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检索条件"任意字段=2023 International Conference on Robotics, Control and Vision Engineering, RCVE 2023"

共 1305 条记录，以下是151-160 订阅

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Automatic Area Measurement of Ring Cooler Corner Images Based on EU-Net 2

Automatic Area Measurement of Ring Cooler Corner Images Base...

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2nd international conference on Artificial Intelligence, Human-Computer Interaction and robotics, AIHCIR 2023

作者： Wang, Wei Zhang, Dezheng Li, Qing Li, Jing Ma, Jinge Xi, Yaming School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China School of Mathematics and Physics University of Science and Technology Beijing Beijing China

ISBN: (纸本)9798350360363

Aimed to mitigate the challenges associated with manual detection, such as elevated risks and limited accuracy, a machine vision-based automatic measurement method is proposed for determining the area of a ring cooler corner. Specifically, an enhanced lightweight model known as EU-Net (Efficient U-Net), derived from the classic semantic segmentation U-Net model, is developed to accurately segment the ring cooler corners within the images. Subsequently, the OpenCV toolkit is employed to conduct area statistics on the segmented masks. The results show that EU-Net achieves comparable segmentation effectiveness and area statistics results to the classic U-Net, while utilizing only 0.097% of the parameters present in the latter model. Our improved algorithm obtains 99.74% and 94.5% in pixel-wise accuracy and intersection over union. Moreover, it can process 60 frames per second, effectively meeting real-time operational demands. © 2023 IEEE.

关键词： Computer vision

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Proceedings - 2023 8th international conference on Automation, control and robotics engineering, CACRE 2023

Proceedings - 2023 8th International Conference on Automatio...

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8th international conference on Automation, control and robotics engineering, CACRE 2023

ISBN: (纸本)9798350302776

The proceedings contain 68 papers. The topics discussed include: research on storage AGV system based on cloud edge collaboration;the experimental research about the human back kinematic characteristics with difference stride;reducing emissions through AdBlue tank temperature control in diesel engines with SCR system;a fault handling scheme for remote guidance of autonomous quick rendezvous and docking;development of online monitoring system for mine hoist cage;dynamic differential flatness of cable elasticity of a cable-driven parallel manipulator;a launch device for autonomous underwater vehicle used in water conveyance tunnel;heterogeneous graph convolutional network for visual reinforcement learning of action detection;detection of river floating waste based on decoupled diffusion model;and consensus of uncertain Euler-Lagrange multi-agent systems under switching digraphs and disturbances.

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Microexpression Classification Based on vision Transformer and Fusion Super-Resolution Technology

Microexpression Classification Based on Vision Transformer a...

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2024 international conference on Intelligent robotics and Automatic control

作者： Zhang, Jiachen Chen, Guoming Zhang, Qian Luo, Jialiang Guangdong Univ Educ Sch Comp Sci Guangzhou Peoples R China Northwest Minzu Univ Key Lab Stomatol Lanzhou Peoples R China

ISBN: (纸本)9798350389814;9798350389807

With the advancement of artificial intelligence technology, microexpression recognition has garnered significant attention in the fields of public services and lie detection. It is an essential tool for understanding human emotions and non-verbal communication. However, due to the brevity and subtlety of microexpressions, research in this area faces numerous challenges, including limited image datasets, low image resolution, diverse categories, and insufficient model generalization capabilities. To address these issues, a microexpression image classification method based on vision Transformer (ViT) and fusion super-resolution technology is proposed. This method leverages the strengths of super-resolution technology and the ViT model. The fusion dataset method, which utilizes a diffusion model for super-resolution, can effectively expand the microexpression dataset. Furthermore, the ViT model can effectively enhance the feature extraction ability for microexpression images. After applying this method to extract image features, the validation accuracy of the experimental dataset increased from 66.99% to 92.59%, representing a 25.6% improvement. The experimental results demonstrate that the proposed method of integrating ViT with fusion super-resolution effectively enhances the accuracy of microexpression image classification, providing a valuable reference for the application and development of microexpression recognition and classification technology in areas such as teaching activities, psychological research, and the legal field.

