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检索条件"任意字段=3rd International Conference on Intelligent Robotics and Control Engineering, IRCE 2020"

共 1403 条记录，以下是51-60 订阅

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Lung Diseases Detection Based on ResNet and Deep Learning Method 3

Lung Diseases Detection Based on ResNet and Deep Learning Me...

引用

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

作者： Zhang, Yiqian Ding, Yan Zhang, Yifei School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781665492126

Usually, a doctor can judge whether a patient has lung disease by X-ray. With the spread of the COVID-19 virus, the number of patients continues to increase while manual work increases. Thus, it's a challenge now to detect what kind of lung diseases the patient has with radiography., in an accurate and fast way. With the development of deep learning and the emergence of CNN (Convolutional Neural Network), the devices equipped with neural network can become more intelligent and automated. In this article, we adopted ResNet to be our network, and used 3 data augmentation methods and data regularization methods to process the data and get higher accuracy. In this article, we reached 93.39% accuracy based on the experiments. © 2023 IEEE.

关键词： COVID-19

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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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Remote Sensing on a Bird-inspired Flapping Wings Robot Combined with LiDAR 3

Remote Sensing on a Bird-inspired Flapping Wings Robot Combi...

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

作者： Wu, Lican Han, Yaqi Zhu, Qingyang Hao, Yi Ye, Ziming Huang, Ruqi Cai, Yu Fu, H.Y. Tsinghua University Shenzhen International Graduate School Guangdong Shenzhen China Guangxi University Nanning School of Electrical Engineering Guangxi China

ISBN: (纸本)9798350360813

The flapping wing robot (FWR), inspired by avian aerodynamics, is a distinct category of unmanned aerial vehicles (UAVs). Different to general UAVs, such as quadcopters, FWRs are featured by their superior aerodynamic capabilities, minimal noise generation, inherent stealth, and lower energy consumption. As a result, they are rapidly becoming vital tools in a variety of civilian and military activities including environmental monitoring, disaster detection, search and rescue operations, ecological conservation, and military manoeuvres. Our study introduces the comprehensive integration of a light detection and ranging (LiDAR) module, serving as a visual perception device, with a large FWR that is equipped with 2-meter, two-segment wings. Based on this setup, the geospatial information of targeted area is captured and compared to the existed topographic data. © 2023 IEEE.

关键词： Remote sensing

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Analysis of the application of AI intelligent System in Land Use control 24

Analysis of the application of AI Intelligent System in Land...

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3rd international Symposium on robotics, Artificial Intelligence and Information engineering, RAIIE 2024

作者： Yang, Xianhong Wu, Yue Yang, Kun Lei, Jianming The Natural Resources Technology Information Center of Guizhou Province Guiyang550004 China School of Geography and Environment School of Karst Science Guizhou Normal University Guiyang550001 China

ISBN: (纸本)9798400718311

With the acceleration of urbanization and the continuous growth of population, land resources are increasingly tight, and land use control has become an important means to ensure the sustainable development of cities and the rational utilization of land resources. Traditional land use control methods often rely on manual judgment and decision-making, and have problems such as low efficiency and strong subjectivity. The emergence of AI intelligent systems provides a new solution for land use control. AI technology, with its strong data processing capabilities and predictive analysis capabilities, shows great potential in the field of land use control. This paper introduces the technical support system of land use control, analyzes the current situation and necessity of land use control system in China, and then discusses the application of AI intelligent system in land use control. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Artificial intelligence

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Vision-based mobile robotic grinding path generation for large castings 3

Vision-based mobile robotic grinding path generation for lar...

引用

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

作者： Chen, Lufeng Chen, Aobo Kuang, Yiqun Fan, Shuai Qiu, Jing Uestc School of Automation Engineering Chengdu China Chengdu University of Technology School of Mechanical and Electrical Engineering Chengdu China Uestc School of Mechanical and Electrical Engineering Chengdu China

ISBN: (纸本)9798350360813

Given the numerous drawbacks of manual grinding for castings, the use of robots for intelligent grinding is quickly becoming an unavoidable trend. This paper introduces the design of a grinding robot system for the intelligent grinding of medium and large non-standard castings. The proposed system uses labels to identify and scan the surface that needs grinding, subsequently registering and segmenting the obtained point cloud. From here, it converts the select grinding area into a triangular mesh surface, and maps it onto a parametric domain using the re-parameterization method. The system then plots a path on the plane and maps it back onto the original workpiece, acquiring the final grinding path after necessary tool axis adjustments. The grinding head is then manipulated to perform constant force grinding, employing the PID control. Tests have shown that the system can effectively grind the surface of medium and large nonstandard castings in real-world industrial settings. © 2023 IEEE.

关键词： Grinding (machining)

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IOT Based Virtual Telepresence Robot 3

IOT Based Virtual Telepresence Robot

引用

3rd IEEE international conference on intelligent Techniques in control, Optimization and Signal Processing, INCOS 2024

作者： Pon Pushpa, S. Ewins Jayasree, T. Mariammal, K. Selwyn, Chris Jonathan Solomon, S. Benny Raj, S. Harish College of Engineering Anna University Department of Ece Guindy Chennai India Madras Institute of Technology Anna University Department of Electronics Engg. Chrompet Chennai India

ISBN: (纸本)9798350361186

This paper, marks an innovative exploration of robotics, IoT, and telepresence technologies, aiming to create a versatile and user-friendly robot, for remote control and real-time presence in distant locations. The key components and functionalities of this work, include the ESP32 micro controller, which serves as the central brain, interfacing with an analog joystick for user control. The Raspberry Pi camera, integrated through Message Queuing Telemetry Protocol, enhances capabilities, with high-quality real-time video, streaming to provide an immersive experience. The L298N motor driver facilitates precise control over the robot's mobility, allowing it to navigate in any direction. ESP32's role in interfacing with the analog joystick, for movement control is emphasized. As a conclusion, the integration of hardware and software components, in the development of the IoT based Virtual telepresence robot, represents a significant leap forward in the realm of remote robotics. © 2024 IEEE.

