Yuanchang Liu

Orcid: 0000-0001-9306-297X

According to our database1, Yuanchang Liu authored at least 23 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Stiffness modelling and analysis of soft fluidic-driven robots using Lie theory.
Int. J. Robotics Res., March, 2024

2023
Local Navigation Among Movable Obstacles with Deep Reinforcement Learning.
CoRR, 2023

Exploring the Technical Advances and Limits of Autonomous UAVs for Precise Agriculture in Constrained Environments.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
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., 2022

A Fully-autonomous Framework of Unmanned Surface Vehicles in Maritime Environments using Gaussian Process Motion Planning.
CoRR, 2022

2021
WODIS: Water Obstacle Detection Network Based on Image Segmentation for Autonomous Surface Vehicles in Maritime Environments.
IEEE Trans. Instrum. Meas., 2021

A Multi-Sensor Environmental Perception System for an Automatic Electric Shovel Platform.
Sensors, 2021

Navigating high-speed unmanned surface vehicles: System approach and validations.
J. Field Robotics, 2021

Unsupervised learning based coordinated multi-task allocation for unmanned surface vehicles.
Neurocomputing, 2021

Practical Moving Target Detection in Maritime Environments Using Fuzzy Multi-sensor Data Fusion.
Int. J. Fuzzy Syst., 2021

On Aerial Robots with Grasping and Perching Capabilities: A Comprehensive Review.
Frontiers Robotics AI, 2021

An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning.
CoRR, 2021

ShorelineNet: An Efficient Deep Learning Approach for Shoreline Semantic Segmentation for Unmanned Surface Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
A Quantitative Method for Acesulfame K Using the Taste Sensor.
Sensors, 2020

RBFNN based terminal sliding mode adaptive control for electric ground vehicles after tire blowout on expressway.
Appl. Soft Comput., 2020

Adaptive Localisation for Unmanned Surface Vehicles Using IMU-Interacting Multiple Model.
Proceedings of the International Conference on System Science and Engineering, 2020

2019
Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning.
Sensors, 2019

Intelligent multi-task allocation and planning for multiple unmanned surface vehicles (USVs) using self-organising maps and fast marching method.
Inf. Sci., 2019

Intelligent Tracking of Moving Ships in Constrained Maritime Environments Using AIS.
Cybern. Syst., 2019

Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning.
IEEE Access, 2019

A Robust Localization Method for Unmanned Surface Vehicle (USV) Navigation Using Fuzzy Adaptive Kalman Filtering.
IEEE Access, 2019

2018
A survey of formation control and motion planning of multiple unmanned vehicles.
Robotica, 2018

Efficient multi-task allocation and path planning for unmanned surface vehicle in support of ocean operations.
Neurocomputing, 2018


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