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Your search keyword '"Tang, Chaoquan"' showing total 92 results
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92 results on '"Tang, Chaoquan"'

2. Tracking system of Mine Patrol Robot for Low Illumination Environment

Author

You, Shaoze, Zhu, Hua, Li, Menggang, Wang, Lei, and Tang, Chaoquan

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Computer vision has received a significant attention in recent years, which is one of the important parts for robots to apperceive external environment. Discriminative Correlation Filter (DCF) based trackers gained more popularity due to their efficiency, however, tracking in low-illumination environments is a challenging problem, not yet successfully addressed in the literature. In this work, we tackle the problems by introducing Low-Illumination Long-term Correlation Tracker (LLCT). First, fused features only including HOG and Color Names are employed to boost the tracking efficiency. Second, we used the standard PCA to reduction scheme in the translation and scale estimation phase for accelerating. Third, we learned a long-term correlation filter to keep the long-term memory ability. Finally, update memory templates with interval updates, then re-match existing and initial templates every few frames to maintain template accuracy. The extensive experiments on popular Object Tracking Benchmark OTB-50 datasets have demonstrated that the proposed tracker outperforms the state-of-the-art trackers significantly achieves a high real-time (33FPS) performance. In addition, the proposed approach can be integrated easily in robot system and the running speed performed well. The experimental results show that the novel tracker performance in low-illumination environment is better than that of general trackers., Comment: 13 pages, 7 figures, 1 table, 27 conference

Published
2019

3. Coal Mine Rescue Robots: Development, Applications and Lessons Learned

Author

Li, Menggang, Zhu, Hua, Tang, Chaoquan, You, Shaoze, Li, Yutan, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Wu, Meiping, editor, Niu, Yifeng, editor, Gu, Mancang, editor, and Cheng, Jin, editor

Published
2022
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8. Long-Term Real-Time Correlation Filter Tracker for Mobile Robot

Author

You, Shaoze, Zhu, Hua, Li, Menggang, Wang, Lei, Tang, Chaoquan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yu, Haibin, editor, Liu, Jinguo, editor, Liu, Lianqing, editor, Ju, Zhaojie, editor, Liu, Yuwang, editor, and Zhou, Dalin, editor

Published
2019
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23. An Inspection Robot-Based Health Monitoring Method for Monorail Crane Tracks in Underground Coal Mines

Author

Tang, Chaoquan, Zhou, Ping, Chen, Zining, Zhang, Yang, Tang, Hongwei, Li, Menggang, and Zhou, Gongbo

Abstract

Monorail crane track plays an important role in the auxiliary transportation system of coal mines. However, the current track defects mainly rely on manual inspection. It is difficult to carry out continuous and systematic global monitoring of the track. Therefore, this article proposes the health monitoring method for underground monorail crane tracks in coal mines based on an inspection robot, according to the health monitoring needs of monorail crane track conditions. First, we designed a track-dependent inspection robot with a modular and separable structure. Then, for the common health state problems of monorail crane tracks, we proposed a track misalignment detection method based on ultrasonic ranging and a track corner detection method based on machine vision, and investigated a defect localization method based on radio frequency identification (RFID). Finally, we carried out an experimental verification of the inspection robot system. The results show that the inspection robot can smoothly pass through ramps, turnouts, and curves with a maximum angle of 20°, the accuracy of misalignment detection is about 82%, the relative error of the track bending angle detection method is less than 20%, and the accuracy of defective track localization reaches more than 98%. The developed inspection robot system can complete the inspection and monitoring tasks of the monorail crane track condition, and provide a reliable means for the healthy operation and maintenance of the monorail crane track in the coal mine.

Published
2024
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33. Design and Magnetic Force Analysis of Patrol Robot for Deep Shaft Rigid Cage Guide

Author

Gao Qiao, Zhou Gongbo, Shu Xin, Tang Chaoquan, and Tang Hongwei

Subjects
0209 industrial biotechnology, business.industry, Computer science, 020208 electrical & electronic engineering, Work (physics), Coal mining, Mode (statistics), Mechanical engineering, 02 engineering and technology, Static analysis, Fault (power engineering), Fault detection and isolation, Magnetic field, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, Robot, business
Abstract

Rigid cage guide is an important part of coal mine hoisting system, and its fault detection is an indispensable work of mine daily maintenance. In this paper, a patrol robot for detecting the fault of rigid cage guide in coal mine hoisting system is proposed, which will change the low efficiency of manpower maintenance during the maintenance of the hoisting system. Firstly, the three-dimensional model of the robot is built and the static analysis of the robot is carried out. In addition, the influence of the design parameters of the magnetic wheel on the magnetic force of the magnetic wheel is studied, and the magnetic wheel is optimized accordingly. Also, to obtain greater magnetic force under the same mass, it is proposed that the two magnetic wheels on the same axis should be arranged in a mutually exclusive mode. Compared with the mutually attracting arrangement, the former has a maximum magnetic force of 1.73 times that of the latter while the cost of magnetic wheel arrangement proposed in this paper is only one third of that of Halbach arrangement. Finally, a prototype of the robot is made and tested. The robot can detect potential faults and defects in the ultra-deep vertical shaft hoisting system as early as possible, and realize real-time monitoring of wellbore health status.

Published
2019
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42. Design of a sanding robot for wooden painted decoration box

Author

Congyi Lyu, Xu Enzhi, Yun-Hui Liu, Yunjiang Lou, David Navarro-Alarcon, Yang Zhou, Peng Li, Tang Chaoquan, Xin Jiang, Haigong Gai, and Chusheng Liu

Subjects
Production line, 0209 industrial biotechnology, business.industry, Computer science, 020208 electrical & electronic engineering, Mechanical engineering, Wooden box, Robotics, 02 engineering and technology, 020901 industrial engineering & automation, Robotic systems, 0202 electrical engineering, electronic engineering, information engineering, Sand-paper, Robot, Artificial intelligence, business, Robotic arm, Working environment
Abstract

This paper aims to develop a robotic system which can sanding and smoothing the painted surface of the wooden made box for decoration industry. The system conisists of a robotic arm for grasping and manipulating the wooden box and a sanding station that drive the sand paper belt for sanding the paint layer. We also design a grasper, of which the fingers can simultaneously do expansion and contraction to facilitate the manipulation. Furthermore, the sanding station can use different sanding papers to construct a sanding production line to fulfill more complex sanding procedures. This robot can not only reduce the human power, but also save workers from the dusty and harmful working environment. Preliminary experiment shows the feasibility of this solution.

Published
2017
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