关键词： Microexpression recognition vision transformer super-resolution image classification

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Proceedings - 2023 2nd international conference on Artificial Intelligence, Human-Computer Interaction and robotics, AIHCIR 2023

Proceedings - 2023 2nd International Conference on Artificia...

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2nd international conference on Artificial Intelligence, Human-Computer Interaction and robotics, AIHCIR 2023

ISBN: (纸本)9798350360363

The proceedings contain 102 papers. The topics discussed include: LTMVSNet: a lightweight transformer network for multi-view stereo;structural segmentation and large language model make behavior tree more explainable;a hybrid method for remote sensing change detection;CloNet: a fine-grained classification network for clothing style image;selective representation of multi-agent q learning;depth image restoration for high-level vision tasks;combined active and passive variable admittance compliant control for teleoperation robotic systems;CA-FashionNet: light-weight hybrid model for fashion style classification;and ground calibration of long-focal plane array optical cameras based on planar target and collimated light tube.

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Machine vision and Six-Dimensional Force Recognition for Assembly Hole-Finding Strategies 2

Machine Vision and Six-Dimensional Force Recognition for Ass...

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2nd international Symposium on control engineering and robotics, ISCER 2023

作者： Yin, Lu-Lu Liu, Jian-Chun Li, Wei Ye, Zhong-Zhao School of Mechanical and Automotive Engineering Xiamen University of Technology Xiamen China Xiamen Aerospace Siert Robotic System Co. Ltd Xiamen China

ISBN: (纸本)9798350336405

In response to the current problems of bolt assembly in industrial automation, which can easily lead to jamming and hole-finding failure, the hole-finding method for bolt assembly is investigated. According to the different contact positions of the bolts, the force and torque values generated are different, and a method is proposed to determine the position of the bolts by identifying the magnitude and direction of the six-dimensional force. A monocular camera is used to obtain information on the position of the assembly hole to complete the initial positioning, a BP neural network is used to judge the assembly state, bolt position information is obtained from the feedback of force information, and a Gaussian fit is used to obtain the bolt movement distance to adjust the robot end motion. The results show that the robot can be reliably guided to complete the bolt assembly hole-finding within 30 seconds by visual guidance and feedback of force information. © 2023 IEEE.

关键词： Industrial robots

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An Optimization Method for SLAM Feature Point Extraction in Fuzzy Scenes 10

An Optimization Method for SLAM Feature Point Extraction in ...

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10th international Forum on Electrical engineering and Automation, IFEEA 2023

作者： Wang, Yunmeng Cui, Long Liu, Zaoming Liu, Nailong Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Beijing Institute of Control Engineering Science and Technology on Space Intelligent Control Laboratory Beijing China

ISBN: (纸本)9798350309379

In order to solve the problem that image blur is easily caused by camera shaking of micro-robots during surgical navigation, which leads to the accumulation of SLAM errors, this paper studies the feature point extraction optimization method based on deep learning in fuzzy scenes, proposes an improved defuzzification network, and finally applies the network to the front end of SLAM, and conducts experimental verification on the open data set TUM. The results show that the proposed algorithm significantly improves the accuracy of front-end feature extraction and matching. © 2023 IEEE.

关键词： environment perception feature extraction fuzzy detection Monocular vision SLAM Surgical navigation

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Solving one applied problem using computer vision technology 2

Solving one applied problem using computer vision technology

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2nd international conference on Computer Applications for Management and Sustainable Development of Production and Industry, CMSD 2022

作者： Minkin, A.V. Kostina, N.N. Elabuga Institute of Kazan Federal University Elabuga Russia

ISBN: (纸本)9781510662452

At present, it is generally recognized that robotics classes develop the engineering thinking of children, give them ideas about the work of designers, engineers, programmers, etc. In this article, we present the solution of one production problem by schoolchildren using computer vision technology. The paper details how, with the help of different robotic kits, three different solutions to the same task were designed and constructed, each of which differs in functions and characteristics. The process of building an automated robotic complex allows students to understand how the choice of design affects the performance of the system. The paper describes the problems that arose at various stages of solving the noted problem. Successful overcoming of all problems was achieved using a minimum number of robotic modules. © 2023 SPIE

关键词： robotics

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Cracking Causes of Dissimilar Steel Butt Joint of a High Temperature Superheater Tube in a Power Plant 2

Cracking Causes of Dissimilar Steel Butt Joint of a High Tem...

