing, Vol 338, 2019, pp 249-261
Yuxiang Sun, Weixun Zuo, Ming Liu, RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes, IEEE Robotics and Automation Letters (RA-L), vol. 4, no. 3, pp. 2576–2583, July 2019.
Xuebin Sun, Han Ma, Yuxiang Sun, Ming Liu, A Novel Point Cloud Compression Algorithm Based On Clustering, IEEE Robotics and Automation Letters (RA-L), 2019, accepted
Yuxiang Sun, Ming Liu and Max Q.-H. Meng, Active Perception for Foreground Segmentation: An RGB-D Data-based Background Modelling Method, IEEE Transactions on Automation Science and Engineering (TASE), 2019, accepted
Wu, Jin and Zhou, Zebo and Fourati, Hassen and Li, Rui and Liu, Ming, Generalized Linear Quaternion Complementary Filter for Attitude Estimation from Multi-Sensor Observations: An Optimization Approach, IEEE Transactions on Automation Science and Engineering (TASE), PP(99):1 January 2019
Jingwei Zhang*, Lei Tai*, Peng Yun, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard, VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control, IEEE Robotics and Automation Letters (RA-L). (* indicates equal contribution).
Xuebin Sun, Han Ma, Weixun Zuo, Ming Liu, Perceptual-Based HEVC Intra Coding Optimization Using Deep Convolution Networks, IEEE Access, Vol 7, Issue 1, pp 56308-56316, 2019
Peng Yun, Lei Tai, Yuan Wang, Chengju Liu, Ming Liu, Focal Loss in 3D Object Detection, IEEE Robotics and Automation Letters (RA-L).

2018

Chen, Xinxing and Xiang, Jiannan and Zhang, Chaobo and Chang, Chih-Chen and Liu, Ming, A high-accuracy image-based crack displacement sensor, Journal of Physics: Conference Series, vol.1149, 2018
Ming Liu, Real paradox as self-driving age nears, International Journal of Robotics Research, Applications and Automation, available online 6 November 2018
Xinxing Chen, Chih-chen Chang, Jiannan Xiang, Chaobo Zhang, Ming Liu, An Optical Crack Growth Sensor Using the Digital Sampling Moiré Method, Sensors, available online 15 October 2018, doi: 10.3390/s18103466.
Yuxiang Sun, Ming Liu, Max Q.-H. Meng, Motion removal for reliable RGB-D SLAM in dynamic environments, Robotics and Autonomous Systems (RAS), Volume 108, October 2018, Pages 115-128
Xinyu Wu, Du-Xin Liu, Ming Liu, Chunjie Chen, Huiwen Guo, Individualized Gait Pattern Generation for Sharing Lower Limb Exoskeleton Robot, IEEE Transactions on Automation Science and Engineering (TASE), 17 July 2018
Jin Wu, Zebo Zhou, Hassen Fourati, Ming Liu, Recursive Linear Continuous Quaternion Attitude Estimator From Vector Observations, IET Radar, Sonar & Navigation, May 2018 (in press)

2017

Xudong Lin, Xian Chen, Wenchong Zhang, Tianying Sun, Peilin Fang, Qinghai Liao, Xi Chen, Jufang He, Ming Liu, Feng Wang, and Peng Shi, Core-Shell-Shell Upconversion Nanoparticles with Enhanced Emission for Wireless Optogenetic Inhibition, Nano Letter, DOI: 10.1021/acs.nanolett.7b04339, December 26, 2017
Lei Tai, Shaohua Li, Ming Liu, Autonomous Exploration of Mobile Robots through Deep Neural Networks, International Journal of Advanced Robotic Systems (IJARS). Vol 14, Issue 4, July-25-2017.
Ying Wang, Xudong Lin, Xi Chen, Xian Chen, Zhen Xu, Wenchong Zhang, Qinghai Liao, Xin Duan, Xin Wang, Ming Liu, Feng Wang, Jufang He, Peng Shi, Tetherless near-infrared control of brain activity in behaving animals using fully implantable upconversion microdevices, Biomaterials, Available online 14 July, 2017 (in press)
Yuxiang Sun, Ming Liu, et al, Improving RGB-D SLAM in dynamic environments: A motion removal approach, Robotics and Automation System (RAS), Vol 89, Pages 110-122, March 2017,
Lujia Wang, Ming Liu, et al., A Hierarchical Auction-based Mechanism for Real-Time Resource Allocation in Cloud Robotic Systems, 11 Feb, IEEE Transactions on Cybernetics (TCYB), vol. 47, no. 2, pp. 473-484, Feb. 2017. DOI: 10.1109/TCYB.2016.2519525

