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proceedings of 2024 lEEE international conference on Advanced Information, Mechanical Engineering, robotics and automation, AIMERA 2024

Proceedings of 2024 lEEE International Conference on Advance...

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2024 lEEE international conference on Advanced Information, Mechanical Engineering, robotics and automation, AIMERA 2024

ISBN: (纸本)9798350343335

The proceedings contain 58 papers. The topics discussed include: reconstruction of residual stress fields on workpiece surface using surrogate models;patent recommendation methods based on transformer encoders and regularization strategies;development of deep learning-based for hot-rolled seamless steel pipes' outer surface defect recognition system;a patent fast recommendation algorithm based on user requirements combined with an inverted table;thickness measurement of alloy steel carburizing layer based on laser ultrasonic;a novel strategy of additional tension optimization for strip tandem cold rolling enabled by artificial intelligence;design and test of power chassis for small tracked sand barrier placing vehicle;planning research and simulation analysis of distributed generation in distribution network;and high speed laser stripe extraction method for measuring strip flatness using linear structured laser.

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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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Empathy in robotics: Empowering Emotional Connections in Human-Robot Interaction 4

Empathy in Robotics: Empowering Emotional Connections in Hum...

引用

4th international conference on Industrial automation, robotics and Control Engineering, IARCE 2024

作者： Grig, Aliya Evolwe Inc. Delaware19808 United States

ISBN: (纸本)9798350380323

Through a comprehensive review of literature and empirical studies, the study aims to analyze the importance of empathy in HRI, identify key components of empathetic interactions, and propose strategies for enhancing empathetic capabilities in robots. The paper will now include a detailed description of the experimental setup used to evaluate the emotion recognition model, specifying architecture, training parameters, and performance metrics. Incorporating empathetic features in robots leads to more engaging interactions, fostering trust, social bonding, and cooperation. The findings underscore the necessity of concrete ethical frameworks and solutions to address challenges associated with empathetic AI systems. © 2024 ieee.

关键词： Microrobots

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ICAC 2024 - 29th international conference on automation and Computing

ICAC 2024 - 29th International Conference on Automation and ...

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29th international conference on automation and Computing, ICAC 2024

ISBN: (纸本)9798350360882

The proceedings contain 120 papers. The topics discussed include: wind turbine blade imbalance monitoring using PMSG electrical signals;a review of the EoL EV batteries sorting and disassembly challenges;evaluation of straightness errors of cylindrical workpiece using the minimum zone method;characterizing the orthogonal outputs of an on-rotor sensing vibration node for efficient condition monitoring of electric motors;systolic array architecture for multitasking neural processing unit;multi-feature enhancement and adaptation for lightweight human behavior recognition;ai-powered thermal comfort: predicting indoor air temperature for efficient HVAC systems;dual data and mechanism based prediction model for photovoltaic modules;and GuKang, a reliable dataset for multi-source Chinese orthopedic rehabilitation.

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Active Elastomer Control System for the Soft Exoskeleton with Distributed Force Sensors

Active Elastomer Control System for the Soft Exoskeleton wit...

引用

2024 international Russian automation conference, RusAutoCon 2024

作者： Yatsun, Andrey Malchikov, Andrei South-West State University Robotics Dept. Kursk Russia Department of Mechanics Mechatronics and Robotics South-West State University Kursk Russia

The article considers a soft exoskeleton for industrial use equipped with an active elastomer. The article describes the features of the implementation of the design of the assisting device and the principles of operation. A mathematical model is proposed to describe the dynamics of the controlled movement of a human-machine system when lifting a load. The structure of the control system and the sensing system, including distributed force sensors integrated into the exoskeleton mounting system, are presented. The numerical results of modeling of a soft exoskeleton control system are obtained, showing the features of the generating of an assistive force in the processes of performing the exercise and proving the applicability of the proposed algorithms of the system. © 2024 ieee.

