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Two-Stage Hand-Eye Calibration based on Variance Minimization Principle

IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Ding, Tao Tian, Dazhuang Wu, Hao Zhu, Dahu Li, Wenlog Wuhan University of Technology Hubei Key Laboratory of Advanced Technology for Automotive Components School of Automotive Engineering Wuhan430070 China Wuhan University of Technology Hubei Digital Manufacturing Key Laboratory School of Mechanical and Electronic Engineering Wuhan430070 China Wuhan University of Technology Hubei Key Laboratory of Advanced Technology for Automotive Components Hubei Provincial Engineering Research Center of Robot and Intelligent Manufacturing Wuhan430070 China Huazhong University of Science and Technology State Key Laboratory of Intelligent Manufacturing Equipment and Technology Wuhan430074 China

Hand-eye calibration in industrial scenarios greatly determines the efficiency and effectiveness of 3D vision-guided robotic tasks. Most of the existing hand-eye calibration methods, however, rely on collecting large-scale point cloud samples to guarantee high measurement accuracy, which is time-consuming and particularly influenced by measurement defects such as local missing, noise, and uneven density. To overcome this challenging problem, we present a novel two-stage hand-eye calibration method based on the variance minimization principle. In the first stage, a robust function weighted variance minimization (RFWVM) registration algorithm is proposed for fine registration of defective point clouds, aiming at solving the coarse hand-eye calibration matrix with few-shot point clouds. In the second stage, an objective function of the calibration error correction algorithm is established via the point-to-plane distance variance minimization, which is intended to suppress the influence of measurement defects. Through these two stages, the globally optimal hand-eye matrix is solved by iteratively correcting the coarse hand-eye calibration matrix. A series of experiments validate the universality, accuracy, and robustness of the proposed method. © 1963-2012 IEEE.

关键词： Error correction

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Research on Denoising Method Based on Iterative SVD Decomposition

Research on Denoising Method Based on Iterative SVD Decompos...

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2023 China Automation Congress, CAC 2023

作者： Chu, Dongting Liu, Bingyou Wan, Guoyang Qi, Jingjing Wan, Luanfei College of Electrical Engineering Anhui Polytechnic University Wuhu China Ministry of Education Anhui Polytechnic University The Key Lab. of Advanced Perception and Intelligent Control of High-end Equipment Wuhu China Wuhu Hit Robot Industrial Technology Research Institute Co. Ltd Wuhu China College of Electrical Engineering Wuhu Institute of Technology Wuhu China

ISBN: (纸本)9798350303759

In response to the poor denoising ability of Singular Value Decomposition (SVD), and the extracted motion waveform containing some residual noise signals, this paper proposes an iterative SVD decomposition denoising method. Firstly, the original signal is constructed into a binary recursive matrix form, and then SVD decomposition is used to obtain singular values with different contributions to the original matrix. Then, singular values with small contributions are discarded, while those with large contributions are retained. By modifying the signal reconstruction method, the denoised signal can be obtained once, and the required signal can be obtained by repeating the above process continuously. In simulation experiments and tuning fork vibration experiments, this article uses the iterative SVD decomposition denoising method and two existing denoising methods to denoise signals containing noise and uses signal-to-noise ratio (SNR) and root mean square error method (RMSE) as denoising performance indicators for data comparison, confirming the effectiveness and superiority of iterative SVD decomposition denoising method and its excellent denoising ability. In the tuning fork vibration experiment, the error between the measured results and the actual results is 0.3125%, proving that this denoising method has practical application value. © 2023 IEEE.

