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Augmented Reality Based Navigation system for Endoscopic Transnasal Optic Canal Decompression

Journal of Shanghai Jiaotong university(Science) 2025年第1期30卷 34-42页

作者： FU Hang XU Jiangchang LI Yinwei ZHOU Huifang CHEN Xiaojun Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory System and VibrationSchool of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Ophthalmology Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghai 200011China Institute of Medical Robotics Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology Shanghai 200011China

Endoscopic transnasal optic nerve decompression surgery plays a crucial role in minimal invasive treatment of complex traumatic optic ***,a major challenge faced during the procedure is the inability to visualize the optic nerve *** address this issue,an endoscopic image-based augmented reality surgical navigation system is developed in this *** system aims to virtually fuse the optic nerve onto the endoscopic images,assisting surgeons in determining the optic nerve’s position and reducing surgical ***,a calibration algorithm based on a checkerboard grid of immobile points is proposed,building upon existing calibration ***,to tackle accuracy issues associated with augmented reality technology,an optical navigation and visual fusion compensation algorithm is proposed to improve the intraoperative tracking *** evaluate the system’s performance,model experiments were meticulously designed and *** results confirm the accuracy and stability of the proposed system,with an average tracking error of(0.99±0.46)*** outcome demonstrates the effectiveness of the proposed algorithm in improving the augmented reality surgical navigation system’s ***,the system successfully displays hidden optic nerves and other deep tissues,thus showcasing the promising potential for future applications in orbital and maxillofacial surgery.

关键词： optic nerve decompression endoscopy augmented reality surgical navigation

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Active vibration control of the cantilever beam using a manipulator

Active vibration control of the cantilever beam using a mani...

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2021 IEEE International Conference on Real-Time Computing and robotics, RCAR 2021

作者： Jie, Pengyu Chen, Guangzeng Li, Ke Meng, Yuhao Ran, Jiangtao Lou, Yunjiang State Key Laboratory of Robotics and System Shenzhen518055 China

ISBN: (纸本)9781665436786

Vibration causes frequent deformations of the cantilever beams, which can easily destroy the beam structure if without protection. Active vibration control with feedback information of the cantilever is widely studied in previous works to suppress the vibrations of small deformations. But it is not applicable to the cantilever with large deformation and no feedbacks. Besides, they all require the cantilever to be observable but do nothing about unobservable cantilevers. In this paper, the vibration of a cantilever with large deformations is suppressed by using a 3-DOF manipulator. The structural dynamic model of the cantilever is established to estimate the deformation without external sensors installed on the cantilever. Based on the dynamic model, the vibration control strategy is proposed. Experiments on a developed cantilever and manipulator are conducted and validate the effectiveness of the proposed methods. The results show that the vibration bending moment of the cantilever beam can be effectively suppressed, thus the service life of the equipment can be effectively prolonged by active vibration control of the cantilever beam. © 2021 IEEE.

关键词： Cantilever beams

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Bio-robotics research for non-invasive myoelectric neural interfaces for upper-limb prosthetic control:a 10-year perspective review

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国家科学评论（英文版） 2023年第5期10卷 32-52页

作者： Ning Jiang Chen Chen Jiayuan He Jianjun Meng Lizhi Pan Shiyong Su Xiangyang Zhu National Clinical Research Center for Geriatrics West China Hospitaland Med-X Center for ManufacturingSichuan UniversityChengdu 610041China State Key Laboratory of Mechanical System and Vibration and Institute of RoboticsShanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education School of Mechanical EngineeringTianjin UniversityTianjin 300350China Institute of Neuroscience Université Catholique LouvainBrussel B-1348Belgium

A decade ago,a group of researchers from academia and industry identified a dichotomy between the industrial and academic state-of-the-art in upper-limb prosthesis control,a widely used bio-robotics *** proposed that four key technical challenges,if addressed,could bridge this gap and translate academic research into clinically and commercially viable *** challenges are unintuitive control schemes,lack of sensory feedback,poor robustness and single sensor ***,we provide a perspective review on the research effort that occurred in the last decade,aiming at addressing these *** addition,we discuss three research areas essential to the recent development in upper-limb prosthetic control research but were not envisioned in the review 10 years ago:deep learning methods,surface electromyogram decomposition and open-source *** conclude the review,we provide an outlook into the near future of the research and development in upper-limb prosthetic control and beyond.

关键词： electromyography prosthetic control sensory feedback EMG decomposition robustness deep learning

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Health Monitoring of Pressure Transmitter Sensing Line Based on Convolutional Neural Network 12

Health Monitoring of Pressure Transmitter Sensing Line Based...

