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

共 1298 条记录，以下是1-10 订阅

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Proceedings of 2023 international conference on robotics, control and vision engineering, rcve 2023

Proceedings of 2023 International Conference on Robotics, Co...

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2023 international conference on robotics, control and vision engineering, rcve 2023

ISBN: (纸本)9798400707742

The proceedings contain 14 papers. The topics discussed include: distributed Kalman filter for multi-agent tracking with Markov intermittent observation;auto-heading control of an over-actuated underwater vehicle based on active disturbance rejection control and optimal thrust allocation;the development of a prototype of configurable motors;a low-cost binaural hearing support system for mobile robots;data-driven friction compensation depending on modified disturbance observer for ball screw feed-drive system;swarm robots: virtual expectation as a driving force for self-organized aggregation;multi-scale fusion medical image registration with segmentation mask;a supervisory control system for flexible hospital rehabilitation beds based on computer vision;deep learning-based classification of neurodegenerative diseases using gait dataset: a comparative study;a study on an automatic self-training model for mango segmentation of sorting system;and clinical score estimation for determining Oro-facial dysfunction severity.

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Proceedings of 2024 2nd international conference on robotics, control and vision engineering, rcve 2024

Proceedings of 2024 2nd International Conference on Robotics...

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2024 2nd international conference on robotics, control and vision engineering, rcve 2024

ISBN: (纸本)9798400716706

The proceedings contain 8 papers. The topics discussed include: intelligent robotic chess system;study on the mechanical system of a docking robot with fork-holding of two sides for palletized goods on a conveyor line;3D printed myoelectric hand orthosis with force control;development and control of a 5-DOF robotic arm using forward kinematics and IoT integration;creating trustworthy patrol robot with an ethical design approach;research on detection strategy for EL defects in PV module based on YOLOv5 and improved multi-NMS;detection of osseous metastasis from bone scintigrams using a combined global and local patch-based deep learning model;and a weighted ensemble domain generalization method via multi-level invariant feature learning for rotating machinery fault diagnosis.

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12th international conference on robotics, vision, Signal Processing, and Power Applications, ROVISP 2023

12th International Conference on Robotics, Vision, Signal Pr...

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12th international conference on robotics, vision, Signal Processing, and Power Applications, ROVISP 2023

ISBN: (纸本)9789819990047

The proceedings contain 74 papers. The special focus in this conference is on robotics, vision, Signal Processing, and Power Applications. The topics include: Wind Energy Distributions for Integration with Dynamic Line Rating in Grid Network Reliability Assessment;Modeling of Multijunction Solar Cells InGaAs/InGaP/GaAs/GeSi for Improving the Efficiency of PV Modules by 43%;control Method of Two-Stage Grid-Connected PV Inverter System;Methodological Comparison and Analysis for Six-Switching PMBLDC Motor control;energy Efficiency Performance Optimization and Surge Prediction of Centrifugal Gas Compressor;A Novel Fuzzy PID control Algorithm of BLDC Motor;Optimized Design Point Model of SGT500 Using GasTurb 14;Optimal RE-DG and Capacitor Placement for Cost-Benefit Maximization in Malaysia Distribution System;internal Discharge Patterns Identification of Void in High Voltage Solid Insulation Using Phase Resolved Method;Exploring the Impact of Accelerated Thermal Aging on POME-Based MWCNT Nanofluid;accelerating Electric Vehicle Adoption on Malaysian Islands: Lessons from Japan’s Islands of the Future Initiative;effect of Incidence Angle on the Performance of a Dual Cantilever Flutter Energy Harvester;temporal Distribution of Thunderstorm Activity in Southern Region of Peninsular Malaysia;Enhance the AlGaN/GaN HEMTs Device Breakdown Voltage by Implementing Field Plate: Simulation Study;Design of Low-Power and Area-Efficient Square Root Carry Select Adder Using Binary to Excess-1 Converter (BEC);Simulation of Bottom-Gate Top-Contact Pentacene Based Organic Thin-Film Transistor Using MATLAB;acoustic Beamforming Using Machine Learning;A Comparative Analysis on Electrical and Photovoltaic Performances of MIS Structures on High Resistivity Silicon with Tunneling Insulator;Enhanced Parameter Estimation of Solar Photovoltaic Models Using QLESCA Algorithm.