2016

Qiu Kejie, Fangyi Zhang, Ming Liu, Let The Light Guide us: VLC-based localization, IEEE Robotics and Automation Magazine (RAM), Vol 23, Issue 4, pp 174-183, Dec 2016,
Lei Tai, Ming Liu, Mobile robots exploration through cnn-based reinforcement learning, Robotics and Biomimetics, 21 December 2016, DOI: 10.1186/s40638-016-0055-x.

2015

Ming Liu, Robotic Online Path Planning on Point Cloud, IEEE Transactions on Cybernetics (TCYB), 2016 May;46(5):1217-28. doi: 10.1109 / TCYB.2015.2430526. Epub 2015 May 20.,
Lujia Wang, Ming Liu, et al., Real-time Multi-sensor Information Retrieval for Cloud Robotic Systems, IEEE Transactions on Automation Science and Engineering (TASE), Vol.12, Number 2, April 2015.

2014

G-J. Kruijff et al. Ming Liu, Designing, developing, and deploying systems to support human-robot teams in disaster response, Advanced Robotics, vol. 28, no. 23, special issue on Disaster Response Robotics, 2014,
Ming Liu, Luc Oth, Francis Colas, Roland Siegwart, Incremental Topological Segmentation for Semi-structured Environments, Autonomous Robots (AURO), Vol. 37, Issue 3, Aug. 2014.
Ming Liu, Roland Siegwart, Topological mapping and scene recognition with lightweight color descriptors for omnidirectional camera, IEEE Transactions on Robotics (TRO), Vol. 30, Issue 2, pp. 310- 324, April. 2014.

2013

Ming Liu, Cedric Pradalier, Roland Siegwart, Visual Homing from Scale with an Uncalibrated Omnidirectional Camera, IEEE Transactions on Robotics (TRO), Vol. 29, Issue 6, pp.1353 - 1365, Dec. 2013.
Francois Pomerleau, Ming Liu, Francis Colas, Roland Siegwart, Challenging Data Sets for Point Cloud Registration Algorithms International Journal of Robotics Research (IJRR), vol 31, issue 14, pp 1705-1711, 2012,