关键词： Internet of things

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Robot Obstacle Avoidance Path Planning Based on Improved Artificial Potential Field 3

Robot Obstacle Avoidance Path Planning Based on Improved Art...

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

作者： Zhu, Lingyun Xie, Hailong Song, Ziyang Liangjiang International College Chongqing University of Technology Chongqing401135 China Shanghai Radio Equipment Research Institute Shanghai200240 China

ISBN: (纸本)9781510671867

In the realm of intelligent agent control, path planning has been one of the most well-liked study subjects. The path planning for obstacle avoidance approach proposed in this study is an enhanced artificial potential field method. By directing the barrier in the robot's direction and combining the boundary repulsion and vector decomposition of the goal direction, the local minimum problem is resolved. Next, the final combined force is delivered to the robot's center and the angle coefficient is added to provide a fair obstacle avoidance effect while taking into account the physical distance between the two sides of the robot and the quantity of extra environmental obstacles. Finally, the enhanced algorithm is used to perform a global path search. The simulation results validate the applicability and effectiveness of the suggested approach. © 2023 SPIE.

关键词： Motion planning

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Design and testing of an intelligent variable application system with a small flow rate 3

Design and testing of an intelligent variable application sy...

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3rd international conference on Electronics, Electrical and Information engineering, ICEEIE 2023

作者： Li, Deqiang Tang, Boqing Xiong, Feng Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes of Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China Key Laboratory of Agricultural Equipment Intelligent Technology Liaoning Shenyang China Institutes for Robotics and Intelligent Manufacturing University of Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781510671423

To meet the requirements of on-demand dispensing and precise application, improve the level of precise application of pesticides, and realize the protection of land, an intelligent variable application system with a small flow rate was designed, and an intelligent variable application controller was developed. The system can accurately measure the speed of operating machines and tools, with human-computer interaction function, can manually input acres spray volume, display real-time flow, can be real-time control according to the speed of operation. The mapping model of operation speed and dosage was established. The variable parameter incremental PID control algorithm was used to control the flow rate, and the first-order filtering method was used to filter the velocity sensor data. The experimental results show that the small-flow intelligent control system has better control accuracy and responsiveness under different working environments, which provides a reference for precise variable flow application control under the condition of small flow. © 2023 SPIE.

关键词： Real time control

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Research on Fuzzy control of Two-stage ISD Suspension Based on Variable Inerter 3

Research on Fuzzy Control of Two-stage ISD Suspension Based ...

引用

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

作者： Linhao, Jin Jingjing, Fan Fu, Du Ming, Zhan School of Electrical and Control Engineering North China University of Technology Beijing100144 China School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781510671867

In order to better balance the driving safety and ride comfort of the car, a new two-stage semi-active suspension structure is designed with three elements of variable inerter, spring and damper as the suspension structure. Firstly, the ISD semi-active suspension is set up in Matlab/Simulink;Besides both the road model and fuzzy controller model are set up to simulate the dynamics of three schemes, namely passive ISD suspension, inerter PID control and inerter fuzzy control respectively. The results indicate that the performance of ISD suspension adopting the fuzzy control strategy is better, compared with the passive ISD suspension and the ISD PID-controlled suspension. thus it verifies the superiority of using fuzzy control strategy. © 2023 SPIE.

关键词： Fuzzy control

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Path Planning for Mobile Robots Based on Improved A∗ Algorithm 3

Path Planning for Mobile Robots Based on Improved A∗ Algori...

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

作者： Wang, Weijing Xu, Xiangrong Miao, Haining Petrovic, Petar B. Rodic, Aleksandar Wang, Zhixiong Anhui University of Technology School of Computer Science and Technology Maanshan China Anhui University of Technology School of Mechanical Engineering Maanshan China University of Belgrade Faculty of Mechanical Engineering Belgrade Serbia Institute Mihajlo Pupin University of Belgrade Belgrade Serbia Osaka University School of Medicine Osaka Japan

ISBN: (纸本)9798350360813

Addressing the issues of excessive redundant nodes, non-smooth paths, and low search efficiency in the path planning process of the traditional A∗ algorithm, this paper proposes an improved Dynamic Expansion Neighborhood A∗ algorithm for optimal path planning. Firstly, building upon the traditional A∗ algorithm, the search neighborhood is dynamically expanded by combining the 8-neighbor and 24-neighbor search algorithms, dynamically adjusting the search scope to reduce redundant nodes. Secondly, through modification of the heuristic function, introducing weights, and optimizing the estimation function to enhance path search efficiency. Finally, the obtained path is subjected to smoothing processing to eliminate corner sharp points, improving path smoothness. Simulation results demonstrate that the improved A∗ algorithm outperforms the traditional algorithm in terms of length, node count, and smoothness of the planned path. © 2023 IEEE.

关键词： Motion planning

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