Loading [MathJax]/extensions/MathMenu.js

Yubo Dou - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Access provided by:

MIT Libraries

Access provided by:

MIT Libraries

ADVANCED SEARCH

Author details

Yubo Dou

Publications

2

Citations

0

Publications by Year

20242025

Co-Authors:

Jinlong ChenXiaoyan FanDi FengShaofei JiangLiting Jing

Show All Co-Authors (10)

Yubo Dou

Affiliation

College of Mechanical Engineering

Zhejiang University of Technology

Hangzhou, China

Publication Topics

Air Concentration,
Air Humidity,
Artificial Neural Network,
Auxiliary Verbs,
Average Humidity,
Changes In Humidity,
Chilled Water,
Chinese Patent,
Convolutional Neural Network,
Convolutional Neural Network Model,
Desiccant System,
Efficient System

Biography

Yubo Dou received the Ph.D. degree in mechanical engineering from Zhejiang University of Technology, in 2024. He joined the Power Engineering and Engineering Thermophysics Mobile Station, Zhejiang University of Technology as a Postdoctoral Fellow, in 2024. His research interests include intelligent design, design concept graph, and conceptual scheme decision-making.(Based on document published on 13 February 2025).

Publications

2

Citations

0

Publications by Year

20242025

Co-Authors:

Jinlong Chen
Xiaoyan Fan
Di Feng
Shaofei Jiang
Liting Jing

Show All Co-Authors (10)

Author's Published Works

Search History

Showing 1-12 of 12 results

Conferences (8)

Journals (4)

Sort

Filter Results

Show

Subscribed Content

Open Access Only

Range
Single Year
Shengquan Li(12)
Haibo Lu(5)
Hua Zhu(4)
Aidong Zhang(3)
Mingcheng Luo(2)
Peng Cheng Laboratory, Shenzhen, China(5)
Robotics Research Center, Peng Cheng Lab, Shenzhen, China(2)
Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China(2)
Department of Automation and BNRist, Tsinghua University, Beijing, China(2)
College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin, China(2)
Global Oceans 2020: Singapore – U.S. Gulf Coast(2)
2021 IEEE International Conference on Robotics and Automation (ICRA)(1)
2022 IEEE International Conference on Unmanned Systems (ICUS)(1)
2023 42nd Chinese Control Conference (CCC)(1)
2023 IEEE International Conference on Unmanned Systems (ICUS)(1)
IEEE(12)
Media(3)
Biloxi, MS, USA(2)
Abu Dhabi, United Arab Emirates(1)
Chennai, India(1)
Guangzhou, China(1)
Hefei, China(1)
Autonomous Underwater Vehicles(6)
Unmanned Underwater Vehicles(4)
Control Strategy(3)
Simulation Results(3)
Undersea(3)

Select All on Page

Sort By

Results

UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images

Zeyu Chen;Jingyi Tang;Gu Wang;Shengquan Li;Xinghui Li;Xiangyang Ji;Xiu Li

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Year: 2024 | Conference Paper |

HTML

Due to the unique characteristics of underwater environments, accurate 3D reconstruction of underwater objects poses a challenging problem in tasks such as underwater exploration and mapping. Traditional methods that rely on multiple sensor data for 3D reconstruction are time-consuming and face challenges in data acquisition in underwater scenarios. We propose UW-SDF, a framework for reconstructin...Show More

UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images

Zeyu Chen;Jingyi Tang;Gu Wang;Shengquan Li;Xinghui Li;Xiangyang Ji;Xiu Li

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Year: 2024 | Conference Paper |

ROV6D: 6D Pose Estimation Benchmark Dataset for Underwater Remotely Operated Vehicles

Jingyi Tang;Zeyu Chen;Bowen Fu;Wenjie Lu;Shengquan Li;Xiu Li;Xiangyang Ji

IEEE Robotics and Automation Letters

Year: 2024 | Volume: 9, Issue: 1 | Journal Article |

Cited by: Papers (4)

HTML

Accurately localization between multi-robots is crucial for many underwater applications, such as tracking, convoying and subsea intervention tasks. 6D pose estimation is a fundamental task that enables precise object localization in 3D space with full six degrees of freedom. However, one critical challenge is the lack of available large-scale datasets due to the unbearable cost of labelled data c...Show More

ROV6D: 6D Pose Estimation Benchmark Dataset for Underwater Remotely Operated Vehicles

Jingyi Tang;Zeyu Chen;Bowen Fu;Wenjie Lu;Shengquan Li;Xiu Li;Xiangyang Ji

IEEE Robotics and Automation Letters

Year: 2024 | Volume: 9, Issue: 1 | Journal Article |

Experimental Analysis of Multi-Robot Network Resilience Strategy Using Control Barrier Functions

