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Role of Cobots over Industrial Robots in Industry 5.0: A Review 2

Role of Cobots over Industrial Robots in Industry 5.0: A Rev...

2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2023

作者： Sahan, A.S. Mohamed Kathiravan, S. Lokesh, M. Raffik, R. Department of Mechatronics Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (纸本)9798350306811

Cobots, commonly referred to as collaborative robots, are a new type of robots that securely collaborate with human workers. Cobots are intended to be flexible, simple to program, and less expensive to buy than conventional industrial robots. Cobots are now being utilized more often in a variety of industries, particularly in small and medium-sized businesses where they are used for activities including assembly, pick and place, and packing. In industrial automation, cobots play a complimentary role to industrial robots. Cobots have the capability to work cooperatively with human employees in more complicated and dynamic environments, whereas industrial robots are best suited for repetitive and labor-intensive activities. Cobots are also a more affordable and widely available substitute for conventional industrial robots, which require specific maintenance and operation expertise. Cobots are thus turning into a crucial part of the modern manufacturing floor, allowing businesses to become more effective and competitive while protecting the safety and well-being of their employees. Even so, as more businesses become aware of the advantages cobots provide, their role in industrial automation is expected to expand. Cobots have the potential to revolutionize the industrial sector and make it possible to build more effective and environmentally friendly factories due to their adaptability, safety, and usability. This review paper analyses the advantages of cobots over traditional industrial robots, including increased safety, flexibility, and cost-effectiveness. The paper also examines the current state of cobot technologies and explores potential future developments in the sector. © 2023 IEEE.

关键词： Industrial robots

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Unsupervised anomaly detection in the textile texture database

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Microsystem Technologies 2024年第12期30卷 1609-1621页

作者： Chu, Wen-Lin Chang, Qun-Wei Jian, Bo-Lin Department of Bio-industrial Mechatronics Engineering National Chung Hsing University Taichung402202 Taiwan Department of Electrical Engineering National Chin-Yi University of Technology Taichung411030 Taiwan

Anomaly detection in textile images poses significant challenges due to the scarcity of defective samples and the complex nature of textile textures. This study presents a novel image processing workflow that enhances the unsupervised Variational Autoencoder’s (VAE) ability to identify anomalies in textile images, addressing the limitation of insufficient defective samples in real-world manufacturing scenarios. The primary motivation behind this research is to develop a robust anomaly detection method that can be trained using only normal samples, overcoming the common imbalance between normal and defective samples in the textile industry. Our proposed method introduces domain-specific techniques to preprocess images, assess the adequacy of training samples, and employ intuitive visual methods to differentiate between normal and abnormal samples. A key strength of our approach lies in strategically cropping original images into smaller blocks, increasing training samples and computational efficiency. However, this cropping step introduces abrupt boundary issues that can hinder accurate anomaly detection. To mitigate this problem, we developed a refined image processing approach that effectively resolves boundary artifacts, enabling precise localization of abnormal regions. We trained, tested, and validated our VAE model using the TILDA textile texture database. The experimental results highlight the robustness of our method, achieving high identification rates of 74% for normal samples and 76.9% for abnormal samples, even when trained solely on normal samples. The insights gained from this study have significant implications for the textile industry, paving the way for more efficient and reliable quality control processes. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Textures

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Development and Practice of Ball Sports Robotics System Based on Competition-Integrated Teaching 12

Development and Practice of Ball Sports Robotics System Base...

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12th IEEE International Conference on engineering Education, ICEED 2023

作者： Jiang, Yu Zeng, ZhaoYang Liu, Lu School of Mechatronics Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350307429

Currently, there are 301 robotics engineering programs in universities across the country. With the development of robotics majors in higher education institutions, universities have begun to combine engineering maker ideas with robotics technology to carry out corresponding higher engineering education. This paper extends and improves the robotics technology practice course in Harbin Institute of technology's engineering Innovation Practice Center. Based on the competition-integrated teaching model, it demonstrates the development of a ball sports robotics teaching system and competition assessment methods. The practice goal is set as the competition tasks, and the self-developed robotics teaching system and processing equipment are used to achieve practical results as well as to cultivate students' ability to learn independently through practice. This paper aims to build a coordinated and unified system with distinctive features, incorporating education, competition, intelligence, and innovation, and to cultivate a large number of engineering makers among the new generation of university students. © 2023 IEEE.

关键词： Robotics

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Averaged EMG Profile and Artificial Neural Network Based Walking Speed Estimation by GAIT Analysis 8

Averaged EMG Profile and Artificial Neural Network Based Wal...