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Conferences

2019

Peide Cai, Yuxiang Sun, Yuying Chen, Ming Liu, Vision-Based Trajectory Planning via Imitation Learning for Autonomous Vehicles, IEEE Intelligent Transportation Systems Society Conference Management System (ITSC 2019), October 27-30, 2019, Auckland, New Zealand.
Huaiyang Huang Yuxiang Sun, Ming Liu, Reliable Monocular Visual SLAM in Rainy Urban Environments, IEEE Intelligent Transportation Systems Society Conference Management System (ITSC 2019), October 27-30, 2019, Auckland, New Zealand.
Yang Yu, Wenliang GAO, Shaojie Shen, Ming Liu, A GPS-aided Omnidirectional Visual-Inertial State Estimator in Ubiquitous Environments, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), November 4-8, 2019, Macau, China.
Huaiyang Huang, Yuxiang Sun, Haoyang Ye, Ming Liu, Metric Monocular Localization using Signed Distance Field-based Maps, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), November 4-8, 2019, Macau, China.
Jianhao Jiao, Yang Yu, Qinghai Liao, Haoyang Ye, Ming Liu, Automatic Calibration of Multiple 3D LiDARs in Outdoor Environment, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), November 4-8, 2019, Macau, China.
Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu, Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), November 4-8, 2019, Macau, China.
Yuying Chen*, Congcong Liu*, Lei Tai, Ming Liu, Bertram Shi, Gaze Training by Modulated Dropout Improves Imitation Learning. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), November 4-8, 2019, Macau, China.
Congcong Liu*, Yuying Chen*, Lei Tai, Ming Liu, Bertram Shi, Utilizing Eye Gaze to Enhance the Generalization of Imitation Network to Unseen Environments, ICML 2019 workshop on Understanding and Improving Generalization in Deep Learning, June 9-15, 2019, Long Beach, USA (* indicates equal contribution)
Zhengyong Chen, Qinghai Liao, Zhe Wang, Yang Liu, Ming Liu, Image Detector Based Automatic 3D Data Labeling and Training for Vehicle Detection on Point Cloud, 2019 IEEE Intelligent Vehicles Symposium (IEEE-IV), June 9-12, 2019, Paris, France
Rui Fan*, Mohammud Junaid Bocus*, Yilong Zhu, Jianhao Jiao, Li Wang, Fulong Ma, Shanshan Cheng, Ming Liu, Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding, 2019 IEEE Intelligent Vehicles Symposium (IEEE-IV), June 9-12, 2019, Paris, France
Jianhao Jiao*, Qinghai Liao*, Yilong Zhu, Tianyu Liu, Yang Yu, Rui Fan, Lujia Wang, Ming Liu, A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces, 2019 IEEE Intelligent Vehicles Symposium (IEEE-IV), June 9-12, 2019, Paris, France
Rui Fan, Jianhao Jiao, Jie Pan, Huaiyang Huang, Shaojie Shen, Ming Liu, Real-Time Dense Stereo Embedded in A UAV for Road Inspection, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 16-20, 2019, Long Beach, USA
Congcong Liu*, Yuying Chen*, Lei Tai, Haoyang Ye, Ming Liu, Bertram Shi, A Gaze Model Improves Autonomous Driving, ACM Symposium on Eye Tracking Research & Applications (ETRA), June 25-28, 2019, Denver, USA (* indicates equal contribution) (acceptance ratio 37.9%)
Jianhao Jiao, Rui Fan, Han Ma, Ming Liu, Using DP Towards A Shortest Path Problem-Related Application, International Conference on Robotics and Automation (ICRA), May 20-24, 2019, Montreal, Canada
Haoyang Ye, Yuying Chen and Ming Liu, Tightly Coupled 3D Lidar Inertial Odometry and Mapping, International Conference on Robotics and Automation (ICRA), May 20-24, 2019, Montreal, Canada
Peng Yun, Lei Tai, Yuan Wang, Chengju Liu, Ming Liu, Focal Loss in 3D Object Detection, International Conference on Robotics and Automation (ICRA RA-L submission), May 20-24, 2019, Montreal, Canada,

2018

Yuxuan Liu, Lujia Wang and Ming Liu, Real Time Probabilistic Mapping for Sonar Sensor by Optimization, IEEE International Conference on Robotics and Biomimetics (ROBIO 2018), Dec 12-15, 2018, Malaysia
Qinghai LIAO, Zhenyong Chen, Yang LIU, Zhe Wang and Ming LIU, Extrinsic Calibration of Lidar and Camera with Polygon, IEEE International Conference on Robotics and Biomimetics (ROBIO 2018), Dec 12-15, 2018, Malaysia
Yanan Liu, Rui Fan, Bin Yu, M. Junaid Bocus, Ming Liu, Hepeng Ni, Jiahe Fan, Shixin Mao, Mobile Robot Localisation and Navigation Using LEGO NXT and Ultrasonic Sensor, IEEE International Conference on Robotics and Biomimetics (ROBIO 2018), Dec 12-15, 2018, Malaysia
Yuying Chen, Ming Liu, and Lujia Wang, RRT* Combined with GVO for Real-time Nonholonomic Robot Navigation in Dynamic Environment, IEEE International Conference on Real-time Computing and Robotics (RCAR), August 1-5, 2018, Kandima, Maldives
Zhe Wang, Yang Liu, Qinghai Liao, Haoyang Ye, Ming Liu and Lujia Wang, Characterization of a RS-LiDAR for 3D Perception, IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), July 19-23, 2018, Tianjin, China
Muhammad Usman Maqbool Bhutta, Ming Liu, PCR-Pro - 3D Sparse and Different Scale Point Clouds Registration and Robust Estimation of Information Matrix For Pose Graph SLAM, IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), Finalist for Best Paper Award, July 19-23, 2018, Tianjin, China telligent Systems (CYBER), July 19-23, 2018, Tianjin, China
Qing Liang, Lujia Wang, Youfu Li, Ming Liu, Indoor Mapping and Localization for Pedestrians using Opportunistic Sensing with Smartphones, Finalist of ABB Best Student Paper Award IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)
Qing Liang, Lujia Wang, Youfu Li, Ming Liu, Plugo: a Scalable Visible Light Communication System towards Low-cost Indoor Localization, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)
Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard, Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning, International Conference on Robotics and Automation (ICRA), May 21-25, 2018, Brisbane, Australia,
Oleksii Zhelo, Jingwei Zhang, Lei Tai, Ming Liu, Wolfram Burgard, Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning, ICRA 2018 Workshop on Machine Learning in Planning and Control of Robot Motion, May 21, 2018, Brisbane, Australia,