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international conference on robotics, control, and Computer vision, ICRCCV 2022

International Conference on Robotics, Control, and Computer ...

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international conference on robotics, control, and Computer vision, ICRCCV 2022

ISBN: (纸本)9789819902354

The proceedings contain 47 papers. The special focus in this conference is on robotics, control, and Computer vision. The topics include: A Machine Learning Framework for Breast Cancer Detection and Classification;vision Transformers for Breast Cancer Classification from Thermal Images;an Improved Fourier Transformation Method for Single-Sample Ear Recognition;driver Drowsiness Detection for Road Safety Using Deep Learning;performance Evaluation of Different Machine Learning Models in Crop Selection;apriori Based Medicine Recommendation System;NPIS: Number Plate Identification System;leveraging Advanced Convolutional Neural Networks and Transfer Learning for vision-Based Human Activity Recognition;human Activity Recognition Using Deep Learning;real Power Loss Reduction by Chaotic Based Riodinidae Optimization Algorithm;5G Enabled IoT Based Automatic Industrial Plant Monitoring System;criterion to Determine the Stability of Systems with Finite Wordlength and Delays Using Bessel-Legendre Inequalities;adaptive control for Stabilization of Ball and Beam System Using H∞ control;Optimal Robust controller Design for a Reduced Model AVR System Using CDM and FOPIλDμ;Neural Network Based DSTATCOM control for Power Quality Enhancement;An Extensive Critique on FACTS controllers and Its Utilization in Micro Grid and Smart Grid Power Systems;arctangent Framework Based Least Mean Square/Fourth Algorithm for System Identification;stabilization of Ball Balancing Robots Using Hierarchical Sliding Mode control with State-Dependent Switching Gain;programmable Bot for Multi Terrain Environment;recovering Images Using Image Inpainting Techniques;a Computer vision Assisted Yoga Trainer for a Naive Performer by Using Human Joint Detection;study of Deformation in Cold Rolled Al Sheets;modelling and control of Semi-automated Microfluidic Dispensing System.

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Sixteenth international conference on Quality control by Artificial vision

Sixteenth International Conference on Quality Control by Art...

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16th international conference on Quality control by Artificial vision

ISBN: (纸本)9781510667464

The proceedings contain 46 papers. The topics discussed include: part-level single-view 3D shape reconstruction with multiple types of primitives;construction of a grape quality index from RGB images of crates;modal approach based on global stereo-correlation for defects measurement in wire-laser additive manufacturing;combining unsupervised and supervised deep learning approaches for surface anomaly detection;performance comparison of division of time and division of focal plane polarimeters;effect of lighting conditions on grape quality control by artificial vision;object detection model-based quality inspection using a deep CNN;frequency perturbation analysis for anomaly detection using Fourier heat map;concrete structure inspection based on deep learning approaches from visible and radar images;and semi-automatic tools for nanoscale metrology and annotations for deep learning automation on electron microscopy images.

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A Supervisory control System for Flexible Hospital Rehabilitation Beds Based on Computer vision 23

A Supervisory Control System for Flexible Hospital Rehabilit...

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2023 international conference on robotics, control and vision engineering, rcve 2023

作者： Santos, Bruno J. Leão, Tarcisio F. Palma, Rafael Martins, Daniel Bock, Eduardo G. P. Federal Institute of Sao Paulo Sao Paulo Brazil University Sao Judas Tadeu Sao Paulo Brazil Federal University of Santa Catarina Santa Catarina Brazil

ISBN: (纸本)9798400707742

This article investigates the potential of a computer vision algorithm to enhance patient care and optimize healthcare operations in rehabilitation hospital beds. The accuracy and reliability of the algorithm are critical factors that require careful consideration during the design and testing phases to ensure its effectiveness in detecting patient movements and behaviors. The objective of this study was to identify the contours of the patient and hospital bed through computer vision to detect and track patient movements and send commands to the bed control system to adjust the platform's position and inclination. The proposed computer vision algorithm was evaluated on a dataset of simulated patient images in hospital beds. The study successfully prepared the raw image data for analysis and classification using various image processing techniques. The results showed that the algorithm achieved an average precision of 80% in classifying a person, surpassing the practicality of methods associated with nurse monitoring at the bedside. Future work will focus on improving the artificial intelligence algorithm to detect patient activities and platform positions, ultimately enhancing patient care and safety in rehabilitation hospital beds. © 2023 ACM.

