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检索条件"任意字段=International Conference on Advances in Science, Engineering and Robotics Technology"

共 48226 条记录，以下是1481-1490 订阅

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Color and Defect Detection in Industry Automation for Real Time Intelligent Product Sorting 3

Color and Defect Detection in Industry Automation for Real T...

引用

3rd IEEE international conference on Device Intelligence, Computing and Communication Technologies, DICCT 2025

作者： Rajkumar, Sujatha Nirgude, Shreyas Kulkarni, Ashwin Anil Sumathi, G. Abdi, Hamid School of Electronics Engineering Vellore Institute of Technology Vellore India Science Engineering and Built Environment Deakin University Waurn Ponds campus Australia

ISBN: (纸本)9798331543358

This paper presents a real-time object sorting system that classifies objects based on color and detects surface defects in an intelligent manner for multi-purpose application like autonomous vehicles, supply chain, robotics and so on. The proposed system uses state-of-the-art camera module to capture images of objects and processes them through computer vision to classify items based on color and defect status. The captured images are compared against a custom dataset of labeled samples to ensure accuracy. Based on performance metrics, the intelligent CNN algorithm demonstrates superior classification accuracy compared to RFC, especially in complex scenarios. The edge processor module controls sorting mechanism, where servos actuate to direct objects into designated bins based on classification results. The research work illustrates exploring the potential of machine learning algorithm in automated quality assurance, offering scalable, adaptable, and efficient solutions for industrial applications. © 2025 IEEE.

关键词： Reliability analysis

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Design of Third Spring Decoupling Suspension System 3

Design of Third Spring Decoupling Suspension System

引用

3rd international conference on Control and Intelligent robotics, ICCIR 2023

作者： Zhou, Jing He, Silong Beijing Institute of Technology PA Zhuhai519000 China

ISBN: (纸本)9781510671867

A new design of the suspension system, the third spring decoupling suspension, is made to improve the handling stability and ride comfort of formula student racing. According to the requirements of race rules[1], the suspension performance parameters were calculated combined with the basic parameters of related racing cars. Based on CATIA software, three-dimensional design and assembly of suspension components were carried out. And the dynamics simulation analysis and optimization of the suspension system were carried out to further improve the performance of the racing car based on ADAMS software. © 2023 SPIE.

关键词： System stability

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Optimization of Microbial Fuel Cells: Enhancing Electrical Output Through Gradient-Based Optimization 6

Optimization of Microbial Fuel Cells: Enhancing Electrical O...

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6th international conference on robotics and Automation in Industry, ICRAI 2024

作者： Mehmood, Hassan Zafar, Tayyab Kamal, Khurram Aun Rizvi, Syed Muhammad Ratlamwala, Tahir National University of Sciences and Technology Department of Mechatronics Engineering Islamabad Pakistan Department of Engineering Science Islamabad Pakistan

ISBN: (纸本)9798350355703

Microbial Fuel Cells (MFCs) are environment-friendly devices to generate energy through microbial metabolism of the chemical energy of organic compounds. Few of the critical challenges of implementing MFCs are their low power density, high internal resistance, and poor electron transport. These factors are major drawbacks to the MFCs efficiency and ability to scale up MFCs. The proposed work aims to enhance the MFC performance by optimizing the proportions of key operational parameters to overcome the implementation challenges. These parameters include Substrate Concentration (S), Anodophilic Biomass (xa), Methanogenic Biomass (x/m), and Oxidized Mediator (M/ox). The parameters are optimized using a Gradient Based Optimization (GBO). During the optimization process, it was imperative to establish a sound mathematical model that predicted MFC's biological and physical behavior. With the implementation of the GBO algorithm, the output current is enhanced by 8. 89 percent. The results shows that promising future of the proposed method. © 2024 IEEE.

关键词： Anodophilic Biomass Bioelectrochemical Systems Gradient-Based Optimization Methanogenic Biomass Microbial Fuel Cells Oxidized Mediator Substrate Concentration Sustainable Energy

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AMR Navigation Based on Dynamic Control Sampling Space

AMR Navigation Based on Dynamic Control Sampling Space

引用

2023 international conference on advances in Electronics, Control and Communication Systems, ICAECCS 2023

作者： Bouraine, Sara Hasani, Idriss Djoudi, Alla Gourine, Ahmed Kazed, Boualem Center for Development of Advanced Technologies Division Robotics and Industrial Automation Baba Hassen Algeria University BLIDA-1 Electronic and Automation Department Blida Algeria University of Science and Technology Houari Boumedienne Bab ezzouar Algeria

ISBN: (纸本)9781665463102

This paper addresses the problem of local navigation for autonomous mobile robots in partially observable dynamic environments. The main contribution of this work is the expansion of a sampling based approach to deal with the robot and environment dynamic constraints and integrate a safety distance to keep the robot away from collisions. The developed algorithm has been implemented on a robotic platform with a Robot Operating System based embedded architecture, where it has been tested and validated in an indoor environment. © 2023 IEEE.

