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检索条件"任意字段=3rd International Conference on Robotics and Control Engineering, RobCE 2023"

共 3888 条记录，以下是211-220 订阅

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A Congestion Sub-area Coordinated control Model for Queue Suppression Based on Improved Evolutionary Algorithm 3

A Congestion Sub-area Coordinated Control Model for Queue Su...

引用

3rd international conference on robotics, Automation and Intelligent control, ICRAIC 2023

作者： Shou, Yanfang Li, Hongjie Xu, Jianmin South China University of Technology Guangzhou Institute of Modern Industrial Technology Guangzhou China Poly Changda Engineering Co. Ltd Engineering Technology Department Guangzhou China South China University of Technology School of Civil Engineering and Transportation Guangzhou China

ISBN: (纸本)9798350360813

Iterative optimization of signal control timing is an significant way to alleviate urban traffic congestion. In order to ensure the stability of traffic operation under traffic congestion, this paper constructed a coordinated control algorithm for congestion sub-area facing queue suppression. By introducing path traffic flow and path length indicators, a method for selecting critical traffic paths under congestion conditions was proposed. A coordinated control model for congestion sub-area was established, with the optimization goal of maximizing the throughout traffic volume of critical traffic paths and minimizing the increment of maximum queue length in sub-area. In order to improve the convergence ability of the algorithm, taking the green signal ratio, phase sequence, split and cycle as optimization parameters, a microscopic simulation environment was constructed to solve individual fitness, and an improved adaptive genetic algorithm based on simulated annealing adaptive crossover and mutation strategy was used to obtain optimal signal timing parameters. The simulation results showed the proposed method can effectively improve the sub-area traffic operation efficiency under congestion conditions. © 2023 IEEE.

关键词： Traffic congestion

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Comparitive Analysis of Deep Learning Techniques for Assistive Soft Wearable Robots 3

Comparitive Analysis of Deep Learning Techniques for Assisti...

引用

3rd international conference on Advances in Computing, Communication, Embedded and Secure Systems, ACCESS 2023

作者： Chandran, Ranjeesh R Chakrapani, V Yogeshwar Krishnan, Sreedeep Dharmaraj, D Ganeshaperumal Kalasalingam Academy of Research and Education Deptartment of Instrumentation and Control Engineering Tamil Nadu Srivilliputhur India

ISBN: (纸本)9798350346169

A new innovation called wearable assistive robotics has the potential of assisting those with sensorimotor disabilities in doing routine tasks. A lot of research is done on soft robots because of its adaptability, deformability, and flexibility. In contrast to soft robots and rigid robots, face obstacles in control, calibration, and modelling because the properties of soft materials which result in complex behaviors due to hysteresis and non-linearity. The use of deep learning techniques in real-time poses additional challenges for researchers when it comes to accuracy and equipment cost. Recent research has used various deep learning algorithms to address these constraints. This paper gives deep insight and analysis of existing deep learning techniques in the area of assistive soft wearable robotics and classifies their applicability in various soft robotic applications. The current constraints in the study field, along with an analysis of various deep learning models with regard to various types of assistive soft wearable robot applications, are provided, followed by a description and implementation of the available deep learning techniques for assistive soft wearable robotics. © 2023 IEEE.

关键词： Robot applications

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Event-Triggered Fuzzy Adaptive control of Nontriangular Structure Fractional Order Nonlinear Systems 3

Event-Triggered Fuzzy Adaptive Control of Nontriangular Stru...

引用

3rd international conference on Computer, control and robotics, ICCCR 2023

作者： Gong, Dianjun Wang, Yong University of Science and Technology of China Department of Automation Hefei China

ISBN: (纸本)9781665492126

This paper focuses on the fuzzy adaptive control of incommensurate uncertain nontriangular structure fractional order systems (FOSs). First, virtual control variable is separated by differential Mean Value Theorem, and fuzzy logic systems are employed to approximate the uncertain system dynamics. Then, adaptive update laws are designed to estimate the approximation errors and dynamic surface control (DSC) technique with error compensation mechanism is utilized to conquer the calculation complexity explosion phenomenon in the backstepping process. After that relative-Threshold-based event-Triggered strategy is adopted to release more communication resources and Zeno behavior is proved to be avoided. Finally, the stability of the closed-loop systems is confirmed by indirect Lyapunov method and the validity of the developed controller is verified by the simulation examples. © 2023 IEEE.

