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

共 3899 条记录，以下是1521-1530 订阅

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Design and analysis of newly developed two-wheeler shock absorber helical spring 3

Design and analysis of newly developed two-wheeler shock abs...

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3rd international conference on Intelligent robotics, Mechatronics and Automation Systems, IRMAS 2023

作者： Hait, Mongaldip Dey, Tapobrata Sarnobat, Sandeep S Department of Mechanical Engineering D. Y. Patil College of Engineering Akurdi Pune India Savitribai Phule Pune University Pune India Department of Robotics and Automation D. Y. Patil College of Engineering Akurdi Pune India

The Elasticity property/Spring theory indicates that a long lasting spring is always showing small deflection and high stiffness and this property makes it comfortable for any applications. The present investigation deals with a comparative analysis carried out on the basis of sustainability of helical spring that is extensively used in suspension system, to increase the work efficiency of the shock absorber. A suspension system or a shock absorber is a mechanical device that is used to absorb shocks when riding in rough terrains. Stainless Steel grade (AISI316 & AISI302), High Carbon Steel (Music wire grade ASTM A228 & Hard drawn grade ASTM A227) and Alloy Steel (Chrome vanadium grade ASTM A231 & Chrome silicon grade ASTM A401) springs have been utilized throughout the study followed by applying compressive load. In order to enhance the mechanical property of the helical spring, alloy steel based material has been used instead of stainless steel. During this investigation a new shock absorber spring has been designed with the help of Solid Works software and the static structural analysis of the so formed model has been conducted via FEA. © Published under licence by IOP Publishing Ltd.

关键词： Finite element method

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ORB Feature Extraction and Feature Matching Based on Geometric Constraints 3

ORB Feature Extraction and Feature Matching Based on Geometr...

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3rd international conference on Image Processing and Intelligent control, IPIC 2023

作者： Wu, Zhenyu Wu, Xueqian School of Innovation and Entrepreneurship Dalian University of Technology Dalian116024 China School of Control Science and Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9781510668140

This paper studies feature extraction and feature matching in visual odometry. Aiming at the problems that ORB feature extraction does not have illumination invariance and feature distribution is uneven, an adaptive threshold algorithm for feature extraction is added, and a quadtree is used to manage feature points. Aiming at the problem of high time cost of the feature matching algorithm, an outlier removal algorithm based on geometric constraints is proposed, and the constraint set is constructed by using the slope, distance, and descriptor distance between the matching feature point pairs. Tested on the TUM dataset, the feature extraction algorithm can adapt to scenes with different brightness, and the robustness is improved. The time taken by outlier removal algorithm based on geometric constraints is about 10% of RANSAC. After that, combined with RANSAC, the running time of RANSAC can be reduced by 60%. Our algorithm can improve the estimation accuracy and robustness of the system. © 2023 SPIE.

关键词： Feature extraction

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High-pressure tubing pressure control based on MATLAB simulation And optimization modeling 3

High-pressure tubing pressure control based on MATLAB simula...

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3rd international conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2023

作者： Chen, Jianqiu Pang, Yanzhi Zhao, Tanyi Zhang, Junhua Zeng, Ping Zhong, Naisong Transportation College Nanning University No. 8 Longting Road Yongning District Guangxi Province Nanning City0771-5900990 China Guangxi Key Laboratory of Integrated Transportation International for China-ASEAN No. 8 Longting Road Yongning District Guangxi Province Nanning City0771-5900990 China

ISBN: (数字)9781510667617

ISBN: (纸本)9781510667600

The high-pressure fuel system is an important part of the transmitter. In its working process, the oil enters or sprays out, which will cause pressure changes. The pressure in the high-pressure oil pipe is basically stable at about 100MPa, and the density pressure formula is specially corrected. The correction value is +0.018 through the weighted average. The classic PID control algorithm is used to easily realize the control process of voltage stabilization from 100MPa to 150MPa. This paper establishes three models, namely, the high-pressure oil pump model, the fuel injector model and the decompression model. The MATLAB simulation software is used to display the results, and the fuel pressure and quality in the high-pressure oil pipe are used to connect the three models. The parallel operation method reduces the overall operation workload of the system, with good robustness and good scalability. © 2023 SPIE.

关键词： MATLAB

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Time-Varying Formation Tracking control of Heterogeneous Unmanned System with Obstacle and Collision Avoidance 3rd

Time-Varying Formation Tracking Control of Heterogeneous Unm...