关键词： Exoskeleton (robotics)

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Optimizing Energy Efficiency in Home PV Systems through MPPT and Converter Control 3

Optimizing Energy Efficiency in Home PV Systems through MPPT...

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

作者： Hossain, Md Ismail Komar Shib, Sowrov Dipto, Durjoy Roy Rahman, MD Tanvir Banik, Tanay Shufian, Abu American International University-Bangladesh Dept. of Electrical & Electronic Engg Dhaka Bangladesh

ISBN: (纸本)9798331534400

Integrating solar photovoltaic (PV) systems into the energy grid has garnered significant attention due to its potential to mitigate environmental concerns and meet the escalating energy demands. This research presents a comprehensive design approach for a boost converter-based control system to regulate the power output of a solar PV system. The study addresses critical considerations such as the arrangement of solar panels to achieve desired power ratings, implementation of maximum power point tracking (MPPT) algorithms, and operation in voltage control mode. The DC load is connected to the boost converter output, allowing the solar PV system to operate in MPPT and de-rated voltage control modes. The designed control algorithm has been successfully implemented in a 2.03 kW small-scale PV system, and performance is evaluated based on both controllers output voltage regulation. Based on the findings, MPPT outperforms voltage control strategies. Smooth voltage swings were observed to maintain a steady DC output at 410 V. Additionally, the current vs time graph illustrates that prolonged solar panel exposure correlates with higher output when under MPPT control. This study contributes to advancing solar PV system design and control strategies, offering insights for researchers and practitioners in renewable energy technology. © 2024 ieee.

关键词： Solar concentrators

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Lower Limb Exoskeleton Gait automation Modelling

Lower Limb Exoskeleton Gait Automation Modelling

引用

2024 international Russian automation conference, RusAutoCon 2024

作者： Jatsun, Sergey Yatsun, Andrey Pechurin, Alexander South-West State University Department of Mechanics Mechatronics and Robotics Kursk Russia

The paper deals with the creation of a lower limbs exoskeleton based on the method of decomposition of complex motion of the human lower limb system. This method allows to break down the complex motion of the walking system into simpler components, motion in the sagittal plane and frontal plane, which facilitates the process of exoskeleton control and increases its efficiency. In this research, a prototype exoskeleton capable of realizing spatial motion with high accuracy and coordination was developed. For this purpose, classical approaches of kinematics description, advanced control algorithms based on the principles of feedback and optimal control were used. The experiments conducted and the results analyzed showed significant improvements in user mobility and comfort, as well as prospects for further development of this technology in the field of medical rehabilitation and everyday use. © 2024 ieee.

关键词： Exoskeleton (robotics)

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Decentralized Data Collection via Swarm Contracts: Study on Crowd-Sourced Google Maps 9

Decentralized Data Collection via Swarm Contracts: Study on ...

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9th international conference on Control, automation and robotics (ICCAR)

作者： Mallikarachchi, Sanjaya Ho, Bonnie Kanj, Iyad Seneviratne, Oshani Godage, Isuru S. DePaul Univ Sch Comp Jarvis Coll Comp & Digital Media Chicago IL 60614 USA Rensselaer Polytech Inst Dept Comp Sci Troy NY USA Texas A&M Univ Dept Eng Tech & Ind Distribut College Stn TX USA Texas A&M Univ J Mike Walker 66 Dept Mech Engn College Stn TX USA

ISBN: (纸本)9798350322514

"Data is the new oil" has become a popular catch-phrase in the world of technology, emphasizing the immense value of data in today's digital age. Most services and platforms rely on data, but collecting this data can be challenging and costly. To address this issue, we leverage a novel distributed crowdsourcing framework - termed Swarm Contracts - that utilizes blockchain and is applied to robotics technologies. The framework encourages an incentivized crowdsourcing model through open-source robots and a secure, decentralized, and transparent blockchain-based incentive system. As a demonstration of the framework's capabilities, we use it to collect Google Street View((R)) map data, which can be a resource-intensive task to keep up to date using traditional centralized methods. Our Swarm Contract framework uses Google Street View((R)) Publish API, which allows for the contribution of street view data to Google Maps((R)) to implement the incentive-based crowdsourcing of street view images. By incorporating a swarm contract-powered framework with the Google Street View((R)) Publish API, we show that the incentivized crowdsourcing of street view data can be a practical solution to maintain accurate and up-to-date Google Street View((R)) maps.

