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2020 – today
- 2024
[j18]Jialei Shi
, Azadeh Shariati, Sara-Adela Abad, Yuanchang Liu, Jian S. Dai, Helge A. Wurdemann:
Stiffness modelling and analysis of soft fluidic-driven robots using Lie theory. Int. J. Robotics Res. 43(3): 354-384 (2024)- [j17]Yuanchang Liu, Nan Peng, Jinlong Kang, Takeshi Onodera, Rui Yatabe:
Identification of Beef Odors under Different Storage Day and Processing Temperature Conditions Using an Odor Sensing System. Sensors 24(17): 5590 (2024) - [c4]Shida Xu, Kaicheng Zhang, Ziyang Hong, Yuanchang Liu, Sen Wang:
DISO: Direct Imaging Sonar Odometry. ICRA 2024: 8573-8579 - 2023
- [c3]Meriem Ben Miled, Davide Grande, Xudong Li, Yuanchang Liu:
Exploring the Technical Advances and Limits of Autonomous UAVs for Precise Agriculture in Constrained Environments. CASE 2023: 1-8 - [i3]Linghong Yao, Valerio Modugno, Yuanchang Liu, Danail Stoyanov, Dimitrios Kanoulas:
Local Navigation Among Movable Obstacles with Deep Reinforcement Learning. CoRR abs/2303.02407 (2023) - 2022
- [j16]Jiawei Meng, Yuanchang Liu, Richard Bucknall, Weihong Grace Guo, Ze Ji:
Anisotropic GPMP2: A Fast Continuous-Time Gaussian Processes Based Motion Planner for Unmanned Surface Vehicles in Environments With Ocean Currents. IEEE Trans Autom. Sci. Eng. 19(4): 3914-3931 (2022) - [i2]Jiawei Meng, Ankita Humne, Richard Bucknall, Brendan J. Englot, Yuanchang Liu:
A Fully-autonomous Framework of Unmanned Surface Vehicles in Maritime Environments using Gaussian Process Motion Planning. CoRR abs/2204.10826 (2022) - 2021
- [j15]Jiawei Meng, Joao Buzzatto, Yuanchang Liu, Minas V. Liarokapis:
On Aerial Robots with Grasping and Perching Capabilities: A Comprehensive Review. Frontiers Robotics AI 8 (2021) - [j14]Wenwen Liu, Yuanchang Liu, Bryan Adam Gunawan, Richard W. G. Bucknall:
Practical Moving Target Detection in Maritime Environments Using Fuzzy Multi-sensor Data Fusion. Int. J. Fuzzy Syst. 23(6): 1860-1878 (2021) - [j13]Song Ma, Weihong Guo, Rui Song, Yuanchang Liu:
Unsupervised learning based coordinated multi-task allocation for unmanned surface vehicles. Neurocomputing 420: 227-245 (2021) - [j12]Jiayuan Zhuang, Lei Zhang, Bo Wang, Yumin Su, Hanbing Sun, Yuanchang Liu, Richard W. G. Bucknall:
Navigating high-speed unmanned surface vehicles: System approach and validations. J. Field Robotics 38(4): 619-652 (2021) - [j11]Xudong Li, Chong Liu, Jingmin Li, Mehdi Baghdadi, Yuanchang Liu:
A Multi-Sensor Environmental Perception System for an Automatic Electric Shovel Platform. Sensors 21(13): 4355 (2021) - [j10]Xiang Chen, Yuanchang Liu, Kamalasudhan Achuthan:
WODIS: Water Obstacle Detection Network Based on Image Segmentation for Autonomous Surface Vehicles in Maritime Environments. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c2]Linghong Yao, Dimitrios Kanoulas, Ze Ji, Yuanchang Liu:
ShorelineNet: An Efficient Deep Learning Approach for Shoreline Semantic Segmentation for Unmanned Surface Vehicles. IROS 2021: 5403-5409 - [i1]Peng Wu, Julius S. Partridge, Enrico Anderlini, Yuanchang Liu, Richard W. G. Bucknall:
An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning. CoRR abs/2108.00256 (2021) - 2020
- [j9]Lu Yang, Ming Yue, Yuanchang Liu, Lie Guo:
RBFNN based terminal sliding mode adaptive control for electric ground vehicles after tire blowout on expressway. Appl. Soft Comput. 92: 106304 (2020) - [j8]Yuanchang Liu, Xiao Wu, Yusuke Tahara, Hidekazu Ikezaki, Kiyoshi Toko:
A Quantitative Method for Acesulfame K Using the Taste Sensor. Sensors 20(2): 400 (2020) - [c1]Bryan Adam Gunawan, Yuanchang Liu, Xudong Li:
Adaptive Localisation for Unmanned Surface Vehicles Using IMU-Interacting Multiple Model. ICSSE 2020: 1-6
2010 – 2019
- 2019
- [j7]Wenwen Liu, Yuanchang Liu, Richard W. G. Bucknall:
A Robust Localization Method for Unmanned Surface Vehicle (USV) Navigation Using Fuzzy Adaptive Kalman Filtering. IEEE Access 7: 46071-46083 (2019) - [j6]Xinyuan Zhou, Peng Wu, Haifeng Zhang, Weihong Guo, Yuanchang Liu:
Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning. IEEE Access 7: 165262-165278 (2019) - [j5]Yuanchang Liu, Rui Song, Richard W. G. Bucknall:
Intelligent Tracking of Moving Ships in Constrained Maritime Environments Using AIS. Cybern. Syst. 50(6): 539-555 (2019) - [j4]Yuanchang Liu, Rui Song, Richard W. G. Bucknall, Xinyu Zhang:
Intelligent multi-task allocation and planning for multiple unmanned surface vehicles (USVs) using self-organising maps and fast marching method. Inf. Sci. 496: 180-197 (2019) - [j3]Xinyu Zhang, Chengbo Wang, Yuanchang Liu, Xiang Chen:
Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning. Sensors 19(18): 4055 (2019) - 2018
- [j2]Yuanchang Liu, Richard W. G. Bucknall:
Efficient multi-task allocation and path planning for unmanned surface vehicle in support of ocean operations. Neurocomputing 275: 1550-1566 (2018) - [j1]Yuanchang Liu, Richard W. G. Bucknall:
A survey of formation control and motion planning of multiple unmanned vehicles. Robotica 36(7): 1019-1047 (2018)
Coauthor Index
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