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作者： Wang Bolun Zhang Tao Shi Zhengjin Zhang Hualiang Xie Feng Liu Zihong School of Automation and Electrical Engineering Shenyang Ligong University Shenyang Institute of Automation Chinese Academy of Sciences Key Laboratory of Networked Control Systems Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences School of Electrical Engineering Dalian University of Technology

Recently,with the development of technology and the lucubrate of automation technology,the dependence of modern industry on synchronous motors has gone deep into the *** fact,the current complex control algorithms consume the computing power of the data processing chips and put forward a higher request to the ability of ***,the emphasis of this study lies in a rapid deployment method of a brushless DC motor servo control system based on the model *** using Simulink software to simulate and verify the three-closed-loop servo model of the DC brushless motor,Verilog or VHDL language code will be generated,which can automatically configure the project according to the ***,a drive and control hardware platform based on Xilinx Zynq-7000 chips was built to verify the feasibility,the experimental results indicate that the proposed method can effectively simplify the deployment of complex algorithm codes,reduce the development cycle of brushless DC motor servo system with strong engineering practicability.

关键词： MBD HDL Coder BLDC Servo control

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Holographic MIMO Communications with Arbitrary Surface Placements: Near-Field LoS Channel Model and Capacity Limit

arXiv

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arXiv 2023年

作者： Gong, Tierui Wei, Li Huang, Chongwen Yang, Zhijia He, Jiguang Debbah, Mérouane Yuen, Chau School of Electrical and Electronics Engineering Nanyang Technological University Singapore639798 Singapore College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Hangzhou310027 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China Technology Innovation Institute Masdar City Abu Dhabi9639 United Arab Emirates KU 6G Research Center Khalifa University of Science and Technology P O Box 127788 Abu Dhabi United Arab Emirates CentraleSupelec University Paris-Saclay Gif-sur-Yvette91192 France

Envisioned as one of the most promising technologies, holographic multiple-input multiple-output (H-MIMO) recently attracts notable research interests for its great potential in expanding wireless possibilities and achieving fundamental wireless limits. Empowered by the nearly continuous, large and energy-efficient surfaces with powerful electromagnetic (EM) wave control capabilities, H-MIMO opens up the opportunity for signal processing in a more fundamental EM-domain, paving the way for realizing holographic imaging level communications in supporting the extremely high spectral efficiency and energy efficiency in future networks. In this article, we propose a generalized EM-domain near-field channel modeling and study its capacity limit of point-to-point H-MIMO systems that equips arbitrarily placed surfaces in a line-of-sight (LoS) environment. Two effective and computational-efficient channel models are established from their integral counterpart, where one is with a sophisticated formula but showcases more accurate, and another is concise with a slight precision sacrifice. Furthermore, we unveil the capacity limit using our channel model, and derive a tight upper bound based upon an elaborately built analytical framework. Our result reveals that the capacity limit grows logarithmically with the product of transmit element area, receive element area, and the combined effects of 1/d2mn, 1/d4mn, and 1/d6mn over all transmit and receive antenna elements, where dmn indicates the distance between each transmit element n and receive element m. Particularly, 1/d6mn dominates in the near-field region whereas 1/d2mn dominates in the far-field region. Numerical evaluations validate the effectiveness of our channel models, and showcase the slight disparity between the upper bound and the exact capacity, which is beneficial for predicting practical system performance. Copyright © 2023, The Authors. All rights reserved.

关键词： MIMO systems

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Micro Robotic Manipulation System for the Force Stimulation of Muscle Fiber-like Cell Structure

Micro Robotic Manipulation System for the Force Stimulation ...