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8th IEEE International Conference on engineering Technologies and Applied Sciences, ICETAS 2023

作者： Palaniappan, Rajkumar Nataraj, Sathees Kumar Ismail, Ziyad Noaman, Noaman M College of Engineering University of Technology Bahrain Department of Mechatronics Engineering Salmabad Bahrain

ISBN: (纸本)9798350327090

The data from an electromyogram (EMG) reveal the degree of muscle activation. In the fields of biomedicine, clinical practice, rehabilitation, and human-machine interface, EMG signals are becoming more and more valuable. Advanced technologies can be built for a variety of applications based on the features that are derived from the EMG signals. to create an artificial neural network model that uses EMG gait analysis to reliably estimate walking speeds. Using EMG signals, the Artificial Neural Network (ANN) may be used to accurately estimate walking speed. In this work, the neural network was trained using characteristics derived from averaged EMG profile data obtained from EMG signals from 14 muscles of 20 people at 5 different walking speeds. To determine the walking pace, a multilayer feed forward network model with a backpropagation method was created. The maximum, mean, and minimum accuracies of the developed model were determined to be 95.45%, 92.15%, and 80.0%, respectively. The estimated walking speeds using the suggested model were found to be satisfactory;however, the results might be improved to 100% by removing additional features. © 2023 IEEE.

关键词： Neural networks

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Construction of an engineering Innovative Practice Center Based on the Integration of Industry and Education 12

Construction of an Engineering Innovative Practice Center Ba...

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12th IEEE International Conference on engineering Education, ICEED 2023

作者： Pan, Xudong Huo, Hong Peng, Bo Zeng, Zhaoyang Li, Yuefeng School of Mechatronics Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350307429

Since the arrival of a new active period of scientific and technological innovation, society and industry have proposed higher requirements for engineering education. To meet the current needs of engineers through the integration of industry and education as a social linkage mechanism with complementary advantages, an engineering Innovation Practice Center for the new era has been built to promote cross disciplinary and cross-professional integration. An overall course design system for has been constructed for engineering practice for teenagers, undergraduates, and master's levels. The diversified and multi-level characteristic development patterns of practical engineering education were explored in this process. © 2023 IEEE.

关键词： engineering education

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Design and Fabrication of Smart Inspection System for Industrial Products Using ML Algorithm

Design and Fabrication of Smart Inspection System for Indust...

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2023 International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023

作者： Indirapriyadharshini, J. Santhiya, S. Poorva Shandru, S. Stanely, G. Sri Krishna College of Engineering and Technology Department of Mechatronics Engineering Coimbatore India

ISBN: (纸本)9798350300857

Industrial 4.0 is revolutionizing the world including robotics, nanotechnologies etc., Still detecting defects on parts has a significant challenge to solve. The manufacturing factories and distribution centres have complex technologies for inspection of the products and packaging process. Especially the food and clothing industries have to deeply investigate the defects. Conventional inspection systems implement physical inspection techniques to find defects in the product which may have a chance to affect the final product. In some test methods only relatively non-porous surfaces can be inspected and in some cases, this can be affected by variations in magnetic permeability. A well-achieved visual inspection provides a reduction in the amount of repairs and overcomes the above-mentioned problems in the inspection system. By simply presenting the inspection system with several model images, deep learning enables it to learn to detect surface anomalies. The device which works on the concept of Deep Learning based image analysis for factory automation is our proposed theme. To train the machine, sample image sets are given. This can be made customized as data sheets are given to the software. Hence, the proposed system can be customizable according to the product dimensions. © 2023 IEEE.

关键词： Inspection

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Research on IIoT Cloud-Edge Collaborative Stream Processing Architecture for Intelligent Factory 9

Research on IIoT Cloud-Edge Collaborative Stream Processing ...

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9th IEEE Smart World Congress, SWC 2023

作者： Lee, Ruizhi Zhang, Mingyang Yan, Jihong Harbin Institute of Technology School of Mechatronics Engineering Heilongjiang China

ISBN: (纸本)9798350319804

Intelligent factories (IF) represented by unmanned workshops and light out workshops point out the development direction of future industrial production which is known as Industrial Internet of Things (IIoT) and cloud-edge collaborative services. IIoT must concurrently send various types of data in real time to the cloud for adequately analyzing and processing the data to support the intelligent decision-making needs of IF, which makes massive highly concurrent heterogeneous data streams. The traditional IIoT platform of directly connecting devices to the cloud, which cannot satisfy the high concurrency heterogeneous data stream transmission requirements of IF, result in data loss and high latency. In this article, cloud-edge collaborative stream processing architecture is proposed for efficiently processing high concurrency heterogeneous data streams generated by IIoT in the production process with reliable, confidential, and low latency data transmission from devices to edges and clouds. The real-time display of AGV status and workshop environment through the cloud-edge collaborative stream processing platform prototype system has demonstrated that the latency of data stream transmission processing is millisecond level, fully satisfying the practical application requirements of IF. © 2023 IEEE.