关键词： Error compensation

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The Research on the Ice Thickness Detection System Based On Capacitance Sensor 3

The Research on the Ice Thickness Detection System Based On ...

引用

3rd international conference on Automation, control and robotics engineering (CACRE)

作者： Du Xiaoting Anhui Sanlian Coll Econ & Technol Dev Zone 47 Hean Rd Hefei Anhui Peoples R China

ISBN: (纸本)9781510873377

A transmission line remote monitoring system combined with wireless sensor technology was designed, through the single-chip computer control to complete the system data from the collection to send all aspects of data processing work. The icing monitoring system uses capacitive thickness detection sensors to collect data from multiple capacitance values and send the collected data to the control center processor through the serial port. The processor then processes the data and stores it on the SD card. in. Through the single-chip computer control to complete the system data from collection to send all aspects of data processing. The processor finishes the data transmission and connects with the GPRS communication module through the RS232 serial port. The automatic detection of ice thickness using the difference in resistance characteristics of air and ice, it is a new type of object surface ice coating thickness detection method. The utility model can be applied to real-time continuous automatic monitoring engineering application fields of high-pressure transmission lines and fixed towers, buildings or various equipment surfaces, suspension brackets, forest branches, and the like.

关键词： Electric lines

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Research on Objectives Recognition of robotics based on Convolutional Neural Network 3

Research on Objectives Recognition of Robotics based on Conv...

引用

3rd international conference on Electronic Information engineering and Computer Science, EIECS 2023

作者： Ren, Guanzhu Zhao, Yichen Wu, Zhengfeng Li, Pengwei Mi, Kaiyu Taiyuan University of Technology College of Wollongong Engineering Taiyuan China Jinzhong China Taiyuan University of Technology College of Mechanical and Transportation Engineering Taiyuan China

ISBN: (纸本)9798350316674

Recently, robotics has widely utilized in tremendous applications including traffic transportation, medical treatments, power system and virtual environment. These applications are almost based on the vision system, which is consisted by detection sensors and cameras. However, existing recognition methods are concentrated on the precision of machine learnings under the ideal setups and ignored the complex environment for robotics. In this paper, we simulate the realistic robotics sensors with non-complete input images and propose a novel convolutional network without redundancy neural layers. Indeed, an attention mechanism is established to enhance the recognition accuracy of proposed framework. Finally, we evaluate our model with existing objectives identification learning methods in the identical testing configurations. From our extensive experiment results and analysis, we can conclude that the proposed model can achieve the objectives recognition in complex robotics scenario with acceptable recognition accuracy and reasonable computation costs. © 2023 IEEE.

关键词： Attention mechanism Convolutional neural network Objectives recognition robotics

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control technology and verification of space advanced technology demonstration satellite 3

Control technology and verification of space advanced techno...

引用

3rd international conference on control and Intelligent robotics, ICCIR 2023

作者： Li, Jinsong Yang, Yingquan Zhang, Yonghe Zhang, Xiaofeng Chen, Wen Zhou, Heng Innovation Academy for Microsatellites of CAS Shanghai201304 China Shanghai Engineering Center for Microsatellites Shanghai201304 China

ISBN: (纸本)9781510671867

Aiming at the requirement of low cost, high precision and high stability of space advanced technology demonstration satellite, a method of heterogeneous backup of attitude control sensor is proposed, and the design principle of the sensor is analyzed in depth multi-sensor information fusion algorithm is designed. The control strategy of the satellite is optimized, the weighted PID control strategy is designed, and a reasonable integral separation threshold is selected. control bandwidth is adjusted to reduce the control deviation caused by time delay. The objective of the attitude control system is to achieve control accuracy better than 0.1°(3σ) and control stability better than 0.003°/s(3σ).Through the analysis of on-orbit test data, the control accuracy of the satellite is better than 0.005°(3σ), and the control stability is better than 0.0005°/s(3σ). © 2023 SPIE.

关键词： Satellites

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Research on Welding trajectory planning of MOTOMAN-MA1440 robot based on MATLAB robotics Toolbox 3

Research on Welding trajectory planning of MOTOMAN-MA1440 ro...