关键词： Singular value decomposition

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A Flow-Induced Vibration Energy Harvester Based on Bioinspired Shell Surface Bluff Body

SSRN

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SSRN 2025年

作者： Yuan, Yikai Wang, Hai Yang, Chunlai Li, Bao Zhu, Wenbo Gui, Jinsong School of Mechanical Engineering Anhui Polytechnic University Anhui Wuhu China Anhui Key Laboratory of Advanced Numerical Control & Servo Technology Anhui Wuhu China Anhui Ruilong Robot Technology Co. Ltd. China

The bluff body is integral to a flow-induced vibration (FIV) energy harvesting system, with its aerodynamic characteristics tunable via a biomimetic metasurface. This paper proposes a FIV energy harvester utilizing a bioinspired metasurface to enhance energy harvesting performance. The mathematical model of the proposed FIV energy harvester is developed. Lift and drag forces are determined through numerical simulation using COMSOL. Prototypes of the FIV energy harvester with bioinspired metasurfaces are fabricated and validated in a wind tunnel experimental system. Numerical and experimental results demonstrate that the performance of FIV energy harvesters can be either suppressed or enhanced by employing a bluff body with a bioinspired metasurface. The operation bandwidth of the FIV energy harvester with a straight striped metasurface bluff body increased by nearly 277% compared to the traditional smooth body, providing a practical method for harnessing wind energy across diverse natural environments and adapting effectively to fluctuating wind conditions. © 2025, The Authors. All rights reserved.

关键词： Drag

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Respiratory Rate Measurement Method Based on Singular Value Decomposition

Respiratory Rate Measurement Method Based on Singular Value ...

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2023 China Automation Congress, CAC 2023

作者： Chu, Dongting Liu, Bingyou Wan, Guoyang Qi, Jingjing Wan, Luanfei College of Electrical Engineering Anhui Polytechnic University Wuhu China Anhui Polytechnic University The Key Lab. of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Wuhu China Wuhu Hit Robot Industrial Technology Research Institute Co. Ltd Wuhu China College of Electrical Engineering Wuhu Institute of Technology Wuhu China

ISBN: (纸本)9798350303759

In order to enhance the measurement accuracy of respiratory rate, a respiratory rate measurement method based on high-speed vision is presented in this paper. Initially, a high-speed camera is utilized to capture the experimenter's chest breathing movement video sequence, and singular value decomposition (SVD) is applied to extract the displacement resulting from respiratory movement. However, the extracted motion waveform contains some noise signals due to the poor denoising capabilities of SVD. To address this issue, an improved wavelet denoising approach is proposed in this paper to enhance the accuracy of respiratory measurement frequency. Finally, the respiratory frequency measurement method based on high-speed vision is simulated and experimented, and the respiratory rate is calculated through spectral analysis. The experiments indicate that the proposed method can accurately extract the respiratory displacement signal and effectively denoise it, making it convenient for practical use. © 2023 IEEE.

关键词： High speed cameras

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Ripple Analysis and Reduction of a Dual-PM Direct-Drive Machine by a Harmonic Current Injection Approach 26

Ripple Analysis and Reduction of a Dual-PM Direct-Drive Mach...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Ma, Yue Niu, Shuangxia Fu, Weinong Fei, Jiaqi Huang, Jiahui The Hong Kong Polytechnic University Electrical and Electronics Engineering Hong Kong Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Computer Science and Control Engineering Shenzhen China Han's Robot Algorithm Team Han's Laser Smart Equipment Group Co Ltd Shenzhen China

ISBN: (纸本)9798350317589

The Dual permanent magnet machine (DPMM) possesses the characteristics of high torque and low speed which is suitable for direct-drive equipment. Because of the low magnetic reluctance of this motor, the torque is very sensitive to dimensional fluctuations. As a synchronous motor, it also suffers from noise and vibration caused by torque ripple. This research analyzes the torque ripple in several different scenarios under the same DPMM electromagnetic design and finds a predictable influence of mechanical tolerances on torque ripple. In order to reduce the torque ripples, this paper proposes a harmonic current injection (HCI) method. A DPMM with a split-tooth structure is simulated and tested in this paper to demonstrate the analysis of torque fluctuations and the effectiveness of HCI. © 2023 IEEE.

