Browse by UCL people
Group by: Type | Date
Number of items: 101.
Article
Chen, Qianqian;
Xiao, Changshi;
Wen, Yuanqiao;
Yuan, Haiwen;
Huang, Yamin;
Liu, Yuanchang;
Zhang, Wenqiang;
(2023)
Knowledge-Driven Semantic Segmentation for Waterway Scene Perception.
IEEE Sensors Journal
10.1109/JSEN.2023.3304973.
(In press).
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Chen, X;
Liu, Y;
Achuthan, K;
Zhang, X;
(2020)
A ship movement classification based on Automatic Identification System (AIS) data using Convolutional Neural Network.
Ocean Engineering
, 218
, Article 108182. 10.1016/j.oceaneng.2020.108182.
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Chen, X;
Liu, Y;
Achuthan, K;
Zhang, X;
Chen, J;
(2021)
A semi-supervised deep learning model for ship encounter situation classification.
Ocean Engineering
, 239
, Article 109824. 10.1016/j.oceaneng.2021.109824.
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Chen, Yaxi;
Chen, Hongyi;
Harker, Anthony;
Liu, Yuanchang;
Huang, Jie;
(2024)
A supervised machine learning tool to predict the bactericidal efficiency of nanostructured surface.
Journal of Nanobiotechnology
, 22
(1)
, Article 748. 10.1186/s12951-024-02974-8.
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Chen, Zhen;
Zou, Meng;
Gaozhang, Wenlong;
Liu, Yuanchang;
Huang, Jie;
(2025)
Movement Environment Assessment and Force Prediction for Quadruped Robots.
Journal of Field Robotics
10.1002/rob.70035.
(In press).
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Chen, C;
Feng, M;
Jialun, L;
Negenborn, RR;
Liu, Y;
Yan, X;
(2020)
Controlling a cargo ship without human experience based on deep Q-network.
Journal of Intelligent and Fuzzy Systems
10.3233/JIFS-200754.
(In press).
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Chen, X;
Liu, Y;
Achuthan, K;
(2021)
WODIS: Water Obstacle Detection Network based on Image Segmentation for Autonomous Surface Vehicles in Maritime Environments.
IEEE Transactions on Instrumentation and Measurement
10.1109/TIM.2021.3092070.
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Ding, Laiqian;
Liu, Chong;
Yin, Shuqing;
Zhou, Zhanwei;
Chen, Jing;
Chen, Xueting;
Chen, Li;
... Li, Jingmin; + view all
(2022)
Engineering a dynamic three-dimensional cell culturing microenvironment using a 'sandwich' structure-liked microfluidic device with 3D printing scaffold.
Biofabrication
, 14
(4)
, Article 045014. 10.1088/1758-5090/ac8a19.
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Dong, Yuxuan;
Wu, Peng;
Wang, Sen;
Liu, Yuanchang;
(2023)
ShipGAN: Generative Adversarial Network based simulation-to-real image translation for ships.
Applied Ocean Research
, 131
, Article 103456. 10.1016/j.apor.2022.103456.
(In press).
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Dong, Z;
Ding, Y;
Liu, W;
Hu, Z;
Lu, S;
Liu, Y;
(2025)
Maneuverability parameter identification of a water-jet USV based on truncated weighted LSSVM integrated with adaptive mutation PSO algorithm.
Ocean Engineering
, 321
, Article 120474. 10.1016/j.oceaneng.2025.120474.
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Dong, Z;
Liu, W;
Ding, Y;
Lu, S;
Hu, Z;
Liu, Y;
(2025)
Time-varying formation trajectory tracking scheme for underactuated USVs based on adaptive sliding mode control with improved guidance strategy.
Ocean Engineering
, 331
, Article 121340. 10.1016/j.oceaneng.2025.121340.
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Dong, Z;
Lu, S;
Hu, Z;
Liu, W;
Ding, Y;
Liu, Y;
(2026)
A novel digital twin model based bio-heuristic sliding mode control algorithm for trajectory tracking control of USV in the presence of complex marine environment disturbance.
Robotics and Autonomous Systems
, 195
, Article 105219. 10.1016/j.robot.2025.105219.
(In press).