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3rd international conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Wu, Kaili Gao, Yunwan Zhang, Min Xie, Mingyang College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China

ISBN: (纸本)9789819710829

It is of great significance to avoid obstacles and collision between agents in the time-varying tracking process of unmanned aircraft vehicle-unmanned ground vehicle (UAV-UGV) system to improve the safety of formation. This paper considers the time-varying formation tracking control of UAV-UGV heterogeneous system under obstacle avoidance and collision avoidance. Firstly, a state-dependent dynamic joint communication topology is designed because the communication of the formation changes with the relative positions of the agents. Secondly, the repulsion potential field functions between the UGVs and between the UGVs and the obstacle are designed respectively. Finally, the artificial potential field method is combined with the consensus formation control algorithm to realize obstacle avoidance and collision avoidance between UGVs through potential field force, and the consensus formation control algorithm realizes formation maintenance and trajectory tracking control. The simulation results show that this algorithm can ensure both the safety of formation and the stability of formation during formation tracking. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Unmanned aerial vehicles (UAV)

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A Target-free Stereo Matching Method of 3D Vision-based for Measuring Composite Fiber Bundles 3

A Target-free Stereo Matching Method of 3D Vision-based for ...

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3rd international conference on Testing Technology and Automation engineering, TTAE 2023

作者： He, Peng Lv, Junhao Xiao, Jinyou Ren, Ping Wang, Liqiang Zu, Lei College of Aerospace Northwestern Polytechnical University Shaanxi Xi'an710072 China Xi'an Institute of Aerospace Propulsion Technology Xi'an710025 China The 41st Institute of the Fourth Academy of CSAC National Key Lab of Combustion Flow and Thermo-structure Xi'an710025 China School of Mechanical Engineering Hefei University of Technology Hefei230000 China

ISBN: (纸本)9781510674769

The trajectory detection of composite fiber bundles holds significant importance for mechanical performance analysis and process parameter control. However, during the fiber bundle forming process, its surface presents challenges for existing detection techniques due to being difficult to access, having weak textural features, and exhibiting local high reflectivity characteristics. Addressing these issues, this paper proposes a novel measurement method based on 3D vision reconstruction technology to achieve high-precision measurement of fiber bundle trajectories in a non-contact manner. In this method, a "coarse to fine" stereo-matching strategy is introduced. Leveraging the constraints of binocular views, an initial matching strategy tailored for weak textural features is established. Furthermore, based on the locally obtained subarea images from the initial matches, a multi-directional fusion of feature enhancement and local stereo matching using deformation optical flow is proposed, enabling higher precision in 3D visual measurement. Through experimental verification using the composite shell winding process, the proposed method is demonstrated to efficiently and accurately capture the trajectories and winding angles of fiber bundles. © 2024 SPIE.

关键词： Trajectories

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3rd international conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023

3rd International Conference on Advanced Research in Technol...

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3rd international conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2023

ISBN: (纸本)9783031489297

The proceedings contain 81 papers. The special focus in this conference is on Advanced Research in Technologies, Information, Innovation and Sustainability. The topics include: Need for Quality Auditing for Screening Computational Methods in Clinical Data Analysis, Including Revise PRISMA Protocols for Cross-Disciplinary Literature Reviews;gamification in Recommendation Systems a Systematic Analysis;object Projection from to in Bachelor’s Degree with GeoGebra;efficacy of Blended Learning in the Teaching of Basic Surgical Skills in Medical Students at a Public University in Peru Between 2018 and 2022;technological Solution to Optimize Outpatient Waiting Time for Medical Care Between Multiple Private Healthcare Institutions – A Preliminary Research;learning for the Empowerment of High School Girl Students;intelligent System Comparing Clustering Algorithms to Recommend Sales Strategies;digitizing Musical Skills in Elementary School with the Use of Instagram;control of Type 1 and 2 Diabetes in Middle-Aged Individuals at Private Clinics in Metropolitan Lima: A Technological Solution Based on Wearables and IoT;Software Quality in the IOT in Health Sector and Commerce Sector;easy-Programming: Towards a Web Collaborating Algorithmic and Programming Aid for Early Apprentices;scheme of the Software engineering Elements that Are Part of the Development of eHealth-Oriented Models and Frameworks;reliable Reputation-Based Event Detection in V2V Networks;new Open Access Interactive Multifunctional Database Management System for Research of Biological Terminology: Technical Solutions;an Optimization Model for the Placement of Mobile Stroke Units;Leveraging Large Language Models for Literature Review Tasks - A Case Study Using ChatGPT;Environmental Impact of Food Products: A Data Analysis Approach Using HJ-Biplot and Clustering;amazlem: The First Amazigh Lemmatizer.

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Research on autonomous charging of robot based on fuzzy improved DWA algorithm 3

Research on autonomous charging of robot based on fuzzy impr...

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3rd international conference on Advanced Algorithms and Neural Networks, AANN 2023

作者： Peng, Yanchao Zhang, Yongli Yi, Guorong Si, Wei Li, Xinqi School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin China Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin China School of Information Technology Beijing Institute of Technology Guangdong Zhuhai China

ISBN: (纸本)9781510668355

The fuzzy improved DWA autonomous charging algorithm is proposed for the problems of high hardware cost, complex docking process and low docking efficiency of robot autonomous charging technology. A horizontal attitude adjustment function and a vertical attitude adjustment function have been added to the azimuth evaluation function of the traditional DWA algorithm. During the robot electrode docking process, the robot uses a fuzzy control algorithm to adjust the weight coefficients of the horizontal posture adjustment function and the weight coefficients of the vertical posture adjustment function according to the horizontal distance between itself and the charging pile, in order to control the robot's direct navigation to the charging pile. © 2023 SPIE.