2017

Yandong Liu, Lujia Wang, and Cheng-zhong Xu, Ming Liu, A Novel Swarm Robot Simulation Platform for Warehousing Logistics, IEEE International Conference on Robotics and Biomimetics (ROBIO), December 5-8, 2017, Macau, China.
Lei Tai, Giuseppe Paolo, Ming Liu, Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 24-28, 2017, Vancouver, Canada.

Lujia Wang, Yinting Luo, Luyu Wang and Ming Liu, Point-cloud Compression Using Data Independent Method - A 3D Discrete Cosine Transform Approach, IEEE International Conference Information and Automation (ICIA) Best Paper in Automation Award, July 18-20, 2017, Macau, China

Lei Tai, Haoyang Ye, Qiong Ye, Ming Liu, PCA-aided Fully Convolutional Networks for Semantic Segmentation of Multi-channel fMRI, IEEE International Conference on Advanced Robotics (ICAR) Best Student Paper Award, July 10-12, 2017, Hong Kong, China.
Sukai Wang, Huaiyang Huang, Ming Liu, Simultaneous clustering classification and tracking on point clouds using Bayesian filter, 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), Macau, China
Dejun Guo, Hesheng Wang, Weidong Chen, Ming Liu, Zeyang Xia, Kam K. Leang (2017): A Unified Leader-Follower Scheme for Mobile Robots with Uncalibrated On-board Camera. IEEE International Conference on Robotics and Automation (ICRA), Sands Expo and Convention Centre, Marina Bay Sands in Singapore, May 29 - June 3, 2017
Peng Yun, Jianhao Jiao and Ming Liu, Towards a Cloud Robotics Platform for Distributed Visual SLAM, International Conference on Computer Vision Systems, ICVS 2017, July 10-13, China
Qinghai LIAO, Ming Liu, Wenchong Zhang and Peng Shi, Visual Tracking and Servoing System for Experiment of Optogenetic Control of Brain Acitivity, International Conference on Computer Vision Systems, ICVS 2017, July 10-13, China
Hui Zhang, Xiangwei Wang, Xiaoguo Du, Ming Liu and Qijun Chen, Dynamic Environments Localization via Dimensions Reduction of Deep Learning Features, International Conference on Computer Vision Systems, ICVS 2017, July 10-13, China
Jianhao Jiao, Peng Yun and Ming Liu, A Cloud-Based Visual SLAM framework for Low-Cost Agents, International Conference on Computer Vision Systems, ICVS 2017, July 10-13, China
Tianwei Li, Steve Hailes, Simon Julier, Ming Liu, UAV-Based SLAM and 3D Reconstruction System, Proceedings of the IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
Yuxiang Sun, Ming Liu, Max Q. H-. Meng, Invisibility: A Moving-object Removal Approach for Dynamic Scene Modelling using RGB-D Camera, Proceedings of the IEEE International Conference on Robotics and Biomimetics, ROBIO 2017