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Dong, Z;
Zhou, W;
Tan, F;
Wang, B;
Wen, Z;
Liu, Y;
(2024)
Simultaneous modeling and adaptive fuzzy sliding mode control scheme for underactuated USV formation based on real-time sailing state data.
Ocean Engineering
, 314
, Article 119743. 10.1016/j.oceaneng.2024.119743.
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Dong, Zaopeng;
Hu, Zhihao;
Hou, Jiaxin;
Lu, Sihang;
Ding, Yilun;
Liu, Wangsheng;
Liu, Yuanchang;
(2025)
Parameter identification and real-time motion prediction for a water-jet unmanned surface vehicle based on online sparse least squares support vector machine algorithm.
Control Engineering Practice
, 164
, Article 106508. 10.1016/j.conengprac.2025.106508.
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Dong, Zaopeng;
Lu, Sihang;
Hu, Zhihao;
Liu, Wangsheng;
Ding, Yilun;
Liu, Yuanchang;
(2025)
Simultaneous modeling and backstepping control algorithm for trajectory tracking of underactuated USV based on real-time sailing data in complex ocean conditions.
ISA Transactions
, 166
pp. 145-158.
10.1016/j.isatra.2025.07.013.
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Dong, Zaopeng;
Tan, Fei;
Zhou, Wenjie;
Wang, Baolin;
Liu, Yuanchang;
(2024)
Distributed formation control of underactuated UMVs based on nonlinear model prediction algorithm with obstacle avoidance strategy incorporating relative velocity constraints.
Ocean Engineering
, 312
(Part 3)
, Article 119272. 10.1016/j.oceaneng.2024.119272.
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Dong, Zaopeng;
Wang, Baolin;
Tan, Fei;
Zhou, Wenjie;
Liu, Yuanchang;
(2024)
Online parameter identification and real-time manoeuvring prediction for a water-jet USV based on weighted multi-innovation prediction error method integrated with dynamic window strategy.
Applied Ocean Research
, 153
, Article 104260. 10.1016/j.apor.2024.104260.
(In press).
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Dong, Zaopeng;
Zhang, Zhengqi;
Qi, Shijie;
Zhang, Haisheng;
Li, Jiakang;
Liu, Yuanchang;
(2023)
Autonomous cooperative formation control of underactuated USVs based on improved MPC in complex ocean environment.
Ocean Engineering
, 270
, Article 11363. 10.1016/j.oceaneng.2023.113633.
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Fan, A;
Yan, X;
Bucknall, R;
Yin, Q;
Ji, S;
Liu, Y;
Song, R;
(2018)
A novel ship energy efficiency model considering random environmental parameters.
Journal of Marine Engineering and Technology
10.1080/20464177.2018.1546644.
(In press).
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Fang, H;
Tang, T;
He, Z;
Liu, Y;
Zhang, J;
(2022)
A novel hybrid machine tool integrating a symmetrical redundantly actuated parallel mechanism: Design, kinematics, prototype and experiment.
Mechanism and Machine Theory
, 176
, Article 105013. 10.1016/j.mechmachtheory.2022.105013.
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Guo, Lihua;
Liu, Yuanchang;
Liu, Li;
Yin, Penghe;
Liu, Chong;
Li, Jingmin;
(2023)
Study of the mechanism of embolism removal in xylem vessels by using microfluidic devices.
Lab on a Chip
, 23
(4)
pp. 737-747.
10.1039/D2LC00945E.
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Guo, Lihua;
Liu, Yuanchang;
Ran, Penghui;
Wang, Gang;
Shan, Jie;
Li, Xudong;
Liu, Chong;
(2022)
A bioinspired bubble removal method in microchannels based on angiosperm xylem embolism repair.
Microsystems & Nanoengineering
, 8
, Article 34. 10.1038/s41378-022-00367-1.
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Guo, Muzhuang;
Guo, Chen;
Zhang, Chuang;
Zhang, Xinyu;
Liu, Yuanchang;
(2023)
Intelligent fault detection algorithm based on Hi/H∞ optimization and a cascaded neural networks.
Ocean Engineering
, 272
, Article 113835. 10.1016/j.oceaneng.2023.113835.