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12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2022

作者： He, Tianfang Xu, Aidong Wang, Kai Zeng, Peng Laboratory of Industrial Control Network and System State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences China University of Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China Industrial Control Network and System State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9781839538360

Blockages of pressure transmitter sensing line are a recurring problem in nuclear plants. The traditional solution is to purge them with nitrogen periodically, which is time consuming and radiation intensive. It is thus desirable to monitor the status of sensing lines on-site. The noise analysis method is a promising method for sensing line health monitoring. However, the existing noise analysis methods, which evaluate the sensing line status by analyzing time domain or frequency domain features of process noise signal, are susceptible to working conditions of pressure transmitters. Further, blockage degree of the sensing line can not be determined by existing methods. Therefore, this paper proposes a machine learning based noise analysis method for health monitoring of pressure transmitter sensing line, in which 1-D Convolutional Neural Network (CNN) is used to extract features from process noise signals. Experimental results show that the proposed method achieved satisfactory results in diagnosis accuracy, false alarm rate and robustness of the model under different working conditions. Further, blockage degree of sensing line can also be evaluated. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Frequency domain analysis

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Design and manufacturing of micro/nanorobots

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International Journal of Extreme Manufacturing 2024年第6期6卷 169-202页

作者： Junmin Liu Rencheng Zhuang Dekai Zhou Xiaocong Chang Longqiu Li State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbinPeople's Republic of China Key Laboratory of Micro-systems and Micro-structures Manufacturing HarbinPeople's Republic of China Zhengzhou Research Institute of Harbin Institute of Technology ZhengzhouPeople's Republic of China

Micro/nanorobots(MNRs)capable of performing tasks at the micro-and nanoscale hold great promise for applications in cutting-edge fields such as biomedical engineering,environmental engineering,and *** cope with the intricate and dynamic environments encountered in practical applications,the development of high performance MNRs is *** have evolved from single-material,single-function,and simple structure to multi-material,multi-function,and complex ***,the design and manufacturing of high performance MNRs with complex multi-material three-dimensional structures at the micro-and nanoscale pose significant challenges that cannot be addressed by conventional serial design strategies and single-process manufacturing *** material-interface-structure-function/performance coupled design methods and the additive/formative/subtractive composite manufacturing methods offer the opportunity to design and manufacture MNRs with multimaterials and complex structures under multi-factor coupling,thus paving the way for the development of high performance *** this paper,we take the three core capabilities of MNRs—mobility,controllability,and load capability—as the focal point,emphasizing the coupled design methods oriented towards their function/performance and the composite manufacturing methods for their functional *** limitations of current investigation are also discussed,and our envisioned future directions for design and manufacture of MNRs are *** hope that this review will provide a framework template for the design and manufacture of high performance MNRs,serving as a roadmap for researchers interested in this area.

关键词： micro/nanorobots functional structure design manufacturing

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Development of a high-performance bend-actuated piezoelectric tip/tilt stage with low power and simple operation

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Science China Technological Sciences 2025年第6期 234-245页

作者： Jinghan GUAN Shijing ZHANG Jie DENG Weishan CHEN Junkao LIU Yingxiang LIU State Key Laboratory of Robotics and System Harbin Institute of Technology

Piezoelectric tip/tilt stages(PZT stages), which precisely and quickly control laser beam deflection, are widely used in laser communications. Most are driven by piezoelectric stack actuators(PSAs) and have high capacitance and power consumption. The negative voltage causes irreversible damage to PSAs. Therefore, negative voltage operation needs to be prohibited, which complicates manipulating the bidirectional deflection of the mirror. However, the aerospace field places higher requirements on power consumption and ease of operation, which makes the PZT stage require reduced power consumption and simple operation. This paper presents a high-performance bend-actuated PZT stage, which uses ceramic plates for driving, with a capacitance of only 26.4 nF/axis and a power of only 27 mW(at operating conditions of 1 mrad and 100 Hz).The sandwich structure allows for bi-directional voltage, which makes the operation easier. Two channels control two degrees of freedom(DOFs). A theoretical model suitable for bend-actuated structures is proposed. It is used to calculate the deflection angle and resonance frequency, and its validity is verified by finite element analysis. Experimental results show that it has a deflection angle of ±2.97 mrad(x-axis), ±3.24 mrad(y-axis) at 600 V p-p, an unloaded first-order resonance frequency of 1728 Hz, and a quasi-static hysteresis of only 7.5%, which is less than that of PSAs(>10%). With the constructed laser beam deflection system, a circular trajectory is realized, which has the potential for beam steering.

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A WLS-Based Step-by-Step Identification Method for Industrial Robot Dynamics Parameters

A WLS-Based Step-by-Step Identification Method for Industria...