2016

Weibin Wu, Deli Wang, Tianyunyang Wang, Ming Liu, A Personalized Limb Rehabilitation Training System for Stroke Patients, Proceedings of the IEEE International Conference on Robotics and Biomimetics, ROBIO 2016.
Shiling Wang, Francis Colas, Ming Liu, Francesco Mondada, Stéphane Magnenat, Localization of inexpensive robots with low-bandwidth sensors, 13th International Symposium on Distributed Autonomous Robotic Systems, DARS 2016.
Lei Tai, Shaohua Li, and Ming Liu, A Deep-network Solution Towards Model-less Obstacle Avoidance, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, 2016.
Qinghai Liao, Ming Liu, Peng Shi and Wencong Zhang, A Flexible Object Tracking System for Planary Motion, IEEE International Conference on Real-time Computing and Robotics, RCAR 2016, June 6-10, 2016, Angkor Wat, Cambodia.
Lei Tai and Ming Liu, A Robot Exploration Strategy Based on Q-learning Network, IEEE International Conference on Real-time Computing and Robotics, RCAR 2016, June 6-10, 2016, Angkor Wat, Cambodia.
Yanpeng Liu, Yuwen Cao, Yibin Li, Ming Liu, Rui Song, Yafang Wang, Zhigang Xu and Xin Ma, Facial Expression Recognition with PCA and LBP Features Extracting from Active Facial Patches, IEEE International Conference on Real-time Computing and Robotics, RCAR 2016, June 6-10, 2016, Angkor Wat, Cambodia.
Isaac Deutsch, Ming Liu and Roland Siegwart, A Framework for Multi-Robot Pose Graph SLAM, IEEE International Conference on Real-time Computing and Robotics, RCAR 2016, June 6-10, 2016, Angkor Wat, Cambodia.

2015

Gianni, M. Kruijff-Korbayova, I. Worst, R. and the NIFTi Project Team. Human-robot teaming in disaster response - a user-centric approach. In Proceedings of the ICRA 2015 Workshop on Robotics & Automation Technologies for Humanitarian Applications: Where we are & Where we can be. Seattle, Washington, May 2015.
Fangyi Zhang, Kejie Qiu, Ming Liu, Asynchronous Blind Signal Decomposition Using Tiny-Length Code for Visible Light Communication-Based Indoor Localization, IEEE International Conference on Robotics and Automation (ICRA), 2015, ,
Wenxin Liu, Shuo Yang, Ming Liu, A 6D-pose estimation method for UAV using known lines, IEEE International Conference on CYBER Technology in Automation, Control and Intelligent Systems, Best Conference Paper Award, IEEE-CYBER 2015, , Youtube
Shaohua Li, Huimin Huang, Yue Zhang, Ming Liu, An Efficient Multi-scale Convolutional Neural Network for Image Classification Based on PCA, Invited Paper for the 2015 International Conference on Real-time Computing and Robotics (RCAR 2015), Finalist for Best Student Paper Award, June 23-26, 2015, Changsha, China, ,
Kejie Qiu, Fangyi Zhang, Ming Liu, Visible Light Communication-based Indoor Localization using Gaussian Process, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015,
Kejie Qiu, Fangyi Zhang, Ming Liu, Visible Light Communication-based Indoor Localization and Metric-free Path Planning, IEEE International Conference on Automation Science and Engineering (CASE), Gothenburg, Sweden, 2015
Guoyang Xie, Tao Xu, Carsten Isert, Michael Aeberhard, Shaohua Li, Ming Liu, Online Active Calibration for a Multi-LRF System, IEEE 18th International Conference on Intelligent Transportation Systems (ITS), 2015,
Ming Liu, Kejie Qiu, Fangyi Zhang, Visible Light Communication-aided Real-time Indoor Localization, Invited Paper for the 2015 International Conference on Real-time Computing and Robotics (RCAR 2015), June 23-26, 2015, Changsha, China
Ming Liu, ROS for multiple robot applications, Invited Tutorial for the 2015 International Conference on Real-time Computing and Robotics (RCAR 2015), June 23-26, 2015, Changsha, China
Hao Chen, Panbing Wang, Ming Liu, From Co-saliency Detection to Object Co-segmentation: A unified Multi-stage Low-rank Matrix Recovery Approach, in Proceedings of the IEEE International Conference on Robotics and Biomimetics, ROBIO 2015.
Yuxiang Sun, Ming Liu, et al., Motion Removal from Moving Platforms: An RGB-D Data-based Motion Detection, Tracking and Segmentation Approach, in Proceedings of the IEEE International Conference on Robotics and Biomimetics, Best Conference Paper Finalist, ROBIO 2015.