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Guo, Muzhuang;
Zhou, Xiaomin;
Guo, Chen;
Liu, Yuanchang;
Zhang, Chuang;
Bai, Weiwei;
(2024)
Adaptive federated filter–combined navigation algorithm based on observability sharing factor for maritime autonomous surface ships.
Journal of Marine Engineering and Technology
10.1080/20464177.2024.2305721.
(In press).
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Hansen, Kasper Foss;
Yao, Linghong;
Ren, Kang;
Wang, Sen;
Liu, Wenwen;
Liu, Yuanchang;
(2023)
Image segmentation in marine environments using convolutional LSTM for temporal context.
Applied Ocean Research
, 139
, Article 103709. 10.1016/j.apor.2023.103709.
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He, Y;
Fan, A;
Wang, Z;
Liu, Y;
Mao, W;
(2021)
Two-phase energy efficiency optimisation for ships using parallel hybrid electric propulsion system.
Ocean Engineering
, 238
, Article 109733. 10.1016/j.oceaneng.2021.109733.
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Huang, Luofeng;
Pena, Blenca;
Liu, Yuanchang;
Anderlini, Enrico;
(2022)
Machine learning in sustainable ship design and operation: A review.
Ocean Engineering
, 266
(2)
, Article 112907. 10.1016/j.oceaneng.2022.112907.
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Kutin, Nana;
Bucknall, Richard;
Wu, Peng;
Liu, Yuanchang;
(2025)
Vessel trajectory classification from a graph network perspective.
Advanced Engineering Informatics
, 69
(D)
, Article 104082. 10.1016/j.aei.2025.104082.
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Li, C;
Xu, H;
Yu, W;
Du, Z;
Liu, Y;
(2024)
Exponential smoothing-based fixed-time path-guided coordinated control of unmanned surface vehicles under communication interruption.
Ocean Engineering
, 298
, Article 117119. 10.1016/j.oceaneng.2024.117119.
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Li, Y;
Yin, S;
Jiang, N;
Li, X;
Liu, C;
Li, J;
Liu, Y;
(2021)
Novel sinuous band microelectrode array for electrochemical amperometric sensing.
Electrochemistry Communications
, 133
, Article 107159. 10.1016/j.elecom.2021.107159.
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Li, Y;
Zuo, S;
Ding, L;
Xu, P;
Wang, K;
Liu, Y;
Li, J;
(2020)
Sensitive immunoassay of cardiac troponin I using an optimized microelectrode array in a novel integrated microfluidic electrochemical device.
Analytical and Bioanalytical Chemistry
, 412
pp. 8325-8338.
10.1007/s00216-020-02968-z.
|
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Li, J;
Guo, L;
Li, Y;
Lei, Z;
Liu, Y;
Shi, W;
Li, T;
... Liu, C; + view all
(2016)
A device mimicking the biomechanical characteristics of crocodile skull for lumbar fracture reduction.
Bioinspiration & Biomimetics
, 11
(5)
, Article 056004. 10.1088/1748-3190/11/5/056004.
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Li, J;
Wei, J;
Liu, Y;
Liu, B;
Liu, T;
Jiang, Y;
Ding, L;
(2017)
A microfluidic design to provide a stable and uniform in vitro microenvironment for cell culture inspired by the redundancy characteristic of leaf areoles.
Lab on a Chip
, 17
(22)
pp. 3921-3933.
10.1039/c7lc00343a.
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Li, X;
Liu, C;
Li, J;
Baghdadi, M;
Liu, Y;
(2021)
A Multi-Sensor Environmental Perception System for an Automatic Electric Shovel Platform.
Sensors
, 21
(13)
, Article 4355. 10.3390/s21134355.
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Liang, C;
Liu, Y;
Niu, A;
Liu, C;
Li, J;
Ning, D;
(2019)
Smartphone-App based point-of-care testing for myocardial infarction biomarker cTnI using an autonomous capillary microfluidic chip with self-aligned on-chip focusing (SOF) lenses.
Lab on a Chip
, 19
(10)
pp. 1797-1807.
10.1039/C9LC00259F.