关键词： Torque

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Research on Contrast Calculation Method for Color Image 18th

Research on Contrast Calculation Method for Color Image

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18th Chinese Conference on Image and Graphics technology and Application Conference, IGTA 2023

作者： Qian, Jing Kong, Bin Yang, Jing Wang, Can Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei230031 China University of Science and Technology of China Hefei230026 China Peng Cheng Laboratory Shenzhen518053 China Anhui Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Hefei230031 China School of Artificial Intelligence and Big Data Hefei University Hefei230031 China

ISBN: (纸本)9789819975488

Contrast is one of the commonly used indicators for evaluating image quality and is related to color information. However, the traditional contrast calculation method only reflects the clarity of the image by counting the distribution probability of the gray difference between adjacent pixels in the region, which lacks consideration of the chrominance information. We propose a contrast calculation method considering the perceptual color difference in color images. First, we obtain each pixel’s hue and saturation information from the HSV color space. And the luminance information of each pixel is obtained while retaining the color contrast information of the original image. Then, the contrast of a color image is obtained by counting the number of adjacent pixels whose color difference exceeds the threshold and calculating the sum of color differences. Experiment results show that our method is less affected by the uniform color patches than other methods. It can effectively reflect the relationship between the contrast values of different images and reduce the information loss of color contrast. In addition, for different color images, the magnitude of the contrast value obtained by our method is consistent with the trend of human visual judgment. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image quality

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Study on Autonomous Surgical Control System of The Vascular Interventional Surgical robot Based on Catheter Tip Location Tracking

Study on Autonomous Surgical Control System of The Vascular ...

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IEEE International Conference on Mechatronics and Automation

作者： Zhimin Feng Jian Guo Shuxiang Guo Qiang Fu Tianjin Key Laboratory for Control Theory & Applications In Complicated Systems and Intelligent Robot Laboratory Tianjin University of Technology Binshui Xidao Extension 391 Tianjin China Shenzhen Institute of Advanced Biomedical Robot Co. Ltd. No.12 Ganli Sixth Road Jihua Street Longgang District Shenzhen China Key Laboratory of Convergence Medical Engineering System and Healthcare Technology The Ministry of Industry and Information Technology School of Life Science Beijing Institute of Technology No.5Zhongguancun South Street Beijing China

The control system of vascular interventional surgical robot is a complex nonlinear system. When the catheter is inserted into human blood vessels, due to the irregular and curved shape of human blood vessels, the catheter will undergo small deformation, which will affect the displacement of the catheter. In order to reduce the displacement tracking error, a BP neural network PID controller was designed to compensate the displacement error of the autonomous vascular interventional surgical robot. Firstly, the dynamic analysis is carried out according to the axial displacement motion of the vascular interventional surgical robot, and the catheter displacement tracking controller was designed. According to the displacement error, BP neural network PID control is used to output three parameters of PID. Finally, in the experiment and PID control simulation comparison, the results show that the BP neural network PID control has a small displacement tracking error and superior tracking performance, which can meet the requirements.

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Study on a Two-layer Path Planning Method of Spherical Multi-robot

Study on a Two-layer Path Planning Method of Spherical Multi...

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IEEE International Conference on Mechatronics and Automation

作者： Chenqi Li Jian Guo Shuxiang Guo Qiang Fu Tianjin Key Laboratory for Control Theory & Applications In Complicated systems and Intelligent Robot Laboratory Tianjin University of Technology BinshuiXidao Extension 391 Tianjin China Shenzhen Institute of Advanced Biomedical Robot Co. Ltd. No.12 Ganli Sixth Road Jihua Street Longgang District Shenzhen China Key Laboratory of Convergence Medical Engineering Systems and Healthcare Technology The Ministry of Industry and Information Technology School of Life Science Beijing Institute of Technology No.5 Zhongguancun South Street Beijing China

A path planning method based on a two-layer coordination system is proposed for the compatibility requirement of path planning global optimum and local coordination in a spherical multi-robot system. In the first layer of the algorithm, the global path quality is improved by proposing a nonlinear sine factor and a sparrow search algorithm with improved levy flight strategy to plan the global collision-free optimal path for each robot. In the second layer, a rolling window method is used to determine the possible collision positions of each robot in the system, and a priority-based conflict resolution strategy is proposed to complete the local coordination of the path near the corresponding position. The experimental results show that the path planning method enables the robots to drive along the global optimal path, but still can carry out flexible and orderly local path coordination, which effectively improves the path planning performance of the system.