关键词： Navigation

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Assessing the Applicability of Adversarial Machine Learning Approaches for Cybersecurity 2

Assessing the Applicability of Adversarial Machine Learning ...

引用

2nd international conference on advances in Computation, Communication and Information technology, ICAICCIT 2024

作者： Takkalapally, Prashamsh Sharma, Nandan Jaggi, Arjun Hudani, Karim Gupta, Ketan Natarajan, Yuvaraj Department of Engineering Computing and Mathematical Sciences Lewis University United States Senior Security Analyst BC Public Service VictoriaBC Canada HCLTech San DiegoCA United States Tampa FL United States Dept. of Information Technology University of The Cumberlands WilliamsburgKY United States Department of Computer Science Engineering Sri Shakthi institute of engineering and technology Tamil Nadu Coimbatore India

ISBN: (纸本)9798331541217

Adverse machine learning (AML) is a rising area of study that uses system-mastering algorithms to perceive malicious hobbies or to discover malicious adversaries in cybersecurity settings. This research domain combines device-gaining knowledge with game principles to assess and expect the behavior of adversaries. This paper discusses the capacity of using AML tactics for cybersecurity and provides an overview of existing research study findings and safety literature to help the dialogue. Specifically, the paper investigates the security challenges posed by using AML techniques, together with the technical regulations and pointers, to ensure their relaxed and effective deployment. Moreover, the paper offers recommendations and future instructions for furthering studies on AML in cybersecurity. Typical, the evaluation highlights the significance of assessing the applicability of AML techniques for security applications, in addition to its capability to enhance the effectiveness of security systems. © 2024 IEEE.

关键词： Adversarial machine learning

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Fractional Kelvin-Voigt based Viscoelastic Control for self-Balancing Exoskeleton

Fractional Kelvin-Voigt based Viscoelastic Control for self-...

引用

2023 IEEE international conference on robotics and Biomimetics, ROBIO 2023

作者： Li, Wentao Li, Feng Yang, Ming Li, Jinke Li, Ming Zhu, Yuanpei Yin, Meng Tian, Dingkui Wu, Xinyu Southern University of Science and Technology Department of Electronic and Electrical Engineering Shenzhen518055 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518005 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen518005 China University of Science and Technology of China Hefei230026 China

ISBN: (纸本)9798350325706

Self-balancing exoskeleton robots enable hands-free walking for the wearer, and the problem of its stable walking has been a challenge. In this paper, to achieve compliant and stable walking of a self-balancing exoskeleton robot and reduce the shock between the robot and the ground, we propose a new fractional kelvin voigt viscoelastic controller (FKVC). The proposed FKVC incorporates the advantages of fractional order and the kelvin voigt viscoelastic to endow the self-balancing exoskeleton with stable and dynamic walking capabilities. Simulation results show that the actual CoM position of the exoskeleton well tracks the reference CoM position, and the actual ZMP converges to the reference ZMP position. The ZMP is always within the effective support region of the biped. Therefore, we experimentally proved the practicality and effectiveness of the FKVC method, and the self-balancing exoskeleton successfully realizes stable dynamic walking. © 2023 IEEE.

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Advantages and Challenges of Utilizing RFID technology 15

Advantages and Challenges of Utilizing RFID Technology

引用

15th international conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Dhabliya, Dharmesh Amudha, A. Kaur, Ashmeet Gayathri, C. Garg, Anvesha Vivek, V. Vishwakarma Institute of Information Technology Department of Information Technology Maharashtra Pune India Karpagam Academy of Higher Education Department of Electrical and Electronics Engineering Coimbatore641021 India Research Impact and Outcome Chitkara University Centre of Rajpura Punjab 140417 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Science and Humanities Chennai127 India Quantum University Research Center Quantum University India School of Engineering and Technology Computer Science and Engineering Karnataka Bangalore India

ISBN: (纸本)9798350370249

Radio Frequency identity (RFID) is a rising technology that uses radio waves to become aware of and tune gadgets. With advances in hardware and software, RFID technology gives many blessings to agencies by means of growing facts accuracy, improving asset tracking, inventory management, and different procedure automation. However, no matter the diverse blessings it could provide, there are several challenges that businesses have to consider while implementing the RFID era. Those demanding situations encompass capability security and privacy worries, technical complexity, price, and interference from other RF indicators. To capitalize on the advantages of RFID, agencies must carefully weigh the advantages against the potential risks to decide the end goals and whether RFID is the most viable solution. © 2024 IEEE.