Hua Zhu;Yanpo Guo;Yumei Zhang;Zhe He;Shengquan Li;Haibo Lu

2023 IEEE International Conference on Unmanned Systems (ICUS)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

HTML

Resilience is an important property for multiple robots to achieve coordination in the presence of communication and environmental interference. With the existence of Byzantine robots such as malfunctioning or malicious robots disrupting the coordination strategy, multi-robot network resilience depends on the designed control strategy in an unstructured environment with obstacles. In this paper mu...Show More

Experimental Analysis of Multi-Robot Network Resilience Strategy Using Control Barrier Functions

Hua Zhu;Yanpo Guo;Yumei Zhang;Zhe He;Shengquan Li;Haibo Lu

2023 IEEE International Conference on Unmanned Systems (ICUS)

Year: 2023 | Conference Paper |

Adaptive Robust Control of the UAV-USV Heterogeneous System with Unknown Fractional-Order Dynamics under Multiple Disturbances

Zixuan Liu;Dongyue Huang;Shengquan Li;Weidong Zhang;Haibo Lu

2023 42nd Chinese Control Conference (CCC)

Year: 2023 | Conference Paper |

Cited by: Papers (3)

HTML

This paper addresses the robust formation tracking problem for a heterogeneous multi-robot system consisting of unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs). When performing complex marine missions involved with the oil spills, such as oil spill cleanup tasks or marine search and rescue tasks, the USV in the marine multi-robot system will become a fractional-order system wi...Show More

Adaptive Robust Control of the UAV-USV Heterogeneous System with Unknown Fractional-Order Dynamics under Multiple Disturbances

Zixuan Liu;Dongyue Huang;Shengquan Li;Weidong Zhang;Haibo Lu

2023 42nd Chinese Control Conference (CCC)

Year: 2023 | Conference Paper |

Adaptive Formation Switching Control of Multi-AUVs for Target Tracking with State Estimation

Hua Zhu;Xinyu Ye;Haibo Lu;Yongqi Li;Zhe He;Shengquan Li

2022 IEEE International Conference on Unmanned Systems (ICUS)

Year: 2022 | Conference Paper |

Cited by: Papers (2)

HTML

This paper aims to study dynamic behavior of multiple autonomous underwater vehicles (AUVs) in formation for target tracking. During the tracking task using a team of AUVs, some of the trackers may suffer a sudden system failure due to the communication or power issues in the complex and harsh underwater environment. Therefore, an adaptive formation switching method based on model predictive contr...Show More

Adaptive Formation Switching Control of Multi-AUVs for Target Tracking with State Estimation

Hua Zhu;Xinyu Ye;Haibo Lu;Yongqi Li;Zhe He;Shengquan Li

2022 IEEE International Conference on Unmanned Systems (ICUS)

Year: 2022 | Conference Paper |

Wideband Blind Calibration for UCA OAM Communication System

Yi Zhang;Xiaoyu Sun;Jiaqiong Zhou;Feng Chen;Shengquan Li

IEEE Communications Letters

Year: 2022 | Volume: 26, Issue: 11 | Journal Article |

HTML

This letter presents a wideband blind calibration method for uniform circular array (UCA) orbital angular momentum (OAM) systems without the prior knowledge of the positions and attitudes of the transmit and receive UCAs. The basic idea is to rewrite the maximum-likelihood estimation (MLE) for all parameters as an optimization problem over a Lie group which can represent the positions and attitude...Show More

Wideband Blind Calibration for UCA OAM Communication System

Yi Zhang;Xiaoyu Sun;Jiaqiong Zhou;Feng Chen;Shengquan Li

IEEE Communications Letters

Year: 2022 | Volume: 26, Issue: 11 | Journal Article |

Measurement and Extraction of Micro-Doppler Feature of Underwater Rotating Target Echo

Yongqing Wu;Mingcheng Luo;Shengquan Li

OCEANS 2022 - Chennai

Year: 2022 | Conference Paper |

Cited by: Papers (1)

HTML

Underwater vehicles detection and identification is an important part of maritime security surveillance. In the sonar community, there are few studies using micro-Doppler features to detect and classify various motions of underwater targets. Regrettably, the theoretical derivation and simulating analysis could only be given to verify that the micro-Doppler characteristic signal could be existed. I...Show More

Measurement and Extraction of Micro-Doppler Feature of Underwater Rotating Target Echo

Yongqing Wu;Mingcheng Luo;Shengquan Li

OCEANS 2022 - Chennai

Year: 2022 | Conference Paper |

Design of a deployable underwater robot for the recovery of autonomous underwater vehicles based on origami technique

Jisen Li;Yuliang Yang;Yumei Zhang;Hua Zhu;Yongqi Li;Qiujun Huang;Haibo Lu;Shan He;Shengquan Li;Wei Zhang;Tao Mei;Feng Wu;Aidong Zhang

