13 citations · 34 across the 10 of their papers we have counts for
10 papers
Parallel Self-assembly for a Multi-USV System on Water Surface with Obstacles
Lianxin Zhang, Yihan Huang, Zhongzhong Cao +2
Parallel self-assembly is an efficient approach to accelerate the assembly process for modular robots. However, these approaches cannot accommodate complicated environments with ob…
Design and Control of the "TransBoat": A Transformable Unmanned Surface Vehicle for Overwater Construction
Lianxin Zhang, Xiaoqiang Ji, Yang Jiao +2
This paper presents the TransBoat, a novel omnidirectional unmanned surface vehicle (USV) with a magnetbased docking system for overwater construction with wave disturbances. This…
A Manipulator-Assisted Multiple UAV Landing System for USV Subject to Disturbance
Ruoyu Xu, Chongfeng Liu, Zhongzhong Cao +2
Marine waves significantly disturb the unmanned surface vehicle (USV) motion. An unmanned aerial vehicle (UAV) can hardly land on a USV that undergoes irregular motion. An oversize…
A Novel Autonomous Robotics System for Aquaculture Environment Monitoring
Tianqi Zhang, Tong Shen, Kai Yuan +2
Implementing fully automatic unmanned surface vehicles (USVs) monitoring water quality is challenging since effectively collecting environmental data while keeping the platform sta…
Design and Control of A Hybrid Sailboat for Enhanced Tacking Maneuver
Ziran Zhang, Yiwei Lyu, Fahad Raza +1
Sailing robots provide a low-cost solution to conduct the ocean missions such as marine exploration, pollution detection, and border surveillance, etc. However, compared with other…
Energy Optimization of Automatic Hybrid Sailboat
Ziran Zhang, Zixuan Yao, Qinbo Sun +1
Autonomous Surface Vehicles (ASVs) provide an effective way to actualize applications such as environment monitoring, search and rescue, and scientific researches. However, the con…
The Newton Scheme for Deep Learning
Junqing Qiu, Guoren Zhong, Yihua Lu +3
We introduce a neural network (NN) strictly governed by Newton's Law, with the nature required basis functions derived from the fundamental classic mechanics. Then, by classifying…
Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation
Wenhao Ding, Shuaijun Li, Huihuan Qian
In this paper, we propose a navigation algorithm oriented to multi-agent environment. This algorithm is expressed as a hierarchical framework that contains a Hidden Markov Model (H…
Monocular Vision-based Vehicle Localization Aided by Fine-grained Classification
Shuaijun Li, Yu Meng, Wei Li +2
Monocular camera systems are prevailing in intelligent transportation systems, but by far they have rarely been used for dimensional purposes such as to accurately estimate the loc…
Vehicle Pose and Shape Estimation through Multiple Monocular Vision
Wenhao Ding, Shuaijun Li, Guilin Zhang +2
In this paper, we present an accurate approach to estimate vehicles' pose and shape from off-board multiview images. The images are taken by monocular cameras and have small overla…