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： Xie Chen Qing Shi Shingo Shimoda Tao Sun Huaping Wang Qiang Huang Toshio Fukuda Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China Intelligent Robotics Institute School of Mechatronical Engineering Beijing Institute of Technology Beijing China Intelligent Behavior Control Collaboration Unit RIKEN Center of Brain Science Nagoya Japan Key Laboratory of Biomimetic Robots and Systems Beijing Institute of Technology Ministry of Education Beijing China Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China

Many previous works have facilitated muscle cell (C2C12) alignment to form fiber-like cell structures. However, there still remains a challenge how to induce C2C12 myoblasts in the cell structures to differentiate into matured myocytes to form a functional muscle tissue, while external mechanical stimulation has been proved to have good effects on proliferation and differentiation of myoblasts. In this paper, we proposed a vision-based micro robotic manipulation system to achieve automatic mechanical stimulation for one single muscle fiber-like cell structures (MFCS). A tube, which is attached to a three degree-of-freedom (DOF) manipulator, and a probe are employed to apply the uniaxial mechanical stimulation to train the MFCS. To measure the force applied on MFCS, a vision-based measuring and correction method is utilized, which decrease the error by 74%. Moreover, based on the viscoelastic property of the MFCS, a feedback control algorithm has been applied to compensate for the force loss to realize the force stimulation. And the final value of force remains 699 ± 1μN after 110s experiment.

关键词： Force measurement Force Measurement uncertainty Muscles Manipulators Feedback control Electron tubes

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Effect of conducting polymers on nitrogen-doped multiwalled carbon nanotube for the detection of chemical warfare agent simulant

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Microchemical Journal 2025年 215卷

作者： Sanjeeb Lama Hyeong Seon Choi Sujina Tamang Sivalingam Ramesh Hee-Chan Jang Young Jun Lee Joo-Hyung Kim Laboratory of Intelligent Devices and Thermal Control Department of Mechanical Engineering Inha University Incheon 22212 South Korea Department of Biological Science and Bioengineering Inha University Incheon 22212 South Korea Department of Mechanical Robotics and Energy Engineering Dongguk University Seoul 04620 South Korea

Chemical warfare agents (CWAs) have inflicted significant harm to human lives, from World War I to present-day conflicts, including armed battles, terrorist incidents, and civil wars. To explore the possibility of early detection of CWAs to prevent loss of life, we developed various composite materials for sensing these agents using a hydrothermal process. The surface acoustic wave (SAW) sensor was employed as a detector for dimethyl methyl phosphonate (DMMP), a well-known simulant of the nerve agent sarin. Nitrogen doped multiwalled carbon nanotube (N-MWCNT) was used as a precursor, with polymers such as carboxymethyl cellulose (CMC), polyaniline (PANI), and polypyrrole (PPy) added to enhance sensitivity to DMMP concentrations ranging from 2 to 10 parts per million (ppm). The N-MWCNT@CMC composite demonstrated exceptional performance exhibiting frequency response (Δ f ) of ∼1212 Hz at a concentration of 10 ppm DMMP. The composite materials showed excellent sensitivity to DMMP with minimal effect of potential interferences during selectivity test. Specifically, the N-MWCNT@CMC showed excellent coefficients of determination ( R 2 ) of 0.990, with a limit of detection (LOD) of 1.33 ppm. In the relative humidity test from 30–70 %, the N-MWCNT@CMC exhibited the highest Δ f , measuring ∼137 Hz. However, it showed lowest Δ f difference of ∼16 % in temperature tests conducted from 25–75 °C. The Brunauer-Emmett-Teller (BET) results revealed that the addition of CMC to the N-MWCNT increased the pore size (adsorption = 36.9 nm, desorption = 40.0 nm) of the composite, which enhanced its sensitivity to DMMP during both adsorption and desorption. Based on these findings, it can be concluded that synthesized composites show potential as candidates for detecting the nerve agent sarin.

关键词： Adsorption mechanism Chemical warfare agents (CWAs) Composite nanomaterials Dimethyl methylphosphonate (DMMP) Surface acoustic wave (SAW) sensor

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Distributed fixed-time consensus algorithm for multiple nonholonomic chained-form systems

Distributed fixed-time consensus algorithm for multiple nonh...