2021 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2021 | Conference Paper |

HTML

The recovery of autonomous underwater vehicles (AUVs) has been a challenging mission due to the limited localization accuracy and movement capability of the AUVs. To overcome these limitations, we propose a novel design of a deployable underwater robot (DUR) for the recovery mission. Utilizing the origami structure, the DUR can transform between open and closed states to maximize the performance a...Show More

Design of a deployable underwater robot for the recovery of autonomous underwater vehicles based on origami technique

Jisen Li;Yuliang Yang;Yumei Zhang;Hua Zhu;Yongqi Li;Qiujun Huang;Haibo Lu;Shan He;Shengquan Li;Wei Zhang;Tao Mei;Feng Wu;Aidong Zhang

2021 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2021 | Conference Paper |

Online 3-D Modeling of Complex Workpieces for the Robotic Spray Painting With Low-Cost RGB-D Cameras

Junhui Ge;Jiexuan Li;Yiping Peng;Haibo Lu;Shengquan Li;Hui Zhang;Changyan Xiao;Yaonan Wang

IEEE Transactions on Instrumentation and Measurement

Year: 2021 | Volume: 70 | Journal Article |

Cited by: Papers (9)

HTML

The 3-D model of workpieces plays a significant role in robotic spray painting, which needs the geometry and shape information for painting-path planning or pose estimation. However, the models are rarely provided beforehand, even if they are available, random pose changes during workpiece conveying on the spray-painting pipeline also necessitates the usage of real-time 3-D reconstruction. In this...Show More

Online 3-D Modeling of Complex Workpieces for the Robotic Spray Painting With Low-Cost RGB-D Cameras

Junhui Ge;Jiexuan Li;Yiping Peng;Haibo Lu;Shengquan Li;Hui Zhang;Changyan Xiao;Yaonan Wang

IEEE Transactions on Instrumentation and Measurement

Year: 2021 | Volume: 70 | Journal Article |

Mutual Information Re-Registration of Sensitive Region in Forward-Looking Sonar Images Combined With Particle Swarm Optimization Algorithm

Mingzhe Wei;Hongyu Bian;Shengquan Li;Feng Zhang

Year: 2021 | Volume: 9 | Journal Article |

Cited by: Papers (2)

HTML

In order to meet the needs of complex seafloor scenes target detection, an image registration method based on sensitive region is proposed which considering the fuzzy boundary, poor contrast and low overall gray value of forward-looking sonar image. In this method, gradient enhancement algorithm is used to enhance the boundary of the target region in forward-looking sonar(FLS) image, and morpholog...Show More

Mutual Information Re-Registration of Sensitive Region in Forward-Looking Sonar Images Combined With Particle Swarm Optimization Algorithm

Mingzhe Wei;Hongyu Bian;Shengquan Li;Feng Zhang

Year: 2021 | Volume: 9 | Journal Article |

Underwater acoustic positioning using orbital angular momentum vortex beams

Xiaoyu Sun;Zhengkun Cheng;Mingcheng Luo;Shengquan Li;Aidong Zhang

Global Oceans 2020: Singapore – U.S. Gulf Coast

Year: 2020 | Conference Paper |

HTML

Underwater acoustic positioning has been commonly used in a wide variety of underwater work, including deep underwater construction, oil and gas extraction, ocean sciences and underwater robot navigation. To date, various methods have been developed to achieve accurate underwater coordinate localization, such as ultrashort baseline (USBL), short baseline (SBL) and long baseline (LBL) acoustic posi...Show More

Underwater acoustic positioning using orbital angular momentum vortex beams

Xiaoyu Sun;Zhengkun Cheng;Mingcheng Luo;Shengquan Li;Aidong Zhang

Global Oceans 2020: Singapore – U.S. Gulf Coast

Year: 2020 | Conference Paper |

Design and optimization of the thruster configuration of a transformable underwater vehicle

Jisen Li;Hua Zhu;Caiming Sun;Jiaming Zhang;Shengquan Li;Aidong Zhang

Global Oceans 2020: Singapore – U.S. Gulf Coast

Year: 2020 | Conference Paper |

HTML

To explore the complex underwater world, autonomous underwater vehicles (AUVs) are extensively used, whose recovery has been a challenging issue. To achieve high-efficiency AUV recovery, we propose a novel transformable underwater vehicle (TUV) which can maintain a closed state for low-resistance approaching and transform into an opening state for recovery to increase the possibility of success. T...Show More

Design and optimization of the thruster configuration of a transformable underwater vehicle

Jisen Li;Hua Zhu;Caiming Sun;Jiaming Zhang;Shengquan Li;Aidong Zhang

Global Oceans 2020: Singapore – U.S. Gulf Coast

Year: 2020 | Conference Paper |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.