关键词： Hospital beds

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Low Cost Object Tracking by Computer vision Using 8 Bits Communication with a Viper Robot 8

Low Cost Object Tracking by Computer Vision Using 8 Bits Com...

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8th international conference on control and robotics engineering (ICCRE)

作者： Cruz Sandoval, Leonel Alejandro Univ Tecnol Cent Amer UNITEC San Pedro Sula Honduras

ISBN: (纸本)9798350345650

Computer vision systems have been an area of study for multiple areas of engineering. vision systems have been studied greatly in the area of robotics, as it is of great interest to better automate processes. Many perception systems have been created to improve object handling capabilities for robots. This article seeks to create a computer vision system capable of detecting objects and communicating with a robot in a cost-effective way. To achieve the development of the project the incremental methodology is used, having as first increment the object detection algorithm, the second increment the communication system and the third increment the implementation of an object classification library. In this project, object segmentation tools and neural networks are used to create an intelligent object classification system. The cost for this project are lower than others solution from the market. Although the costs show notorious differences, no motion detection tests were performed, which will be done as a second phase of the project.

关键词： Angle estimation Computer vision Raspberry Pi Viper 650 YOLO

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Intelligent Robotic Chess System 24

Intelligent Robotic Chess System

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2024 2nd international conference on robotics, control and vision engineering, rcve 2024

作者： Tsagaris, Apostolos Department of Industrial Engineering and Management International Hellenic University Greece

ISBN: (纸本)9798400716706

This work aims to study, design, and build an autonomous robotic chess system. It can recognize, record, and examine the players movements and process the collected data to choose the best possible move. It works manually and automatically. The system was built based on modern controller technologies combined with 4 stepper motor controllers and provides full and precise control of the movements required for its operation. Its operation has been tested by combining various movements, both simple and complex. Over 312 movements were performed and the evaluation of the system showed a Precision and Recall rate close to 97% indicating that the mechatronic system works very accurately and reliably. © 2024 Owner/Author.

关键词： Mechatronic Design

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A Lidar-vision Fusion Target Detection Model for Low-Light Environments 18

A Lidar-Vision Fusion Target Detection Model for Low-Light E...

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18th international conference on control Automation robotics and vision

作者： Wang, Jing Duan, Shuai Zhou, Meng North China Univ Technol Sch Elect & Control Engn Beijing 100144 Peoples R China

ISBN: (纸本)9798331518509;9798331518493

In the field of autonomous driving and specific environments, target detection is a critical task module. Currently, the mainstream approach to target detection is to use deep learning to train specific network models, enabling them to recognize targets. Although many effective network models have been proposed by scholars, there are few target detection networks tailored for low-light environments. In practical applications, complex lighting changes can lead to decreased accuracy in target detection. This paper combines a low-light enhancement network with a LiDAR-camera fusion target detection network to achieve target detection in low-light environments and validates the algorithm using the Nuscenes benchmark dataset. The experimental results demonstrate that the improved network exhibits greater robustness in target detection under complex lighting conditions.

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Parallel vision/Force Interactive control of Parallel Robots with Uncertainty Compensation 6

Parallel Vision/Force Interactive Control of Parallel Robots...

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6th international conference on Intelligent robotics and control engineering, IRCE 2023

作者： Zhu, Minglei Huang, Cong Qi, Jun Du, Yaning Xie, Min University of Electronic Science and Technology of China Chengdu China Chengdu University of Information Technology Chengdu China

ISBN: (纸本)9798350326338

This paper develops a novel force control method-ology: parallel vision/force interactive control, and applies it to the control of parallel robots. This control methodology is an advanced vision-based computed torque control that directly controls position and force in the image feature space. The creativity of this approach is the pose estimation of a parallel robot with visual information and coupling force feedback and vision information in parallel. A Gough-Stewart platform is taken into account to validate this approach. © 2023 IEEE.

关键词： Visual servoing

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