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Lin, Jiahua;
Wang, Yangwei;
Duan, Huawei;
Liu, Yuanchang;
Zhang, Jun;
(2023)
A scaled wind turbine model-based aerodynamic testing apparatus for offshore floating wind turbines.
Journal of Marine Engineering & Technology
, 22
(6)
pp. 263-272.
10.1080/20464177.2023.2180832.
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Lin, Jiahua;
Wang, Yangwei;
Zhang, Guanchen;
Liu, Yuanchang;
Zhang, Jun;
(2024)
Novel tuned mass dampers installed inside tower of spar offshore floating wind turbines.
Ocean Engineering
, 301
, Article 117412. 10.1016/j.oceaneng.2024.117412.
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Liu, Keyang;
Liu, Yuanchang;
Cai, Baoping;
Paik, Jeom Kee;
(2026)
A calculation method for the digital twin of aging jacket platforms within the digital healthcare engineering framework.
Ocean Engineering
, 343
, Article 123367. 10.1016/j.oceaneng.2025.123367.
(In press).
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Liu, Wenwen;
Liu, Yuanchang;
Bucknall, Richard;
(2022)
Filtering based multi-sensor data fusion algorithm for a reliable unmanned surface vehicle navigation.
Journal of Marine Engineering & Technology
, 22
(2)
pp. 67-83.
10.1080/20464177.2022.2031558.
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Liu, Wenwen;
Pei, Jinlei;
Ye, Yujian;
Liu, Yuanchang;
Bucknall, Richard;
Xu, Dezhi;
(2024)
Prescribed-performance-based adaptive fractional-order sliding mode control for ship DC microgrid.
Ocean Engineering
, 311
(2)
, Article 118885. 10.1016/j.oceaneng.2024.118885.
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Liu, Yuanchang;
Liu, Wenwen;
Song, Rui;
Bucknall, Richard;
(2017)
Predictive navigation of unmanned surface vehicles in a dynamic maritime environment when using the fast marching method.
International Journal of Adaptive Control and Signal Processing
, 31
(4)
pp. 464-488.
10.1002/acs.2561.
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Liu, W;
Liu, Y;
Bucknall, R;
(2019)
A Robust Localization Method for Unmanned Surface Vehicle (USV) Navigation Using Fuzzy Adaptive Kalman Filtering.
IEEE Access
, 7
pp. 46071-46083.
10.1109/ACCESS.2019.2909151.
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Liu, W;
Liu, Y;
Gunawan, BA;
Bucknall, R;
(2020)
Practical Moving Target Detection in Maritime Environments Using Fuzzy Multi-sensor Data Fusion.
International Journal of Fuzzy Systems
10.1007/s40815-020-00963-1.
(In press).
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Liu, Y;
Bucknall, R;
(2018)
A survey of formation control and motion planning of multiple unmanned vehicles.
Robotica
, 36
(7)
pp. 1019-1047.
10.1017/S0263574718000218.
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Liu, Y;
Bucknall, R;
(2017)
Efficient multi-task allocation and path planning for unmanned surface vehicle in support of ocean operations.
Neurocomputing
, 275
pp. 1550-1566.
10.1016/j.neucom.2017.09.088.
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Liu, Y;
Bucknall, R;
(2016)
The angle guidance path planning algorithms for unmanned surface vehicle formations by using the fast marching method.
Applied Ocean Research
, 59
pp. 327-344.
10.1016/j.apor.2016.06.013.
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Liu, Y;
Bucknall, R;
(2015)
Path planning algorithm for unmanned surface vehicle formations in a practical maritime environment.
Ocean Engineering
, 97
126 - 144.
10.1016/j.oceaneng.2015.01.008.
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Liu, Y;
Bucknall, R;
Zhang, X;
(2017)
The fast marching method based intelligent navigation of an unmanned surface vehicle.
Ocean Engineering
, 142
pp. 363-376.
10.1016/j.oceaneng.2017.07.021.
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Liu, Y;
Liang, C;
Liu, C;
Li, X;
Li, C;
Duan, C;
Li, J;
(2018)
One-step selective wettability modification of PMMA microfluidic devices by using controllable gradient UV irradiation (CGUI).
Sensors and Actuators B: Chemical
, 273
pp. 1508-1518.