关键词： Cyber-Physical Systems Swarm robotics Smart Contracts Blockchain-based crowd-sourcing

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Enhancing Autonomous robotics Through Cloud Computing

Enhancing Autonomous Robotics Through Cloud Computing

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2024 ieee international conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2024

作者： Subramaniam, Arjun Prajapati, Deep Harshad Alremeithi, Khalifa Sealy, Winston School of Engineering Technology Purdue University West Lafayette United States

ISBN: (纸本)9798350353464

This paper presents a comprehensive study on the integration of Cyber-Physical Systems (CPS) and the Industrial Internet of Things (IIoT), with a focus on cloud-based swarm robotics systems for virtual commissioning. Utilizing Pololu Romi robots equipped with Lidar sensors and leveraging advanced SLAM algorithms from ROS2, the research explores the enhancement of robotics autonomy and coordination through cloud computing. The study emphasizes the significance of digital twins in testing and refining swarm strategies, reducing operational risks and commissioning resources. The adoption of Docker and Portainer for efficient container orchestration and GitLab for a robust CI/CD framework underlines the application of cutting-edge methodologies in virtual commissioning. The paper highlights the practical implications of digital twins and containerization in industrial robotics, showcasing scalability and efficiency in swarm deployment. Moreover, it contributes to the discourse on cloud computing and IoT in advancing robotic autonomy. Through a systematic investigation, the paper outlines the technological architecture, virtual commissioning processes, and the operational effectiveness of the explored cloud-based swarm robotics system, marking a significant stride in the field of industrial automation and robotics. ©2024 ieee.

关键词： SLAM robotics

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Rotational Symmetric Circular Split-Ring with Inductive Tail-Shaped Microwave Metamaterial Absorber for Aeronautical Radionavigation Applications 3

Rotational Symmetric Circular Split-Ring with Inductive Tail...

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

作者： Chowdhury, Shubho Ray Ray Chowdhury, Apurba Islam, Tafhimul Hossain, Safayat Maimuna, Nazifa Khan, Md Mohsin University of Connecticut School of Mechanical Aerospace and Manufacturing Engineering CT06269 United States Department of Electronic and Telecommunication Engineering Chattogram Bangladesh American International University-Bangladesh Department of Industrial & Production Engineering Bangladesh

ISBN: (纸本)9798331534400

In this paper, a rotational symmetric, circular split-ring with an inductive tail-shaped microwave metamaterial absorber was proposed at resonance frequencies of 9.63 GHz, 11.14 GHz, 13.25 GHz, and 15.48 GHz for Aeronautical Radionavigation Applications. It shows an efficient result having single negative (SNG) metamaterial properties and subwavelength properties with maximum absorptions of 99.9%. The proposed design presented a significant improvement in absorption in broad incident angle polarization compared to other relative works. Moreover, the size of the proposed absorber is smaller than that of other works, which provides a good effective medium ratio (EMR) and can be easily placed in electronic devices, mainly in sensors. It is insensitive at wide co- and cross-polarizing angles of incident EM waves because it can absorb EM waves falling at different angles, i.e., 0 to 180 degrees, which benefited the absorber to apply it in other fields as well, like in Biomedical (Hyperthermia), Radar, Satellite (Ku Band), Defense and EMI/EMC reduction, polarization detectors, etc. We also analyzed the absorption with a proper RLC circuit designed on the basis of the surface current while showing absorption in each particular frequency. Further, this research can be expanded in the direction of beamforming with the integration of pin diode into the patch of the metamaterial absorber. © 2024 ieee.

关键词： Beam forming networks

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