引用

Chinese intelligent Systems Conference, CISC 2018

作者： Jiang, Yutao Liu, Zhongxin Chen, Zengqiang College of Computer and Control Engineering Nankai University Tianjin300353 China Tianjin Key Laboratory of Intelligent Robotics Nankai University Tianjin300353 China

ISBN: (纸本)9789811322877

In this paper, the fixed-time control algorithm is used to address the consensus problem for multiple nonholonomic chained-form systems. For the sake of analysis, a switching control strategy is introduced to solve the fixed-time consensus problem. Compared with the finite-time control algorithm, the convergence time of the fixed-time consensus protocol, can be guaranteed regardless of the initial conditions. Rigorous proof using Lyapunov theory shows that the sates of multiple nonholonomic chained-form systems can reach a consensus in a fixed time. To further illustrate the effectiveness of the control algorithm, a numerical simulation is given. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Distributed parameter control systems

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Robotic Electrospinning Actuated by Non-Circular Joint Continuum Manipulator for Endoluminal Therapy

Robotic Electrospinning Actuated by Non-Circular Joint Conti...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Zicong Wu Chuqian Lou Zhu Jin Shaoping Huang Ning Liu Yun Zou Mirko Kovac Anzhu Gao Guang-Zhong Yang Shanghai Jiao Tong University Shanghai P. R. China Imperial College London and Empa-Swiss Federal Laboratories for Materials Science and Technology Precision Robotics (Hong Kong) Limited Hong Kong China Aerial Robotics Laboratory Imperial College London London United Kingdom Shanghai Jiao Tong University and the Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai P. R. China

Electrospinning has exhibited excellent benefits to treat the trauma for tissue engineering due to its produced micro/nano fibrous structure. It can effectively adhere to the tissue surface for long-term continuous therapy. This paper develops a robotic electrospinning platform for endoluminal therapy. The platform consists of a continuum manipulator, the electrospinning device, and the actuation unit. The continuum manipulator has two bending sections to facilitate the steering of the tip needle for a controllable spinning direction. Non-circular joint profile is carefully designed to enable a constant length of the centreline of a continuum manipulator for stable fluid transmission inside it. Experiments are performed on a bronchus phantom, and the steering ability and bending limitation in each direction are also investigated. The endoluminal electrospinning is also fulfilled by a trajectory following and points targeting experiments. The effective adhesive area of the produced fibre is also illustrated. The proposed robotic electrospinning shows its feasibility to precisely spread more therapeutic drug to construct fibrous structure for potential endoluminal treatments.

关键词： Drugs Electric potential Fluids Tissue engineering Medical treatment Bending Manipulators

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An MR Safe Rotary Encoder Based on Eccentric Sheave and FBG Sensors

An MR Safe Rotary Encoder Based on Eccentric Sheave and FBG ...

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： Shaoping Huang Anzhu Gao Zicong Wu Chuqian Lou Yanjun Wang Guang-Zhong Yang The Institute of Medical Robotics and School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China Shanghai Jiao Tong University The Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China The Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China The Imperial College London and Empa-Swiss Federal Laboratories for Materials Science and Technology

MRI-guided robotic systems are emerging platforms for minimally invasive intervention because of high positioning accuracy and excellent tissue contrast. MR safe encoders are critical components for closed-loop robotic control. This paper develops an MR safe absolute rotary encoder based on eccentric sheave and FBG sensors. The eccentric sheave transforms the rotational motion of the shaft to the bending deflection of the beam on which FBG sensors are integrated. A model is built by establishing the relationship of the kinematics of the sheave, the mechanical properties of the beam with unknown length, and the strain model of two Fiber Bragg Grating (FBG) sensors. A Pseudo-Rigid Body (PRB) 3R model is used to solve a set of constrained equations for accurate rotary encoding. A prototype is built to calibrate the parameters and validate the accuracy of the encoder and its MR compatibility. Results show that the maximum angular error is 1.6°, and the RMS error is 0.46°. MRI shows that no noticeable artifacts are observed, and the Signal to Noise Ratio (SNR) is not affected. The results demonstrate the potential of the proposed method for it to be integrated with MR safe robots with easy fabrication, compact structures, and continuous measurement.