10.1016/j.snb.2018.07.034.
|
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Liu, Y;
Song, R;
Bucknall, R;
(2019)
Intelligent Tracking of Moving Ships in Constrained Maritime Environments Using AIS.
Cybernetics and Systems
, 50
(6)
pp. 539-555.
10.1080/01969722.2019.1630566.
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Liu, Y;
Song, R;
Bucknall, R;
Xinyu, Z;
(2019)
Intelligent Multi-Task Allocation and Planning for Multiple Unmanned Surface Vehicles (USVs) Using Self-Organising Maps and Fast Marching Method.
Information Sciences
, 496
pp. 180-197.
10.1016/j.ins.2019.05.029.
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Ma, Jianwei;
Ye, Tao;
Wang, Jian;
Yan, Huiteng;
Liu, Yuanchang;
(2022)
Machining-path mapping from free-state to clamped-state for thin-walled parts.
Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture
10.1177/09544054221076987.
(In press).
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Ma, S;
Guo, W;
Song, R;
Liu, Y;
(2021)
Unsupervised learning based coordinated multi-task allocation for unmanned surface vehicles.
Neurocomputing
, 420
pp. 227-245.
10.1016/j.neucom.2020.09.031.
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Ma, Song;
Liu, Cunjia;
Harvey, Christopher M;
Bucknall, Richard;
Liu, Yuanchang;
(2025)
Adaptive informative path planning for active reconstruction of spatio-temporal water pollution dispersion using Unmanned Surface Vehicles.
Applied Ocean Research
, 156
, Article 104458. 10.1016/j.apor.2025.104458.
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Ma, Song;
Ruan, Jingqing;
Du, Yali;
Bucknall, Richard;
Liu, Yuanchang;
(2024)
An End-to-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems.
IEEE Transactions on Automation Science and Engineering
pp. 1-15.
10.1109/tase.2024.3367237.
(In press).
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Ma, JW;
Hu, GQ;
Qin, FZ;
Li, GL;
Qu, ZW;
Liu, Y;
(2020)
Global tool axis vector optimization based on the minimum angular acceleration of rotary axes.
International Journal of Advanced Manufacturing Technology
, 107
(5-6)
pp. 2121-2136.
10.1007/s00170-020-05171-7.
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MahmoudZadeh, Somaiyeh;
Abbasi, Amin;
Yazdani, Amirmehdi;
Wang, Hai;
Liu, Yuanchang;
(2022)
Uninterrupted path planning system for Multi-USV sampling mission in a cluttered ocean environment.
Ocean Engineering
, 254
, Article 111328. 10.1016/j.oceaneng.2022.111328.
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Meng, J;
Liu, Y;
Bucknall, R;
Guo, W;
Ji, Z;
(2022)
Anisotropic GPMP2: A Fast Continuous-Time Gaussian Processes Based Motion Planner for Unmanned Surface Vehicles in Environments With Ocean Currents.
IEEE Transactions on Automation Science and Engineering
10.1109/TASE.2021.3139163.
(In press).
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Meng, Jiawei;
Humne, Ankita;
Bucknall, Richard;
Englot, Brendan;
Liu, Yuanchang;
(2022)
A Fully-Autonomous Framework of Unmanned Surface Vehicles in Maritime Environments Using Gaussian Process Motion Planning.
IEEE Journal of Oceanic Engineering
10.1109/joe.2022.3194165.
(In press).
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Meng, Jiawei;
Liu, Yuanchang;
Stoyanov, Danail;
(2026)
Dynamic obstacle avoidance of unmanned surface vehicles in maritime environments using Gaussian processes based motion planning.
Ocean Engineering
, 343
(Part S)
, Article 123413. 10.1016/j.oceaneng.2025.123413.
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Ouyang, W;
Zhou, Z;
Jin, Y;
Yan, X;
Liu, Y;
(2020)
Ultrasonic measurement of lubricant film thickness distribution of journal bearing.
Review of Scientific Instruments
, 91
(6)
, Article 065111. 10.1063/5.0007481.
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Song, R;
Liu, Y;
Bucknall, R;
(2018)
Smoothed A* algorithm for practical unmanned surface vehicle path planning.
