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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41-50 订阅

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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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intelligent Car control System Based on Vision Tracking Technology 24

Intelligent Car Control System Based on Vision Tracking Tech...

引用

3rd international Symposium on control engineering and robotics, ISCER 2024

作者： Guo, Rong Wu, Jing Shanghai Institute of Technology College of Economics and Management Shanghai60009246 China

ISBN: (纸本)9798400709951

With the progress of science and technology, intelligent vehicles have been widely used in environmental detection, data acquisition and other aspects. However, the wired control method they use can be inconvenient for practical applications. Therefore, this paper designs an intelligent car wireless control system based on eye tracking. The system uses the Tobii eye tracker4c eye tracker to track and recognize human line of sight. Under the control of STM32, the acquired instructions are transmitted to the receiving end of the car by means of ZigBee wireless communication, and the motion state of the car is finally controlled. The designed system can control the forward, backward, left, right turn, parking, obstacle avoidance and other states of the car through six sight directions. The test results show that the accuracy of automobile action execution is about 98% by using the wireless control system, and the precise control of the automobile can be realized. The technology has the advantages of non-contact, convenience, stability and safety, and reduces a lot of complicated procedures, making the operation of intelligent cars more stable and reliable. © 2024 ACM.

关键词： Zigbee

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Research on Coal and Gangue Recognition Method Based on Improved MobileNetV3 Network 3

Research on Coal and Gangue Recognition Method Based on Impr...

引用

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

作者： Chen, Wei Wang, Shuang Luo, Qisheng Li, Xin College of Mechanical Engineering Anhui University of Science and Technology Collaborative Innovation Center of Mine Intelligent Equipment and Technology Huainan Anhui232001 China

ISBN: (纸本)9781665492126

In order to solve the problems of classical convolutional neural networks in coal and gangue recognition, such as large calculation amounts, slow recognition speeds, and low recognition accuracy, a method for coal and gangue recognition based on an improved MobileNetV3 network is proposed. Based on the MobileNetV3 model, the activation function and attention mechanism were improved and the number of network layers was reduced. Finally, the accuracy rate, F1 score, and floating-point operation (FLOPs) were used as the benchmark for model evaluation. The results showed that: The test accuracy rate after the improved MobileNetV3 is 99.5%, the F1 score is 0.995, and FLOPs is 50455003. A comparison between the model and the MobileNetV3, EfficientNet, and AlexNet models shows that all indicators of the model are higher than those of other models. Suitable for coal gangue recognition model. © 2023 IEEE.

关键词： Image enhancement

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A Hybrid CNN and Transformer Model for Chest X-Ray Classification: Toward Accurately Diagnosing COVID-19 3

A Hybrid CNN and Transformer Model for Chest X-Ray Classific...

引用

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

作者： Shi, Xiaoqiang Liu, Kun Su, Keyi Huang, Gang University of Shanghai for Science and Technology School of Health Science and Engineering Shanghai China China Stata Institute of Pharmaceutical Industry School of Medicine and Pharmacy Shanghai China Shanghai University of Medicine and Health Sciences Shanghai Key Laboratory of Molecular Imaging Shanghai China

ISBN: (纸本)9798350360813

Recent studies have employed computer vision and convolutional neural network based methods to automate and enhance the diagnosis based on chest X-ray. However, these approaches demand significant computational resources and other intricate techniques to produce *** order to reduce the model parameters and improve the diagnostic accuracy of COVID-19, we proposed a framework based on lightweight CNN and vision transformer. This framework leverages two key components: the MBConvFusion module and the mobile inverted bottleneck convolution block. By introducing the MBConvFusion module, which connects three MBConv modules in parallel, our model achieves outstanding accuracy of 98.75% with only 1.4 million parameters. © 2023 IEEE.

关键词： COVID-19

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Research on obstacle avoidance algorithm of self-driving bus based on driving risk assessment 3

Research on obstacle avoidance algorithm of self-driving bus...

引用

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

作者： Li, Yulong Xie, Hui Tianjin University School of Mechanical Engineering Tianjin300072 China

ISBN: (纸本)9798350360813

This paper proposes an obstacle avoidance trajectory planning algorithm for autonomous driving buses, which enhances the vehicle's ability to respond to dynamically changing environments. The proposed algorithm employs the lateral motion sampling method to generate multiple maneuver candidate trajectories, which are then evaluated using the normalized penalty function. Additionally, the algorithm considers the uncertainty of the future trajectory of obstacles and establishes a driving risk estimation model. The Monte Carlo sampling method is used to evaluate the driving risk of various maneuvering trajectories, and the algorithm considers collision probability, rear vehicle safety signs, and anxiety factors for the optimal candidate trajectory. Experimental results demonstrate that the proposed driving risk assessment method reduces the variance of the driving risk value by 83.14%, and the error value by 85.50% in the presence of perceptual uncertainty errors. The jump frequency of obstacle avoidance decisions can be reduced by 66.66%, and the variation range of the curvature is reduced by 32.29%. This approach generates a safe, comfortable, and stable obstacle avoidance trajectory in the presence of obstacles. © 2023 IEEE.

关键词： Risk assessment

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Event-Triggered Feedback control of Differential Driver Mobile Robot 3

Event-Triggered Feedback Control of Differential Driver Mobi...