关键词： Mechanical sensors Shafts Analytical models Kinematics Transforms Fiber gratings Robot sensing systems

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Cover Image, Volume 40, Number 6, September 2023

引用

Journal of Field robotics 2023年第6期40卷

作者： Guoteng Zhang Shugen Ma Jinguo Liu Xianwu Zeng Lingyu Kong Yibin Li School of Control Science and Engineering Shandong University Jinan China Department of Robotics Ritsumeikan University Shiga Japan State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Yibin Li School of Control Science and Engineering Shandong University Jinan China. Intelligent Robot Research Centre Zhejiang Lab Hangzhou China

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Compatible-invariant subset analysis of deterministic finite automata via semi-tensor product of matrices approach

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The Journal of China Universities of Posts and Telecommunications 2018年第5期25卷 75-82页

作者： Zhang Zhipeng Chen Zengqiang Liu Zhongxin College of Computer and Control Engineering Nankai University Tianjin Key Laboratory of Intelligent Robotics Nankai University

The compatible-invariant subset of deterministic finite automata（ DFA） is investigated to solve the problem of subset stabilization under the frameworks of semi-tensor product（ STP） of matrices. The concepts of compatibleinvariant subset and largest compatible-invariant subset are introduced inductively for Moore-type DFA,and a necessary condition for the existence of largest compatible-invariant subset is given. Meanwhile,by using the STP of matrices,a compatible feasible event matrix is defined with respect to the largest compatible-invariant *** on the concept of compatible feasible event matrix,an algorithm to calculate the largest compatible-invariant subset contained in a given subset is proposed. Finally,an illustrative example is given to validate the results.

关键词： discrete event dynamical systems （DEDSs） finite automata compatible iuvariant semi-tensor product （STP） compatible feasible eventmatrix

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3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video

arXiv

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arXiv 2021年

作者： Wang, Guangming Zhong, Jiquan Zhao, Shijie Wu, Wenhua Liu, Zhe Wang, Hesheng Department of Automation Institute of Medical Robotics Key Laboratory of System Control and Information Processing Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai200240 China Department of Engineering Mechanics Shanghai Jiao Tong University Shanghai200240 China Department of Computer Science and Technology University of Cambridge CambridgeCB2 1TN United Kingdom

Depth and ego-motion estimations are essential for the localization and navigation of autonomous robots and autonomous driving. Recent studies make it possible to learn the per-pixel depth and ego-motion from the unlabeled monocular video. A novel unsupervised training framework is proposed with 3D hierarchical refinement and augmentation using explicit 3D geometry. In this framework, the depth and pose estimations are hierarchically and mutually coupled to refine the estimated pose layer by layer. The intermediate view image is proposed and synthesized by warping the pixels in an image with the estimated depth and coarse pose. Then, the residual pose transformation can be estimated from the new view image and the image of the adjacent frame to refine the coarse pose. The iterative refinement is implemented in a differentiable manner in this paper, making the whole framework optimized uniformly. Meanwhile, a new image augmentation method is proposed for the pose estimation by synthesizing a new view image, which creatively augments the pose in 3D space but gets a new augmented 2D image. The experiments on KITTI demonstrate that our depth estimation achieves state-of-the-art performance and even surpasses recent approaches that utilize other auxiliary tasks. Our visual odometry outperforms all recent unsupervised monocular learning-based methods and achieves competitive performance to the geometry-based method, ORB-SLAM2 with back-end optimization. Copyright © 2021, The Authors. All rights reserved.

关键词： Robots

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