Applied Ocean Research
, 83
pp. 9-20.
10.1016/j.apor.2018.12.001.
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Song, R;
Liu, Y;
Bucknall, R;
(2017)
A multi-layered fast marching method for unmanned surface vehicle path planning in a time-variant maritime environment.
Ocean Engineering
, 129
pp. 301-317.
10.1016/j.oceaneng.2016.11.009.
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Spaven, F;
Liu, Y;
Baghdadi, M;
(2022)
Going further with smaller EVs: System-level battery range, emissions and charging infrastructure analysis.
Journal of Cleaner Production
, 369
, Article 133349. 10.1016/j.jclepro.2022.133349.
(In press).
|
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Spaven, F;
Liu, Y;
Bucknall, R;
Coombs, T;
Baghdadi, M;
(2021)
Thermal design of superconducting cryogenic rotor: Solutions to conduction cooling challenges.
Case Studies in Thermal Engineering
, 28
, Article 101423. 10.1016/j.csite.2021.101423.
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Sun, Shi Yan;
Li, Yueyang;
Cui, Jie;
Liu, Yuanchang;
(2025)
Effects of covers on dynamic response of a barge-type wind turbine with four moonpools.
Ocean Engineering
, 338
, Article 121987. 10.1016/j.oceaneng.2025.121987.
(In press).
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Wang, S;
Ma, F;
Yan, X;
Wu, P;
Liu, Y;
(2021)
Adaptive and extendable control of unmanned surface vehicle formations using distributed deep reinforcement learning.
Applied Ocean Research
, 110
, Article 102590. 10.1016/j.apor.2021.102590.
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Wang, Shuwu;
Yan, Xinping;
Ma, Feng;
Wu, Peng;
Liu, Yuanchang;
(2022)
A novel path following approach for autonomous ships based on fast marching method and deep reinforcement learning.
Ocean Engineering
, 257
, Article 111495. 10.1016/j.oceaneng.2022.111495.
|
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Wei, J;
Cheng, L;
Li, J;
Liu, Y;
Yin, S;
Xu, B;
Wang, D;
... Liu, C; + view all
(2020)
A microfluidic platform culturing two cell lines paralleled under in-vivo like fluidic microenvironment for testing the tumor targeting of nanoparticles.
Talanta
, 208
, Article 120355. 10.1016/j.talanta.2019.120355.
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Wu, P;
Partridge, J;
Anderlini, E;
Liu, Y;
Bucknall, R;
(2021)
Near-optimal energy management for plug-in hybrid fuel cell and battery propulsion using deep reinforcement learning.
International Journal of Hydrogen Energy
, 46
(80)
pp. 40022-40040.
10.1016/j.ijhydene.2021.09.196.
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Xie, Yongchang;
Nanlal, Cassandra;
Liu, Yuanchang;
(2024)
Reliable LiDAR-based ship detection and tracking for Autonomous Surface Vehicles in busy maritime environments.
Ocean Engineering
, 312
(Part-3)
, Article 119288. 10.1016/j.oceaneng.2024.119288.
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Xie, Yongchang;
Wu, Peng;
Englot, Brendan;
Nanlal, Cassandra;
Liu, Yuanchang;
(2025)
Uncertainty-Aware Maritime Point Cloud Detector (U-MPCD) for Autonomous Surface Vehicles.
IEEE Journal of Oceanic Engineering
pp. 1-23.
10.1109/joe.2025.3612726.
(In press).
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Xue, H;
Chen, X;
Zhang, R;
WU, P;
Li, X;
Liu, Y;
(2021)
Deep Learning-Based Maritime Environment Segmentation for Unmanned Surface Vehicles Using Superpixel Algorithms.
Journal of Marine Science and Engineering
, 9
(12)
, Article 1329. 10.3390/jmse9121329.
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Yan, X;
Wang, S;
Ma, F;
Liu, Y;
Wang, J;
(2020)
A novel path planning approach for smart cargo ships based on anisotropic fast marching.
Expert Systems with Applications
, 159
, Article 113558. 10.1016/j.eswa.2020.113558.