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Study on 6D Pose Estimation System of Occlusion Targets for the Spherical Amphibious robot based on Neural Network

Study on 6D Pose Estimation System of Occlusion Targets for ...

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IEEE International Conference on Mechatronics and Automation

作者： Chaofeng Du Jian Guo Shuxiang Guo Qiang Fu Tianjin Key Laboratory for Control Theory & Applications in Complicated systems and Intelligent Robot Laboratory Tianjin University of Technology BinshuiXidao Extension 391 Tianjin China Shenzhen Institute of Advanced Biomedical Robot Co. Ltd. No.12 Ganli Sixth Road Jihua Street Longgang District Shenzhen China Key Laboratory of Convergence Medical Engineering System and Healthcare Technology The Ministry of Industry and Information Technology School of Life Science Beijing Institute of Technology No.5 Zhongguancun South Street Beijing China

The amphibious robot needs to accurately estimate the 6D pose of the target in tasks such as target tracking, docking with the recovery module, and target grasping. The current research on target 6D pose estimation is mainly applied to unoccluded targets, but when the target is occluded, the target’s pose cannot be accurately identified. Compared with other algorithms, the PVNet algorithm shows better robustness when target is occluded, but the accuracy is still low. To improve the accuracy of the PVNet algorithm, this paper adds the confidence score prediction of the prediction vector at the last layer of the PVNet network, and designs a vector confidence score loss function to train the network. Before generating the hypothetical keypoints, the pixels whose confidence score is lower than the set threshold are screened out, so that the generated hypothetical 2D keypoints are closer to the true 2D keypoints. Finally, the method in this paper is compared with the Tekin, PoseCNN, Oberweger and Pvnet algorithm, and demonstrate the superiority of the proposed method.

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Design of Control System for Lower Limb Rehabilitation robot on the Healthy Side sEMG Signal

Design of Control System for Lower Limb Rehabilitation Robot...

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IEEE International Conference on Mechatronics and Automation

作者： Shiqin Yu Jian Guo Shuxiang Guo Qiang Fu Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems and Intelligent Robot Laboratory Tianjin University of Technology Binshui Xidao Extension 391 Tianjin China Shenzhen Institute of Advanced Biomedical Robot Co. Ltd. No.12 Ganli Sixth Road Jihua Street Longgang District Shenzhen China Key Laboratory of Convergence Medical Engineering System and Healthcare Technology The Ministry of Industry and Information Technology School of Life Science Beijing Institute of Technology No.5 Zhongguancun South Street Beijing China

With the number of stroke patients increasing year by year, rehabilitation exoskeleton robot has been paid more and more attention. For the rehabilitation exoskeleton robot, human-computer interaction ability is an important index, which affects the effect of rehabilitation therapy to a great extent. Surface Electromyography (sEMG) signals are the combined effect of sEMG signals and electrical activities on nerve stem on the skin surface, which can reflect neuromuscular activities in advance and can be used to predict movement intention by sEMG signals. Therefore, this article proposes to use sEMG signals to monitor the motion information of the healthy leg in real-time, extract the characteristics of the electromyography signals, use the sEMG of the healthy leg as the control signal, reflect the motion patterns reflected by the sEMG collected from the healthy side, and then use the motion intention recognition method of Long Short Term Memory(LSTM) neural network to identify the motion intention of the prosthetic limb by identifying the motion patterns of the swing phase of the healthy side. The results indicate that the predicted maximum Root Mean Squared Error(RMSE) is 5.3729, which proves the feasibility of using LSTM model for motion intention recognition and contributes to the real-time and accuracy of lower limb exoskeleton rehabilitation.

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