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2nd international conference on Automation, robotics and Computer engineering, ICARCE 2023

作者： Zhang, Yiwen Wu, Yuechao Tao, Kangning Fang, Lulu Electricity Technology Research Company Ltd Suzhou China Suzhou Tianhe China Power International Engineering Technology CO. LTD. Suzhou China

ISBN: (纸本)9798350308341

A T91/TP347H dissimilar steel butt joint of high temperature superheater tube of a 630 MW power plant unit was found cracked after 100,000 hours of operation. The reasons of cracking were analyzed by macroscopic examination, chemical composition analysis, metallographic examination, hardness test, scanning electron microscope (SEM) and energy dispersive spectroscopy (EDS) analysis. The results show that the misuse of welding materials is the root cause of the cracking. The excessive protrusion of the weld root and abnormal carburizing layer near the fusion line are the direct causes of the cracking. In view of the causes of cracking, it is suggested to strengthen the supervision of welding process, improve the welding quality and strictly control the heat treatment process. © 2023 IEEE.

关键词： Welds

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Blood Serum Recognition Method for Robotic Aliquoting Using Different Versions of the YOLO Neural Network 32nd

Blood Serum Recognition Method for Robotic Aliquoting Using ...

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31st international conference on robotics in Alpe-Adria-Danube Region (RAAD)

作者： Rybak, L. A. Cherkasov, V. V. Malyshev, D., I Carbone, G. Belgorod State Technol Univ Belgorod Russia Univ Calabria Dept Mech Energy & Management Engn I-87036 Arcavacata Di Rende Italy

ISBN: (纸本)9783031326080;9783031326066;9783031326059

This article discusses vision systems based on neural networks to optimize various processes in robotics. To perform aliquotation tasks, it is necessary to determine the volume of liquid available for sampling from a test tube. This problem can be solved by using vision systems. To determine the coordinates along which the delta manipulator should move, it was proposed to use a vision system based on the YOLO neural network. The algorithm, as well as the structure of the YOLO neural network for the operation of the control system of a robotic complex for aliquoting is considered. Conducting this study allowed us to choose the most appropriate version of the neural network for subsequent work.

关键词： automated aliquoting blood serum computer vision YOLO machine learning

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vision-Based Non-anthropomorphic Robot Teleoperation Considering Human Arm Configuration 2nd

Vision-Based Non-anthropomorphic Robot Teleoperation Conside...

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2nd international conference on the Frontiers of robotics and Software engineering, FRSE 2024

作者： Xiang, Jindong Xiang, Ruiqi Wang, Jiangnan Wang, Baichuan Ye, Yongyin Wang, Xiyu Li, Mengtang School of Intelligent Systems Engineering Shenzhen Campus of Sun Yat-Sen University Shenzhen518107 China Guangdong Provincial Key Laboratory of Fire Science and Technology Guangzhou510006 China

ISBN: (纸本)9789819630127

Teleoperation enables humans to perform tasks in complex and dangerous environments more safely and comfortably. Current vision-based methods for non-anthropomorphic robotic teleoperation focus mainly on tracking and imitating human motion to control the robot’s end-effector. However, in complex environments, these methods that lack direct control over other robotic joint configurations may encounter obstacle avoidance issues. Therefore, we proposed a method for generating human-like joint configurations in vision-based non-anthropomorphic robotic teleoperation. This method captures human motion data using only a monocular RGB camera and translates it into robotic motion. Specifically, a novel inverse kinematics solver is developed to calculate the robot’s human-like joint configuration. Through simulation experiments, the human-likeness of the robot’s posture and the tracking performance of its end-effector were analyzed, validating the effectiveness of the proposed method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Anthropomorphic robots

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