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Yuan, Quan;
Ye, Yujian;
Tang, Yi;
Liu, Yuanchang;
Strbac, Goran;
(2022)
A Novel Deep-learning Based Surrogate Modeling of Stochastic Electric Vehicle Traffic User Equilibrium in Low-Carbon Electricity-Transportation Nexus.
Applied Energy
, 315
, Article 118961. 10.1016/j.apenergy.2022.118961.
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Yuan, X;
Liu, Y;
Bucknall, R;
(2021)
Optimised MOPSO with the grey relationship analysis for the multi-criteria objective energy dispatch of a novel SOFC-solar hybrid CCHP residential system in the UK.
Energy Conversion and Management
, 243
, Article 114406. 10.1016/j.enconman.2021.114406.
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Yuan, X;
Liu, Y;
Bucknall, R;
(2020)
A Novel Design of a Solid Oxide Fuel Cell-based Combined Cooling, Heat and Power Residential System in the UK.
IEEE Transactions on Industry Applications
10.1109/tia.2020.3034073.
(In press).
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Yue, M;
Yang, L;
Liu, Y;
Guo, L;
(2020)
RBFNN based terminal sliding mode adaptive control for electric ground vehicles after tire blowout on expressway.
Applied Soft Computing
, 92
, Article 106304. 10.1016/j.asoc.2020.106304.
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Zhang, Chuang;
Liu, Songtao;
Guo, Muzhuang;
Liu, Yuanchang;
(2023)
A novel ship trajectory clustering analysis and anomaly detection method based on AIS data.
Ocean Engineering
, 288
(Part 2)
, Article 116082. 10.1016/j.oceaneng.2023.116082.
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Zhang, R;
Liu, Y;
Anderlini, E;
(2021)
Robust trajectory tracking control for unmanned surface vessels under motion constraints and environmental disturbances.
Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment
10.1177/14750902211039663.
(In press).
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Zhang, X;
Wang, C;
Liu, Y;
Chen, X;
(2019)
Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning.
Sensors
, 19
(18)
, Article 4055. 10.3390/s19184055.
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Zhou, X;
Wu, P;
Zhang, H;
Guo, W;
Liu, Y;
(2019)
Learn to navigate: cooperative path planning for unmanned surface vehicles using deep reinforcement learning.
IEEE Access
, 7
pp. 165262-165278.
10.1109/ACCESS.2019.2953326.
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Zhuang, J;
Zhang, L;
Wang, B;
Su, Y;
Hanbing, S;
Liu, Y;
Bucknall, R;
(2021)
Navigating high‐speed unmanned surface vehicles: System approach and validations.
Journal of Field Robotics
, 38
(4)
pp. 619-652.
10.1002/rob.22003.
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Zhuang, J;
Luo, J;
Liu, Y;
(2020)
A Locking Sweeping Method Based Path Planning for Unmanned Surface Vehicles in Dynamic Maritime Environments.
Journal of Marine Science and Engineering
, 8
(11)
, Article 887. 10.3390/jmse8110887.
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Book chapter
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Liu, Y;
Bucknall, R;
(2019)
Modelling and Control of Autonomous Marine Vehicles.
In: Sharma, S and Subudhi, B, (eds.)
Navigation and Control of Autonomous Marine Vehicles.
IET
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Proceedings paper
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Aldhaheri, S;
Hu, Y;
Xie, Y;
Wu, P;
Kanoulas, D;
Liu, Y;
(2025)
Underwater Robotic Simulators Review for Autonomous System Development.
In:
Oceans Conference Record IEEE.
IEEE
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Bucknall, RWG;
Liu, YC;
Song, WW;
(2014)
Autonomous navigation system for unmanned surface vehicles.
In:
Proceedings of the 13th International Conference on Computer and IT Applications in the Maritime Industries, COMPIT’14.
(pp. pp. 123-135).
COMPIT: Redworth, UK.
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Dong, Z;
Liu, J;
Li, S;
Xu, C;
Liu, Y;
Wu, P;
(2025)
Progresses and Developments of Intelligent Tugs in Port Operations.
In:
Proceedings of the 8th International Conference on Transportation Information and Safety Transportation Artificial Intelligence and Green Energy Making A Sustainable World (ICTIS) 2025.
(pp. pp. 2021-2027).