关键词： Robots

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3rd international conference on Mechanical and Energy Technologies, ICMET 2023

3rd International Conference on Mechanical and Energy Techno...

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3rd international conference on Mechanical and Energy Technologies, ICMET 2023

ISBN: (纸本)9789819749461

The proceedings contain 50 papers. The special focus in this conference is on Mechanical and Energy Technologies. The topics include: A Numerical Investigation on Estimation and Validation of Power Law Constants for TiB2 Reinforced AA2024 Composite Material;Power Flow control of the Grid-Integrated DG System Using Hybrid Aquila Optimizer‑Tangent Search Algorithm;Design and Analysis of Manual Pallet Stacker by Using FEM Method;Design and Development of an IoT Counter Using ESP8266 for 6 Axis MIG Welding Robot;In-Depth Examination of the Mechanical Properties of AA6061/MoS2/SiC Hybrid Composites;optimization of Microchannel Heat Sink Shapes to Enhancing Electronic Cooling Efficiency;empowering Next-Generation Energy Infrastructure Through IoT for Climate Resilience;safeguarding Cryptocurrency Transactions: Leveraging Blockchain and Machine Learning for Enhanced Financial Security;utilizing Machine Learning for Advanced Natural Language Processing and Sentiment Analysis in Social Media Platforms;improving Image Clarity with Artificial Intelligence-Powered Super-Resolution Methods;revolutionising Tumour Diagnosis: How Clinical Application of Artificial Intelligence and Machine Learning Enhances Accuracy and Efficiency;harnessing Medical Databases and Data Mining in the Big Data Era: Advancements and Applications in Healthcare;machine Learning-Powered Design and Implementation for Classification of Missing Data in IoT Applications;ioT-Based Security Detection for Cloud Web Applications: Leveraging Internet of Things Approaches;Exploring Ethical Considerations: Privacy and Accountability in Conversational Agents like ChatGPT;navigating Cross-Lingual Natural Language Processing: Challenges, Strategies, and Applications;fostering Understanding: Bridging the Gap Between Black-Box Models and Human Interpretability with Explainable Artificial Intelligence;semantic Analysis and Machine Learning Techniques for Enhancing Content-Based Image Retrieval.

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Event-Triggered Delayed Impulsive control for Stochastic Delayed Systems 3

Event-Triggered Delayed Impulsive Control for Stochastic Del...

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3rd international conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2023

作者： Li, Peng Liu, Linna Li, Zhao Chai, Xuzhao School of Electric and Information Engineering Zhongyuan University of Technology Zhengzhou China

ISBN: (纸本)9781643684581

In this paper, the stabilization issue is investigated for stochastic delay systems via event-triggered delayed impulsive control (ETDIC) strategy. For the system model, both the delay in stochastic differential equations and impulsive controller are taken into account. Based on the designed ETDIC, some sufficient conditions can be obtained for the mean-square exponential stability of stochastic delayed systems under the premise of non-Zeno phenomenon. © 2023 The Authors.

关键词： Stochastic systems

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Research on 3D Semantic Map Based on SLAM and YOLOv4 3

Research on 3D Semantic Map Based on SLAM and YOLOv4

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3rd international conference on Machine Learning and Computer Application, ICMLCA 2022

作者： Qin, Lijuan Ma, Zeqi School of Information Science and Engineering Shenyang Ligong University Shenyang China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Science Shenyang China

ISBN: (纸本)9781510664814

To enable mobile robots to perform different tasks intelligently and autonomously in different work scenarios, we usually use SLAM to achieve simultaneous localization and map building of the robot mainly using to complete the functions. Localization and mapping are done only by detecting and matching feature points in the image, which only utilizes the geometric information in the environment and cannot obtain the linguistic information in the environment, resulting in the robot not being able to perceive the surrounding environment well. Location and mapping can only be done by detecting and matching the feature points in the image. Only the geometric information in the environment is used, and the linguistic information in the environment cannot be obtained, which makes the robot unable to perceive the environment well. In this paper, a three-dimensional semantic map is implemented based on the system design. The data uses RGBD image sequence, and the target detection algorithm YOLOv4 is applied to ORB-SLAM2 system to extract the semantic information in the environment. A three-dimensional dense point cloud map constructed by ORB-SALM2 system is segmented using an improved LCCP algorithm. Semantic information in the environment is projected to the three-dimensional point cloud according to the globally consistent camera posture, and a three-dimensional dense point cloud map with semantic information is constructed. © 2023 SPIE.

关键词： Robots

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