引用

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

作者： Li, Xiaohan National Pilot School of Software Yunnan University Kunming650000 China

ISBN: (纸本)9781510671867

This paper presents the development of a model-based event-triggered control strategy for addressing the stabilization problem in nonholonomic robots. The proposed strategy is implemented in a practical setup. To handle the inherent nonlinearity of nonholonomic robots, feedback control is employed. Additionally, an event-triggered tactic is incorporated to alleviate communication burdens and computational loads, while ensuring system performance. The stability of the closed-loop system is rigorously guaranteed. Furthermore, comprehensive analyses of experimental results are provided, encompassing simulations as well as real-world experiments. © 2023 SPIE.

关键词： Feedback control

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Improvement of mobility spectrum algorithm based on Hall measurement 3

Improvement of mobility spectrum algorithm based on Hall mea...

引用

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

作者： Wang, Xin Zhou, Ruiqiang Yu, Ning He, Jian Xiamen University School of Aerospace Engineering Xiamen China

ISBN: (纸本)9798350360813

Mobility spectrum analysis is a data analysis algorithm based on Hall measurement, which aims to analyze the spectrum of semiconductor carriers. By collecting the semiconductor conductance tensor analysis in the variable magnetic field, the electron and hole transport behavior in the material can be studied. However, the traditional maximum entropy mobility spectrum algorithm has some limitations, such as sensitivity to data noise and uncertainty, and high computational complexity. To solve these problems, this paper proposes two key improvements. Firstly, the entropy information containing probability values is introduced into the change matrix to improve the robustness and accuracy of the algorithm. Secondly, the adaptive step factor is adopted. Through the simulation verification of various situations, the results show that the improved algorithm can not only better deal with noise and uncertainty, but also improve the evaluation indexes such as fitting degree, Gaussian peak parameter and convergence factor under the same number of iterations, which is more meaningful in the material research of semiconductor field. © 2023 IEEE.

关键词： Entropy

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Comparison and Analysis of Laser Simultaneous Localization and Mapping Algorithms in Indoor Glass Scenes 3

Comparison and Analysis of Laser Simultaneous Localization a...

引用

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

作者： Fang, Zuhua Jiang, Runze Liu, Chang An, Kang College of Information Mechanical and Electrical Engineering Shanghai Normal University No.100 Haisi Road Shanghai201418 China

ISBN: (纸本)9781510671867

The measurement data obtained by lidar in front of the transparent glass will have large errors with the actual environment. it is necessary to solve the problem of environmental perception of mobile robots in transparent glass indoors. This paper introduces four laser SLAM algorithms, Gmapping-SLAM, Hector SLAM, Karto-SLAM and Cartographer SLAM, and makes experimental comparison and analysis through simulation platform. The most suitable algorithm for indoor glass scenes is selected. © 2023 SPIE.

关键词： Glass

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The buried target detection system based on unmanned underwater vehicle: Signal processing methods for parametric Ricker wave 3

The buried target detection system based on unmanned underwa...

引用

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

作者： Zhou, Hanyun Li, Wei Zhejiang University of Technology College of Information Engineering Hangzhou China Hangzhou City University College of Information and Electronic Engineering Hangzhou China

ISBN: (纸本)9798350360813

To promote the development of marine environment monitoring equipment which is adapted to shallow sea environments, a buried target detection system based on parametric acoustic array (PAA) technology deployed in unmanned underwater vehicle (UUV) is proposed in this paper. Due to the technical advantages of PAA, this system is small size, light weight and cost-effective. However, the signal processing methods for PAA are more complex than that for linear sonar system because of the nonlinear effect of the sound field of PAA. Therefore, signal processing method for parametric Ricker wave are designed in this paper, including pre-processing and modulation method for transmitter and echo signal processing method for receiver. In detail, carrier-suppressed square root modulation is used to produce Ricker waves in the far field of PAA. CWT-based and STFT-based Synchrosqueezing transforms are proposed to improve time-frequency resolution and thus detection accuracy. We demonstrate the effectiveness of the proposed methods through simulation. © 2023 IEEE.

关键词： Unmanned underwater vehicles

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Neural Contextual Adaptation (NCA): For Unsupervised Learning in Dynamic Environments 3

Neural Contextual Adaptation (NCA): For Unsupervised Learnin...

引用

3rd international conference on intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Praveen Kumar, G.D. Sanjan, S. Suraj, P. Rohan, U.A. Srinivas, R. Thanush, V. Visvesvaraya Technological University P.E.S College of Engineering Department of Computer Science and Engineering Mandya India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515911

In recent years, artificial intelligence (AI) has made significant strides in various domains, primarily driven by supervised learning techniques requiring vast amounts of labeled data. However, real-world applications, particularly those involving rapidly changing environments, demand models capable of autonomous adaptation without the need for extensive labeled datasets. In this paper, we present a novel framework for unsupervised learning that allows AI models to dynamically adapt in real-time to changing environments. Our approach leverages a combination of self-organizing maps and contrastive predictive coding to enhance model flexibility and adaptability across diverse settings. We introduce an architecture that incorporates temporal data processing and on-the-fly adaptation mechanisms, enabling the model to learn and generalize from evolving data distributions. Through extensive practical assessments and experimentation, we demonstrate our model's ability to outperform existing unsupervised approaches in real-time object detection and decision-making scenarios. The results, which show a significant reduction in model retraining time and increased adaptability to novel environments, suggest that our framework can be applied to various fields including robotics, autonomous vehicles, and dynamic control systems. © 2025 IEEE.

关键词： Self-supervised learning

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