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检索条件"任意字段=Proceedings of the 3rd International Conference on Mechatronics and Robotics Engineering"

共 6132 条记录，以下是11-20 订阅

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Spectral and Morphological Classification of Celestial Objects using Physics Informed Machine Learning 3

Spectral and Morphological Classification of Celestial Objec...

引用

3rd IEEE international conference on robotics, Automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024

作者： Siddiquee, Md Fairuz Hasan, Md Mehedi University of Dhaka Department of Robotics and Mechatronics Engineering Dhaka Bangladesh

ISBN: (纸本)9798331534400

The classification of celestial objects has traditionally relied on spectral analysis, which involves identifying unique patterns in the light emitted or absorbed by the objects. In this study, we present a novel approach to categorizing celestial objects based on their spectral properties and morphological structures, leveraging physics-informed machine learning (PIML) techniques to enhance the classification accuracy and efficiency. In the spectral analysis, using Sloan Digital Sky Survey (SDSS) dataset, we classified stars, galaxies, and quasars, focusing on redshift and near-infrared values with i and z filters. Our analysis employed three machine learning models (K-Neighbors, SVM, Random Forest), and the performances were verified to be resilient applying hyperparameter tuning and cross-validation. The best-performing model, Random Forest Classifier, achieved 98% accuracy. In the morphological analysis, the YOLO v5 model was utilized on a customized dataset of astronomical images to further classify the Galaxy Class into five distinct categories and the YOLOv5 model detected those with an average precision of 92.6% and recall of 68.9%. In addition, the interpretability of the model is enhanced by the incorporation of physical knowledge, allowing astronomers to gain deeper insights into the underlying processes. Integrating physical knowledge into these ML models enhances interpretability, facilitating automated real-time analysis of big astronomical data and advancing our understanding of the cosmos. © 2024 IEEE.

关键词： Random forests

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i-Glove: An Intelligent Glove System Based on Deep Learning to Support Deaf-blind Individuals in Recognizing Banknotes 3

i-Glove: An Intelligent Glove System Based on Deep Learning ...

引用

3rd IEEE international conference on robotics, Automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024

作者： Hossain, Fahad Mohammad Alavi, Rafit Safat, Yeamin Sarker, Gobinda Chandra Noor, Nafisa Hossain, Ekram Mymensingh Engineering College Department of Computer Science and Engineering Mymensingh Bangladesh University of Dhaka Department of Robotics and Mechatronics Engineering Dhaka Bangladesh

ISBN: (纸本)9798331534400

The deaf-blind community faces significant challenges in identifying banknotes due to simultaneous hearing and vision impairments, which complicate their ability to conduct daily financial transactions. Recent advances in Artificial Intelligence (AI)-based assistive technologies offer promising potential to address these challenges. This study presents the "i-Glove,"a wearable device specifically developed to assist the deaf-blind community in Bangladesh with accurate banknote identification. The i-Glove is designed to recognize nine common Bangladeshi banknotes (e.g., BDT 20, 50, 100) through a camera module integrated on the palmar side of the glove, which captures real-time images of the banknotes. These images are then processed by a convolutional neural network (CNN) model to accurately classify each banknote. Identified notes are translated into unique vibration patterns that are delivered to the user through a shaftless vibration motor embedded in the glove, providing intuitive, non-visual communication. Compared to previous approaches, our model demonstrates superior performance even with a compact dataset, achieving an overall F1-score accuracy of 96.55%, with class-specific precision, recall, and F1-score metrics ranging from 90% to 100%. Additionally, a dedicated application is developed which supports real-time banknote detection and interfaces seamlessly with the glove. The proposed system represents a significant step forward in assistive technology for the deaf-blind community, empowering the users with greater autonomy in financial transactions. © 2024 IEEE.

关键词： Convolutional neural networks

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A Self-Aware Robotic Machining Architecture Based on Physics-Informed Neural Networks 3

A Self-Aware Robotic Machining Architecture Based on Physics...