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International Conference on Control, Automation and robotics (ICCAR)

作者： Qianjiang Wang Mingxiu Kong Chuancheng Bian Hao Hong State Key Laboratory of Robotics and System School of Mechatronics Engineering Harbin Institute of Technology Harbin China

ISBN: (数字)9798350373172

ISBN: (纸本)9798350373189

In order to improve the accuracy of robot dynamics parameter identification, this paper designs a step-by-step identification method based on weighted least squares. The robot dynamics model is first linearized to obtain the minimum parameter set. Subsequently, the friction model is built separately and experiments are designed to recognize the joint friction parameters first. Based on this, the excitation trajectory of finite term Fourier series is designed and optimized and data are collected. The joint moments obtained from the difference between the overall experimentally collected moments and the calculated friction moments are used to obtain the complete robot dynamics parameters based on weighted least squares identification. Comparison of the designed overall identification experiments shows that the total moment residuals of this method are reduced by 35.52% compared with the one-time identification method, which proves the effectiveness of this method.

关键词： Parameter estimation Accuracy Automation Service robots Friction Industrial robots Kinetic theory

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A Time-Optimal Trajectory Planning Algorithm for Six-Degree-of-Freedom Robots Based on NURBS Curves

A Time-Optimal Trajectory Planning Algorithm for Six-Degree-...

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International Conference on Control, Automation and robotics (ICCAR)

作者： Hao Hong Minxiu Kong Jiawang Wang Qianjiang Wang School of Mechatronics Engineering Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

ISBN: (数字)9798350373172

ISBN: (纸本)9798350373189

In this paper, we research and analyse the practical needs of robotic arm to complete the complex path planning of robotic arm and smooth transition of multi-attitude in the shortest time under the premise of satisfying the dynamics constraints, and put forward the time-optimal trajectory planning based on NURBS curves and multi-attitude interpolation algorithm based on quaternion with NURBS curves. Using the complex nature of quaternions, the quaternions are converted into three-dimensional space points for curve interpolation, and finally converted back to quaternions to achieve the second-order continuity of multi-gesture interpolation; a time-optimal trajectory planning algorithm based on NURBS curves is designed, which discretises the curves, and fits the NURBS curves using the discrete points. At the same time, the optimal rate solution under all the constraints is calculated point by point according to the discrete points on the motion path, and the optimal velocity curve satisfying the dynamics constraints is obtained, so as to achieve the time-optimal trajectory planning. Finally, the feasibility of the designed trajectory planning algorithm is verified in the simulation software and experimental platform, and it is proved that the algorithm can effectively improve the running speed by at least 30%.

关键词： Surface reconstruction Interpolation Trajectory planning Service robots Quaternions Heuristic algorithms Software algorithms

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A novel design of force-feedback master manipulator for remote ultrasound scanning

A novel design of force-feedback master manipulator for remo...

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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Li, Changle Zhang, Chentao Yu, Chuan You Zhang, Leifeng Liu, Gangfeng Zhao, Jie Harbin Institute of Technology State Key Laboratory of Robotics and System No.2 YiKuang Street NanGang District Harbin HeiLongJiang China

ISBN: (纸本)9781665481090

This paper presents a novel six-degree-of-freedom force feedback master manipulator for remote ultrasound scanning. Firstly, a new configuration based on a planar five-link mechanism is proposed, taking into account the practical needs of medical ultrasound scanning. This configuration has two operating modes and can provide three degrees of force feedback. Secondly, a hybrid force/position master-slave control system based on the kinetic model force feedback method is built, which can realize incremental master-slave control, variable proportional control, force feedback, and other functions. Finally, the positional accuracy, gravity balance effect, and force feedback performance of this master manipulator are verified through experiments. Experiments show that the average position error of this novel force feedback master manipulator is 1.18 mm, the average attitude error expressed in terms of Euler angles is 0.83°, and the maximum feedback force that can be provided is 12.1 N, which satisfies the requirements of ultrasonic scanning. © 2022 IEEE.

关键词： Feedback

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Research on Surface Defect Detection Technology of Long-Distance and Long-Span FAST Cable

Research on Surface Defect Detection Technology of Long-Dist...

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Mechatronics and robotics Engineering (ICMRE), International Conference on

作者： Xin Tong Xuehe Zhang Gangfeng Liu Changle Li Jie Zhao State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

Aiming at the problems of large cable span, small number of defect samples and complex background environment in the FAST cable defect detection task, a set of real-time defect detection algorithms based on convolutional neural network is proposed to realize the accurate location and classification of defects. It can achieve a good detection effect for defects with multiple angles and sizes, especially suitable for medium and long distances. The algorithm is verified on the dataset, and its recognition accuracy can reach 91.7%. Equipped on the hardware inference platform, it fully meets the efficiency and accuracy requirements of FAST cable inspection site, can be used in actual cable quality inspection tasks, and can be widely promoted to real-time defect detection of various high-altitude hanging cables.

关键词： Mechatronics Simulation Inspection Real-time systems Inference algorithms Hardware Convolutional neural networks

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