Efficient multi-task allocation and path planning for unmanned surface vehicle in support of ocean operations. - Yuanchang Liu; Richard W. G. Bucknall (Neurocomputing, 2018)

A survey of formation control and motion planning of multiple unmanned vehicles. - Yuanchang Liu; Richard W. G. Bucknall (Robotica, 2018)

A Robust Localization Method for Unmanned Surface Vehicle (USV) Navigation Using Fuzzy Adaptive Kalman Filtering. - Wenwen Liu; Yuanchang Liu; Richard W. G. Bucknall (IEEE Access, 2019)

Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning. - Xinyuan Zhou; Peng Wu 033; Haifeng Zhang 002; Weihong Guo 001; Yuanchang Liu (IEEE Access, 2019)

Intelligent Tracking of Moving Ships in Constrained Maritime Environments Using AIS. - Yuanchang Liu; Rui Song 005; Richard W. G. Bucknall (Cybern. Syst., 2019)

Intelligent multi-task allocation and planning for multiple unmanned surface vehicles (USVs) using self-organising maps and fast marching method. - Yuanchang Liu; Rui Song 005; Richard W. G. Bucknall; Xinyu Zhang 020 (Inf. Sci., 2019)

Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning. - Xinyu Zhang 020; Chengbo Wang 001; Yuanchang Liu; Xiang Chen (Sensors, 2019)

Adaptive Localisation for Unmanned Surface Vehicles Using IMU-Interacting Multiple Model. - Bryan Adam Gunawan; Yuanchang Liu; Xudong Li (ICSSE, 2020)

RBFNN based terminal sliding mode adaptive control for electric ground vehicles after tire blowout on expressway. - Lu Yang 009; Ming Yue 001; Yuanchang Liu; Lie Guo (Appl. Soft Comput., 2020)

A Quantitative Method for Acesulfame K Using the Taste Sensor. - Yuanchang Liu; Xiao Wu; Yusuke Tahara; Hidekazu Ikezaki; Kiyoshi Toko (Sensors, 2020)

ShorelineNet: An Efficient Deep Learning Approach for Shoreline Semantic Segmentation for Unmanned Surface Vehicles. - Linghong Yao; Dimitrios Kanoulas; Ze Ji; Yuanchang Liu (IROS, 2021)

An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning. - Peng Wu; Julius S. Partridge; Enrico Anderlini; Yuanchang Liu; Richard W. G. Bucknall (CoRR, 2021)

On Aerial Robots with Grasping and Perching Capabilities: A Comprehensive Review. - Jiawei Meng; Joao Buzzatto; Yuanchang Liu; Minas V. Liarokapis (Frontiers Robotics AI, 2021)

Practical Moving Target Detection in Maritime Environments Using Fuzzy Multi-sensor Data Fusion. - Wenwen Liu; Yuanchang Liu; Bryan Adam Gunawan; Richard W. G. Bucknall (Int. J. Fuzzy Syst., 2021)

Unsupervised learning based coordinated multi-task allocation for unmanned surface vehicles. - Song Ma; Weihong Guo 001; Rui Song; Yuanchang Liu (Neurocomputing, 2021)

Navigating high-speed unmanned surface vehicles: System approach and validations. - Jiayuan Zhuang; Lei Zhang; Bo Wang; Yumin Su; Hanbing Sun; Yuanchang Liu; Richard W. G. Bucknall (J. Field Robotics, 2021)

A Multi-Sensor Environmental Perception System for an Automatic Electric Shovel Platform. - Xudong Li; Chong Liu; Jingmin Li; Mehdi Baghdadi; Yuanchang Liu (Sensors, 2021)

WODIS: Water Obstacle Detection Network Based on Image Segmentation for Autonomous Surface Vehicles in Maritime Environments. - Xiang Chen; Yuanchang Liu; Kamalasudhan Achuthan (IEEE Trans. Instrum. Meas., 2021)

A Fully-autonomous Framework of Unmanned Surface Vehicles in Maritime Environments using Gaussian Process Motion Planning. - Jiawei Meng; Ankita Humne; Richard Bucknall; Brendan J. Englot; Yuanchang Liu (CoRR, 2022)

Anisotropic GPMP2: A Fast Continuous-Time Gaussian Processes Based Motion Planner for Unmanned Surface Vehicles in Environments With Ocean Currents. - Jiawei Meng; Yuanchang Liu; Richard Bucknall; Weihong Grace Guo; Ze Ji (IEEE Trans Autom. Sci. Eng., 2022)

Exploring the Technical Advances and Limits of Autonomous UAVs for Precise Agriculture in Constrained Environments. - Meriem Ben Miled; Davide Grande; Xudong Li; Yuanchang Liu (CASE, 2023)

Local Navigation Among Movable Obstacles with Deep Reinforcement Learning. - Linghong Yao; Valerio Modugno; Yuanchang Liu; Danail Stoyanov; Dimitrios Kanoulas (CoRR, 2023)

Balancing Calibration and Performance: Stochastic Depth in Segmentation BNNs. - Linghong Yao; Denis Hadjivelichkov; Andromachi Maria Delfaki; Yuanchang Liu; Brooks Paige; Dimitrios Kanoulas (BMVC, 2024)

DISO: Direct Imaging Sonar Odometry. - Shida Xu; Kaicheng Zhang; Ziyang Hong; Yuanchang Liu; Sen Wang 002 (ICRA, 2024)

Local Path Planning among Pushable Objects based on Reinforcement Learning. - Linghong Yao; Valerio Modugno; Andromachi Maria Delfaki; Yuanchang Liu; Danail Stoyanov; Dimitrios Kanoulas (IROS, 2024)

Dynamic Obstacle Avoidance of Unmanned Surface Vehicles in Maritime Environments Using Gaussian Processes Based Motion Planning. - Jiawei Meng; Yuanchang Liu; Danail Stoyanov (CoRR, 2024)

Stiffness modelling and analysis of soft fluidic-driven robots using Lie theory. - Jialei Shi; Azadeh Shariati; Sara-Adela Abad; Yuanchang Liu; Jian S. Dai 001; Helge A. Wurdemann (Int. J. Robotics Res., 2024)

Identification of Beef Odors under Different Storage Day and Processing Temperature Conditions Using an Odor Sensing System. - Yuanchang Liu; Nan Peng; Jinlong Kang; Takeshi Onodera; Rui Yatabe (Sensors, 2024)

An End-to-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems. - Song Ma; Jingqing Ruan; Yali Du 001; Richard Bucknall; Yuanchang Liu (IEEE Trans Autom. Sci. Eng., 2025)

Underwater Robotic Simulators Review for Autonomous System Development. - Sara Aldhaheri; Yang Hu; Yongchang Xie; Peng Wu; Dimitrios Kanoulas; Yuanchang Liu (CoRR, 2025)