引用

3rd international conference on mechatronics, Control and robotics, ICMCR 2025

作者： Zhang, Yuanhui Wang, Mingfeng Wu, Kai South China University of Technology Shien-Ming Wu School of Intelligent Engineering Guangzhou China Engineering Brunel University Department of Mechanical and Aerospace London United Kingdom

ISBN: (纸本)9798331544546

Industrial robots have been widely used in various industrial scenarios due to their flexibility and expandability. However, robots are susceptible to instability at high speeds and load conditions due to their low stiffness and dynamic characteristics variation with posture. Enhancing the processing stability of industrial robots through data-driven modeling and physical modeling approaches suffers from different drawbacks, such as solution complexity and weak interpretability. With the emergence of physics-informed neural networks (PINNs), new methodologies can be developed to enhance the self-aware processing of robots. In this paper, typical industry application scenarios and dynamics of robotics as well as PINNs are introduced and analyzed, and a framework and method based on PINNs are proposed to enhance the self-aware operation of industrial robots. This framework and methodology contribute to the researcher's efforts to apply PINNs more intensively to robot operation in the future to improve the stability and intelligence of robot operation. © 2025 IEEE.

关键词： Industrial robots

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Fabrication of a Revolutionary Pick-and-Place Robot with Omnidirectional Mobility 3

Fabrication of a Revolutionary Pick-and-Place Robot with Omn...

引用

3rd international conference on Image Processing and robotics, ICIPRoB 2024

作者： Rahman, Md Hasibur Haque, Samiul Monir, Md Fayed Al Uddin, Mohammad Faisal Alam, Saadia Binte Independent University Bangladesh Department of Computer Science Engineering Dhaka Bangladesh Independent University of Bangladesh RIoT Research Center Dhaka Bangladesh

ISBN: (纸本)9798350374766

The paper outlines the creation of an innovative robot capable of omnidirectional movement, enhancing its ability to navigate confined industrial spaces. This robot, uniquely designed for picking and placing tasks, underwent a comprehensive development process, including planning, design, fabrication, and programming. It represents a notable advancement in the field of industrial robotics, with potential applications in environments where traditional robots may be less effective. The discussion also covers possible future improvements and broader applications of this technology. © 2024 IEEE.

关键词： Pulse width modulation

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Optimal Trajectory Generation for Horizontal Boom Motion of Rotary Cranes Considering Load-Rotation Suppression 3

Optimal Trajectory Generation for Horizontal Boom Motion of ...

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3rd international conference on mechatronics, Control and robotics, ICMCR 2025

作者： Farrage, Abdallah Amir, Nur Azizah Takahashi, Hideki Sasai, Shintaro Sakurai, Hitoshi Okubo, Masaki Uchiyama, Naoki Toyohashi University of Technology Department of Mechanical Engineering Toyohashi441-8580 Japan Assiut University Faculty of Engineering Department of Mechatronics Engineering Assiut71515 Egypt Kobelco Construction Machinery Co. Ltd. Hiroshima731-5161 Japan

ISBN: (纸本)9798331544546

A rotary crane is one of the indispensable mechanical systems on construction sites, which is widely used to transport heavy loads and raw materials, such as steel bars and pipes, wood, and concretes. Confirming safe and efficient motion for rotary cranes is highly recommended for minimizing travel costs and operating time. During motion, the crane load freely produces two-dimensional load-sway and rotation, which influence the crane motion and may cause collisions and accidents. This study aims to simultaneously suppress the rotation and sway of the crane load using a time-optimal trajectory for horizontal boom motion under crane dynamics, load-rotation, and swaying angle constraints. The proposed optimization is conducted based on discretization of the optimal trajectory, which divides the boom motion into multiple positions between the initial location and final destination. Simulation results confirm the effectiveness of the proposed approach in suppressing loadrotation and sway not only during motion but also after reaching the destination. © 2025 IEEE.

关键词： Discrete-time optimization Industrial rotary crane Load-rotation Trajectory generation

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Adaptive Sliding Mode Voltage Control of DC/DC Buck Converters 3

Adaptive Sliding Mode Voltage Control of DC/DC Buck Converte...

引用

3rd international conference on Service robotics, ICoSR 2024

作者： Xu, Fachao Xiong, Jingjing College of Electrical and Mechanical Engineering China Jiliang University Hangzhou China

ISBN: (纸本)9798350367119

This article investigates the problem of voltage tracking sliding mode control in DC/DC buck converters. To fix the problem of chattering and outside interference in sliding mode control, this paper proposes a fixed time sliding mode controller (FTSMC) based on radial basis function neural network (RBFNN). Using the proposed neural network based sliding mode controller, it can ensure that the buck converter accurately tracks the trajectory of the ideal value. Finally, the effectiveness of the proposed control method is validated through simulation. © 2024 IEEE.