IEEE
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Gunawan, BA;
Liu, Y;
Li, X;
(2020)
Adaptive Localisation for Unmanned Surface Vehicles Using IMU-Interacting Multiple Model.
In:
Proceedings of the 2020 International Conference on System Science and Engineering (ICSSE).
IEEE: Kagawa, Japan.
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Hu, Y;
Aldhaheri, S;
Wang, Y;
Wu, P;
Liu, Y;
(2025)
Enhancing Human-Robot Trust and Collaboration in Unmanned Surface Vehicles through Fault Diagnosis.
In:
Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) 2025.
(pp. pp. 2266-2272).
IEEE
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Liu, W;
Liu, Y;
Song, R;
Bucknall, R;
(2018)
The Design of an Embedded Multi-Sensor Data Fusion System for Unmanned Surface Vehicle Navigation Based on Real Time Operating System.
In:
Proceedings of the OCEANS’18 MTS/IEEE Kobe / Techno-Ocean 2018.
IEEE
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Liu, W;
Liu, Y;
Song, R;
Bucknall, R;
(2015)
The design of an autonomous maritime navigation system for unmanned surface vehicles.
In: Bertram, Volker, (ed.)
Proceedings of 14th International Conference on Computer Applications and Information Technology in the Maritime Industries (COMPIT).
Technische Universität Hamburg: Hamburg, Germany.
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Liu, W;
Liu, Y;
Song, R;
Bucknall, R;
(2015)
Towards the development of an autonomous navigation system for unmanned vessels.
In:
Proceedings of RIN International Navigation Conference 2015.
The Royal Institute of Navigation: Manchester, UK.
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Song, R;
Liu, W;
Liu, Y;
Bucknall, R;
(2016)
Aspects of a Reliable Autonomous Navigation and Guidance System for an Unmanned Surface Vehicle.
In: Zande, J and Kirkwood, B, (eds.)
OCEANS’16 MTS/IEEE Monterey.
IEEE
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Song, R;
Liu, Y;
Balbuena, J;
Cuellar, F;
Bucknall, R;
(2018)
Developing an Energy Effective Autonomous USV for Undertaking Missions at the Highlands of Peru.
In:
Proceedings of 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO).
IEEE: Kobe, Japan.
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Song, R;
Liu, Y;
Liu, W;
Bucknall, R;
(2015)
A Two-layered Fast Marching Path Planning Algorithm for an Unmanned Surface Vehicle Operating in a Dynamic Environment.
In:
Proceedings of OCEANS 2015.
IEEE: Genova, Italy.
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Xu, Shida;
Zhang, Kaicheng;
Hong, Ziyang;
Liu, Yuanchang;
Wang, Sen;
(2024)
DISO: Direct Imaging Sonar Odometry.
In:
2024 IEEE International Conference on Robotics and Automation (ICRA).
(pp. pp. 8573-8579).
IEEE: Yokohama, Japan.
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Yao, L;
Kanoulas, D;
Ji, Z;
Liu, Y;
(2021)
ShorelineNet: An Efficient Deep Learning Approach for Shoreline Semantic Segmentation for Unmanned Surface Vehicles.
In:
Proceedings of the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
(pp. pp. 5403-5409).
Institute of Electrical and Electronics Engineers (IEEE)
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Yuan, X;
Liu, Y;
Bucknall, R;
(2020)
A Novel Design of Solid Oxide Fuel Cell-Based Combined Cooling, Heat and Power Residential System in The UK.
In:
2019 8th International Conference on Renewable Energy Research and Applications (ICRERA).
(pp. pp. 212-217).
IEEE: Brasov Romania.
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Zhuang, J;
Luo, J;
Liu, Y;
Bucknall, R;
Sun, H;
Huang, C;
(2019)
Collision avoidance for unmanned surface vehicles based on COLREGS.
In:
2019 5th International Conference on Transportation Information and Safety (ICTIS) Proceedings.
(pp. pp. 1418-1425).
IEEE: Liverpool, UK.
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Thesis
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Liu, Y;
(2016)
Path planning algorithms for unmanned surface vehicle formation in maritime environment.
Doctoral thesis , UCL (University College London).
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