2014

Ming Liu, Roland Siegwart, Navigation on Point-cloud - a Riemannian Metric approach, IEEE International Conference on Robotics and Automation (ICRA), 2014,
Ming Liu, Kejie Qiu, Shaohua Li, Fengyu Che, Liang Wu, C. Patrick Yue, Towards Indoor Localization using Visible Light Communication for Consumer Electronic Devices, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014,
Matthew Tan, Lujia Wang, Danilo Tardioli, Ming Liu, A Resource Allocation Strategy in a Robotic Ad-Hoc Network, In Proceedings of the Robotica 2014 (Selected for journal publication), IEEE ICARSC
Lujia Wang, Ming Liu, et al, Hierarchical Auction-based Mechanism for Real-time Resource Retrieval in Cloud Mobile Robotic System, 2014 IEEE International Conference on Robotics and Automation (ICRA)
Ming Liu, Efficient Segmentation and Plane Modeling of point-cloud for structured environment by Normal Clustering and Tensor Voting, in Proceedings of the IEEE International Conference on Robotics and Biomimetics, (ROBIO) 2014.
Yuxiang Sun, Ming Liu, et. al., WiFi Signal Strength-based Robot Indoor Localization, IEEE International Conference on Information and Automation, ICIA 2014.

2013

Ming Liu, Bekir Tufan Alper, Roland Siegwart, An adaptive descriptor for uncalibrated omnidirectional images - towards scene reconstruction by trifocal tensor, IEEE International Conference on Robotics and Automation (ICRA), 2013.
Ming Liu, Roland Siegwart, Information Theory based Validation for Point-cloud Segmentation aided by Tensor Voting, Best Paper in Information IEEE International Conference on Information and Automation (ICIA), 2013.
Matthew Tan, Ming Liu and Roland Siegwart, An Experimental Evaluation of the RT-WMP Routing Protocol in an Indoor Environment, Best Paper Finalist IEEE International Conference on Information and Automation (ICIA), 2013.
Francis Colas, Srivatsa Mahesh, Francois Pomerleau, Ming Liu, Roland Siegwart, 3D Path Planning and Execution for Search and Rescue Ground Robots, Best RoboCup Paper Award IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013.
Lujia Wang, Ming Liu, et al, An Auction-based Resource Allocation Strategy for Joint-surveillance using Networked Multi-Robot Systems, 2013 IEEE International Conference on Information and Automation (ICIA)
Jie Song, Ming Liu, A Hidden Markov Model approach for Voronoi Localization, in Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013.
Shengdong Xu, Ming Liu, Feature Selection and Pose Estimation From Known Planar Objects Using Monocular Vision, in Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013.