关键词： Buck converter

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Path Finding Robot for Energy Efficient Automated Grass Cutter 3

Path Finding Robot for Energy Efficient Automated Grass Cutt...

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3rd international conference on Image Processing and robotics, ICIPRoB 2024

作者： Premarathne, Uthpala Subodhani Wijesinghe, W.A.P.C. The Open University of Sri Lanka Department of Electrical and Computer Engineering Nugegoda Nawala Sri Lanka

ISBN: (纸本)9798350374766

Coverage path planning is a well identified problem in robotics. For lawn mover applications this is a formal problem modeled using cell based coverage problem. In this paper, we describe an energy efficient design and development of a robot that can cut grass over a flat terrain using offline coverage path planning. Cell sizes differ in geometric shapes. Simulations of the coverage and field tests were conducted. As evidenced by the results, energy efficient design is suitable for small and medium lawns. Modular design can be used to extend the coverage over much larger areas with expected energy efficiency. © 2024 IEEE.

关键词： Robot programming

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A Percussive Coring Drill for Sample Collection of Lunar Regolith: Design and Implementation 3

A Percussive Coring Drill for Sample Collection of Lunar Reg...

引用

3rd international conference on Service robotics, ICoSR 2024

作者： Du, Tao Yuan, Zihao Gan, Tianyue Han, Rujin Mu, Ruinan Wang, Ke Zhao, Haifeng Wang, Jinbo University of Chinese Academy of Sciences Key Laboratory of Space Utilization Technology and Engineering Center for Space Utilization Chinese Academy of Sciences Beijing China Key Laboratory of Space Utilization Technology and Engineering Center for Space Utilization Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350367119

The world has been greatly interested in the sampling of lunar regolith. A novel sampling method is required to acquire a large amount of diverse lunar regolith. In this paper, a percussive coring drill for sample-collecting robot is proposed. It is revealed in the experimental study that the sampling rate of lunar regolith is increased by the percussive load during coring. Sampling rates vary with changes in percussive frequency. During the field test, the sampling mechanism with a percussion module designed in the paper is successfully integrated and assembled with a robotic dog, verifying the feasibility of the design. © 2024 IEEE.

关键词： robotics

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Implementation of human-following robot system applying virtual delay to posture of a leader 3

Implementation of human-following robot system applying virt...

引用

3rd international conference on Image Processing and robotics, ICIPRoB 2024

作者： Takemori, Fumiaki Tottori University Faculty of Engineering Dept. of Electrical Engineering and Computer Science Tottori Japan

ISBN: (纸本)9798350374766

This paper develops an implementation of a measurement and control system in which a vehicle follows its predecessor while maintaining a certain distance. First, we construct a model that virtually delays the reference coordinates of the leading target backwards, and propose a control law that follows the steering angle of the following vehicle to that virtual delay point. Next, a range sensor is used to detect the position and orientation of the leader, and the position and orientation is estimated using a template matching method based on the person's body contour point group measured by the sensor. Finally, the effectiveness (including robustness) of the proposed system is demonstrated in some simulations and human tracking experiments. © 2024 IEEE.

关键词： Template matching

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Image Classification Method to Identify Mature Coconut 3

Image Classification Method to Identify Mature Coconut

引用

3rd international conference on Image Processing and robotics, ICIPRoB 2024

作者： Adikaram, K.K.L.B. Senevirathna, A.M.N.N. Wijesinghe, W.P.P.M. Premachandra, Chinthaka University of Ruhuna Computer Unit Faculty of Agriculture Sri Lanka Shibaura Institute of Technology Department of Electronics Engineering Japan University of Wayamba Department of Biosystems Engineering Sri Lanka

ISBN: (纸本)9798350374766

This study focuses on developing an automated image classification method to identify mature coconuts, a critical phase in coconut harvesting. By emulating the technique of expert coconut pickers who assess color and texture, our goal is to revolutionize the industry, enhancing efficiency, reducing labor costs, and mitigating environmental impact. The preliminary model developed using Teachable Machine an established image classification software tool showed highly promising results in the identification of mature coconuts. © 2024 IEEE.

关键词： Image classification

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