关键词： cloud-edge collaboration industrial internet of things intelligent factory stream processing

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Calculation Model for the Steady-State Vibration Amplitude of a New Type of Cascaded Composite Structure-Based Ultrasonic Transducer

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Nanomanufacturing and Metrology 2023年第3期6卷 91-99页

作者： Hongjie Zhang Xinyue Gao Xiaochen Liu Junqiang Wu Tianjin Key Laboratory of Modern Mechatronics Equipment Technology School of Mechanical EngineeringTiangong UniversityTianjin300387China

The steady-state vibration amplitude is an important performance indicator of high-frequency ultrasonic transducers for ultrasonically assisted manipulating,machining,and *** work aimed to develop a calculation model for the steady-state vibration amplitude of a new type of dual-branch cascaded composite structure-based ultrasonic transducer that can be used in the packaging of microelectronic ***,the steady-state vibration amplitude of the piezoelectric vibrator of the transducer was derived from the piezoelectric ***,the vibration transfer matrices of the tapered ultrasonic horns were obtained by combining the vibration equation,the continuous condition of the displacement,and the equilibrium condition of the *** models for the steady-state vibration amplitude of the two working ends of the transducer were then developed.A series of exciting trials were carried out to test the performance of the *** between the calculated and measured results for steady-state vibration amplitude showed that the maximum deviation was 0.0221μm,the minimum deviation was 0.0013μm,the average deviation was 0.0097μm,and the standard deviation was 0.0046μ*** values indicated good calculation accuracy,laying a good foundation for the practical application of the proposed transducer.

关键词： Piezoelectric ultrasonic transducer Thermosonic bonding Microelectronic packaging Composite structure

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Sustainable Energy-Based Voice-Controlled Home Automation Using IoT

Sustainable Energy-Based Voice-Controlled Home Automation Us...

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2023 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2023

作者： Suvro Kumar Biswas, Sree Sarkar Singdha, Arpita Talukder, Labanya Rahman, Md. Hafizur Das, Prangon Islam, Md. Manirul Rajshahi University of Engineering and Technology Department of Mechatronics Engineering Rajshahi1204 Bangladesh

ISBN: (纸本)9798350347494

Home automation has become an integral part of our daily lives and has evolved since our inception to bring feasibility and compatibility to our homes and workplaces. The basic foundation of home automation is the ability to control lights, fans, kitchen utensils, etc., automatically. Google Home, Amazon Echo, and Apple Home Kit are the most widely used home automation systems. This document will build a voice-enabled home automation project that is both efficient and cost-effective. Using WI-FI and IOT, it can be remotely controlled and monitored using an Android device. We use sustainable energy to power microcontrollers to minimize costs and build environmentally friendly projects. Ordinary home appliances are used to implement the system. The Google Assistant receives natural language voice commands, which are converted and sent to the microcontroller via the IFTTT (If This Then That) and Blynk applications. The microcontroller then controls the relays that are connected as needed and turns the devices connected to each relay on or off in response to a request from the user to Google Assistant. For connection between the microcontroller and the application (Internet), a Node-MCU (ESP8266), including a Wi-Fi module, is used. Using sustainable energy in this project restores the energy supply, eliminates carbon dioxide emissions and maximizes energy efficiency. © 2023 IEEE.

关键词： Microcontrollers

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Investigate the aluminium 1050-H4 microstructure, hardness, and wear characteristics when reinforced with maize cob particles 13

Investigate the aluminium 1050-H4 microstructure, hardness, ...

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13th Global Conference on Materials Science and engineering, CMSE 2024

作者： Pita, M. Lebea, L. Department of Mechanical Bioresources and Biomedical Engineering Faculty of Engineering and Technology University of South Africa South Africa Department of Mechanical Engineering and Mechatronics Faculty of Engineering Built and Technology Central University of Technology South Africa

One of the effects of creating composite materials, which are classified as advanced materials, is a change to their mechanical properties. In this study, the effect of reinforcing aluminium 1050-H4 using corn-cob particles were investigated. Prior to being examined using scanning electron microscopy (SEM), the corn cob was crushed and milled in the experiment using a Aimil machine. The hardness, microstructure and wear behavior test were carried out. The aluminium alloy reinforced with corn cob particles of two distinct diameters, © Published under licence by IOP Publishing Ltd.

关键词： Microstructure

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