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Haoyang Wang - IEEE Xplore Author Profile
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Haoyang Wang

Publications
4
Citations
10
Publications by Year
20202024
Co-Authors:
Show All Co-Authors (18)
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Haoyang Wang

Affiliation

Oklahoma State University
Stillwater
OK, USA

Publication Topics

Biography

Haoyang Wang received the B.S. degree from the Department of Electronic Engineering, Shanghai Jiao Tong University, China, in 2018. He is currently pursuing the Ph.D. degree with the Department of Electrical Engineering and Information System, The University of Tokyo, Japan. His current research interests include multidisciplinary applications of computer vision, the IoT, wearable devices, and sensors. His previous research interests include wireless and optical communications with machine learning.(Based on document published on 18 September 2020).
Publications
4
Citations
10
Publications by Year
20202024
Co-Authors:
Show All Co-Authors (18)
Author's Published Works

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Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach

Haoyang Wang;He Bai;Xiaoli Zhang;Yunsik Jung;Michel Bowman;Lingfeng Tao

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2024 | Conference Paper |
Dexterous telemanipulation is crucial in advancing human-robot systems, especially in tasks requiring precise and safe manipulation. However, it faces significant challenges due to the physical differences between human and robotic hands, the dynamic interaction with objects, and the indirect control and perception of the remote environment. Current approaches predominantly focus on mapping the hu...Show More

Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach

Haoyang Wang;He Bai;Xiaoli Zhang;Yunsik Jung;Michel Bowman;Lingfeng Tao

Year: 2024 | Conference Paper |

Design and implementation of self-balancing car based on Simulink

Qi Yang;Haoyang Wang;Peng Lu;Shengxue Wang;Mingxin Gu;Yan Yang

2024 3rd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC)
Year: 2024 | Conference Paper |
In this paper, the self-balancing control of a twowheeled bicycle will be realized by model-based design (MBD). The self-balancing principle is based on the flywheel inverted pendulum, and the tipping is prevented according to the torque generated by the acceleration and deceleration of the flywheel. The control principle is to install a momentum flywheel on the car. When the car topples in a cert...Show More

Design and implementation of self-balancing car based on Simulink

Qi Yang;Haoyang Wang;Peng Lu;Shengxue Wang;Mingxin Gu;Yan Yang

Year: 2024 | Conference Paper |

GUI Interface Design for Defect Recognition and Rating of X-ray Weld Images based on Image Preprocessing

Huihui Wen;Ying Li;Haoyang Wang;Yu Wang;Haolin Li

2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
Year: 2023 | Conference Paper |
Aiming at the current situation of manual visual inspection for X-ray weld defect detection and rating, an image preprocessing-based weld defect detection and automatic rating system is designed. The preprocessing stage introduces a bilateral filtering algorithm for the original image noise problem to reduce the impact of noise; the improved CLAHE algorithm is proposed for the phenomenon of low co...Show More

GUI Interface Design for Defect Recognition and Rating of X-ray Weld Images based on Image Preprocessing

Huihui Wen;Ying Li;Haoyang Wang;Yu Wang;Haolin Li

Year: 2023 | Conference Paper |

Automatic Recognition of Palaeobios Images Under Microscope Based on Machine Learning

Yuxuan Xu;Zongyang Dai;Juebo Wang;Yang Li;Haoyang Wang

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (10)
The research of paleontology is an essential part of contemporary earth science. However, the time-consuming manual identification process has always been cumbrous in the field of paleontology. Since conventional algorithms have limited efficiency in processing images of complicated paleontological fossils. In this work, a combinational machine learning method, which comprises appropriate image pr...Show More

Automatic Recognition of Palaeobios Images Under Microscope Based on Machine Learning

Yuxuan Xu;Zongyang Dai;Juebo Wang;Yang Li;Haoyang Wang

Year: 2020 | Volume: 8 | Journal Article |

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