2012

Ming Liu, Roland Siegwart, DP-FACT: Towards topological mapping and scene recognition with color for omnidirectional camera, IEEE International Conference on Robotics and Automation (ICRA), 2012.
Ming Liu, Cedric Pradalier, Francois Pomerleau, Roland Siegwart, Scale-only Visual Homing from an Omnidirectional Camera, IEEE International Conference on Robotics and Automation (ICRA), 2012.
Ming Liu, Lujia Wang, Roland Siegwart, DP-Fusion: A generic framework for online multi sensor recognition, Best Student Paper Award, IEEE International Conference on Multisensor Fusion and Information Integration (MFI), 2012.
Geert-Jan Kruijff, Miroslav Janicek, Shanker Keshavdas, Benoit Larochelle, Hendrik Zender, Nanja Smets, Tina Mioch, Mark Neerincx, Jurriaan van Diggelen, Francis Colas, Ming Liu, Francois Pomerleau, Roland Siegwart, Vaclav Hlavac, Tomas Svoboda, Tomas Petricke, Michael Reinstein, Karel Zimmerman, Fiora Pirri and Mario Gianni, Experience in System Design for Human-Robot Teaming in Urban Search & Rescue, International Conference on Field and Service Robotics (FSR), 2012.
Lujia Wang, Ming Liu, and Roland Siegwart, Towards Real- time Multi Sensor Information Retrieval in Cloud Robotic System, Best Paper Finalist. IEEE International Conference on Multisensor Fusion and Information Integration MFI, 2012.
S. Keshavdas, H. Zender, GJM Kruijff, Ming Liu, Francis Colas, Functional mapping: Spatial inferencing to aid human-robot rescue efforts in unstructured disaster environments, AAAI Spring Symposium on Designing Intelligent Robots, 2012.
Francois Pomerleau, Andreas Breitenmoser, Ming Liu, Francis Colas, Roland Siegwart, Noise Characterization of Depth Sensors for Surface Inspections, International Conference on Applied Robotics for the Power Industry (CARPI), 2012.
Ming Liu, Cedric Pradalier, Francois Pomerleau, Roland Siegwart, The Role of Homing in Visual Topological Navigation, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012.
Ming Liu, Francis Colas, Francois Pomerleau, Roland Siegwart, A Markov Semi-Supervised Clustering Approach and Its Application in Topological Map Extraction, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012.
Ming Liu, Francois Pomerleau, Francis Colas and Roland Siegwart, Normal Estimation for Pointcloud using GPU based Sparse Tensor Voting, IEEE International Conference on Robotics and Biomimetics (ROBIO), 2012.
Lujia Wang, Ming Liu, et al., Towards Cloud Robotic System: A case Study of Online Co-localization for Fair Resource Competence, 2012 IEEE International Conference on Robotics and Biomimetics ROBIO, 2012.

2011

Ming Liu, Francis Colas and Roland Siegwart, Regional topological segmentation based on Mutual Information Graphs, IEEE International Conference on Robotics and Automation (ICRA), 2011.
Mario Gianni, Panagiotis Papadakis, Fiora Pirri, Ming Liu, Francois Pomerleau, Francis Colas, Karel Zimmermann, Tomas Svoboda, Tomas Petricek, Geert Kruijff, Hendrik Zender and Harmish Khambhaita, A unified framework for planning and execution-monitoring of mobile robots, The AAAI-11 Workshop on Automated Action Planning for Autonomous Mobile Robots (AAAI PAMR), 2011.
Francois Pomerleau, Benoit Lescot, Francis Colas, Ming Liu and Roland Siegwart, Dataset acquisitions for USAR environments , AAAI 2011 Fall Symposium on Robot-Human Team-Work in Dynamic Adverse Environments (AAAI RHTDAE), 2011.
Francois Pomerleau, Stephane Magnenat, Francis Colas, Ming Liu, Roland Siegwart, Tracking a Depth Camera: Parameter Exploration for Fast ICP, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2011.

2010

Ming Liu, Cedric Pradalier, Roland Siegwart and Qijun Chen, A Bearing-only 2D/3D-homing method under a visual servoing framework, IEEE International Conference on Robotics and Automation (ICRA), 2010.

2009

Ming Liu, Davide Scaramuzza, Cedric Pradalier, Roland Siegwart and Qijun Chen, Scene Recognition with Omnidirectional Vision for Topological Map using Lightweight Adaptive Descriptors, IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), 2009.

Recent Preprints

Jingwei Zhang, Lei Tai, Joschka Boedecker, Wolfram Burgard, Ming Liu, Neural SLAM: Learning to Explore with External Memory, arXiv 1706.09520.

Qinghai Liao, Ming Liu, Lei Tai, Haoyang Ye, Extrinsic Calibration of 3D Range Finder and Camera without Auxiliary Object or Human Intervention, arXiv 1703.04391.
Lei Tai*, Jingwei Zhang*, Ming Liu, Joschka Boedecker, Wolfram Burgard, A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation. arxiv 1612.07139. (* indicates equal contribution).
Lei Tai, Ming Liu, Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots, arxiv 1610.01733.

Reports

Supplement file of VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control, 2018
Towards Dynamic Object Detection using Key-point matching and Superpixel Segmentation
TechReport: Asychronous Blind Signal Decomposition Using Tiny-Length Code for Visible Light Communication-Based Indoor Localization

A Technical Report on Deep Visual Homing through Omnidirectional Camera, 2016

Robotics and Multi-Perception Lab, Robotics Institute, HKUST

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