引用

3rd international conference on control and Intelligent robotics, ICCIR 2023

作者： Pan, Yunping Lu, Yongqi Liu, Chao School of Mechanical and Electrical Engineering Wuhan University of Technology WuHan430000 China

ISBN: (纸本)9781510671867

In order to analyze the welding trajectory of the rear axle weld on a drive axle, the kinematics equation of the robot was established using the D-H parameter method. MATLAB robotics Toolbox was utilized to verify the forward and inverse kinematics through simulation and to plan the trajectory, continuous and stable terminal pose, change curves of Angle, angular velocity and angular acceleration were obtained. By incorporating specific weld points on the workpiece, the fitting toolbox in MATLAB was employed for curve fitting. The results demonstrate a strong alignment between the trajectory curve fitted by the actual welding points and the simulated trajectory curve. It provides theoretical support for the further research of MOTOMAN-MA1440 robot. © 2023 SPIE.

关键词： MATLAB

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Auto-segmentation of Lung in CT Image Series Based on Level Set Method with Prior Knowledge 3

Auto-segmentation of Lung in CT Image Series Based on Level ...

引用

2017 3rd IEEE international conference on control Science and Systems engineering (ICCSSE)

作者： Rui Liang Xue Jiao Chen Jian Xun Zhang Shool of Information Technology Engineering Tianjin University of Technology and Education Institute of Robotics and Automatic Information System Nankai University

ISBN: (纸本)9781538604854

With development of medical image processing, more and more cancers are diagnosed and treated with assistance of computer, especially lung cancer. Extracting lung from CT image series is usually the first step. Hundreds of CT images slow down the processing. As to clinical applications, the accuracy and efficiency is crucial. We proposed and realized an auto-segmentation of lung in CT image series based on level set method with prior knowledge. Firstly, we autosegmented one CT image with LBF method. Secondly, we extracted the lung contour from the segmentation with region grow and feature selection. In the end, we extracted the lung contour of the next CT image with DRLSE method. The previous lung contour was set to be the initial contour to ensure the accuracy and efficiency. The experiment results proved that our approach is more stable and faster. It spent only about 67% of the time that LBF and DRLSE did.

关键词： auto-segmentation Lung Contour LBF DRLSE

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Deep Learning Based Semantic Labelling of 3D Point Cloud in Visual SLAM 3

Deep Learning Based Semantic Labelling of 3D Point Cloud in ...

引用

3rd international conference on Automation, control and robotics engineering (CACRE)

作者： Qi, Xuxiang Yang, Shaowu Yan, Yuejin Natl Univ Def Technol State Key Lab High Performance Comp Changsha 410073 Hunan Peoples R China Natl Univ Def Technol Coll Comp Changsha 410073 Hunan Peoples R China

Three-dimensional (3D) point cloud understanding is important for autonomous robots. However, point clouds are normally irregular and discrete. It is challenging to obtain semantic information from them. In this paper, we present a method to build a dense semantic map, which utilizes both two-dimensional (2D) image labels and 3D geometric information. The dense point cloud is built by using a state-of-the-art RGB-D SLAM system. It is further segmented into meaningful clusters using a graph-based method. Then, image keyframes during the SLAM process are used to extract semantic image labels by a convolution neural network (CNN). Finally, these semantic labels are projected to the point cloud clusters to achieve a 3D dense semantic map. The effectiveness of our method is validated on a popular public dataset.

关键词： Graphic methods

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Leukocyte segmentation and counting based on microscopic blood images using HSV saturation component with blob analysis 3

Leukocyte segmentation and counting based on microscopic blo...

引用

3rd international conference on control and robotics engineering, ICCRE 2018

作者： Quiñones, Vonn Vincent Macawile, Merl James Ballado, Alejandro Cruz, Jennifer Dela Caya, Meo Vincent School of Electrical Electronics and Computer Engineering Mapua University Manila Philippines

ISBN: (纸本)9781538666630

Determining the accurate count of leukocytes commonly known as WBC (white blood cells) in a blood test is critical in evaluating and diagnosing an individual's health particularly on a wide range of diseases which includes infections, anemia, leukemia etc. There are two widely used methods to determine leukocyte count. First, is through the use of hematology analyzer and the other is done manually. Nowadays, with the advent of technology leukocyte counting was improved through the use of digital image processing. However, the algorithm of the existing methods involves too many steps which complicates the image processing phase. Thus, we considered counting leukocytes by incorporating the HSV (Hue, Saturation, Value) saturation component with blob analysis on microscopic blood images which highlights the eccentricity and area features for counting to simplify existing methodologies which in turn generates faster and more accurate results. © 2018 IEEE.

关键词： Diagnosis

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