关键词： Accuracy Advantages Agencies Automation Demanding Implementing Improving Indicators

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Semantic-Enhanced Path Planning for Safety-Centric Indoor Robots Navigation 10

Semantic-Enhanced Path Planning for Safety-Centric Indoor Ro...

引用

10th international conference on Automation, robotics, and Applications, ICARA 2024

作者： Omer, Karameldeen Torta, Elena Monteriu, Andrea Università Politecnica delle Marche Department of Information Engineering Ancona Italy Eindhoven University of Technology Department of Mechanical Engineering Eindhoven Netherlands

ISBN: (纸本)9798350394245

This paper presents an innovative approach for indoor mobile robot navigation, focusing on environments like Ambient Assisted Living spaces (AAL), smart homes, and factories, where humans and robots coexist. The need for effective space and traffic management in these areas is critical for ensuring safety and mobility. Our novel Semantic Path Planning algorithm improves upon traditional grid mapping by using a multi-dimensional array in the map file, where varying intensities indicate occupancy levels. The planner imposes penalties on free cells near specific static objects based on user preferences, facilitating autonomous robot movement in designated areas without creating rigid barriers. A standout feature of our algorithm is its ability to prioritize specific zones frequented by vulnerable groups like the elderly, or areas designated for rest, pets, or children's play. By enhancing the A∗ path planner with semantic and geometric data, our approach enables the management of these zones, leading to a comprehensive grid map for optimal path-finding. Moreover, this methodology is promising for multi-robot systems with differing navigation abilities and access rights. It also improves robot localization by focusing on unique environmental landmarks, thereby enhancing tracking accuracy and aiding in swift localization recovery. This approach is ideal for safe, efficient, and context-aware navigation in dynamic shared human-robot environments. © 2024 IEEE.

关键词： Semantics

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Corrosion deterioration of suspension bridge cable wires-case study

Corrosion deterioration of suspension bridge cable wires-cas...

引用

international conference on Innovation and Technological advances for Sustainability, ITAS 2023

作者： Ibrahim, Abdulwahab Macintyre, Scott Mechanical Engineering University of Doha for Science and Technology Doha Qatar Forensic & Metallurgical Engineering Atlantic Metallurgical Consulting Dartmouth Canada

ISBN: (纸本)9781032803722

Corrosion is a natural process that has a significant impact on our life. The negative impact of corrosion covers economy, security, infrastructure, energy, environment, health, and safety. Infrastructure corrosion deterioration is influenced not only by the materials used or the construction technique, but also by the effect of climate change and environmental variables over the structure’s life cycle. Bridges failures are frequently costly in terms of lost business, fatalities, environment, and the replacement costs required to reconstruct the damaged bridges. Increased service life and efficiency are necessary to accomplish and improve the sustainability of steel-constructed bridges. Corrosion and corrosion failures have a significant impact on the durability of steel structures such as bridges. In this paper, a corrosion failure case study is presented. A suspension bridge shows signs of corrosion on the wrapping protection wires and the cable wires. The investigation involved visual examination, chemical analysis of the corrosion product, metallographic analysis, SEM, and EDS analysis. It is found that the deterioration of the protective galvanized is related to the chloride containing environment. The corrosion process started as pitting and eventually cracking and final failure. © 2025 The Author(s).

关键词： Suspension bridges

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Effective Control of Unmanned Aerial Vehicles Based on Reward Shaping 6

Effective Control of Unmanned Aerial Vehicles Based on Rewar...

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6th international conference on robotics, Control and Automation engineering, RCAE 2023

作者： Kong, Shengqi Li, Minne Zhou, Yuan Wang, Zhiyuan College of Computer Science and Technology National University of Defense Technology Changsha China Intelligent Game and Decision Lab IGDL Beijing China

ISBN: (纸本)9798350315301

The autonomous control of unmanned aerial vehicles (UAVs) presents a challenging problem in the field of control. Conventional autopilot designs utilize single-input, single-output (SISO) controllers, such as PID controllers, which may become unstable under certain conditions. To overcome these limitations, researchers have explored the use of reinforcement learning (RL) algorithms in UAV control. This paper reviews related works in the field and proposes a study to evaluate the impact of shaping rewards based on aircraft attitude on the effectiveness of UAV control. We investigated the application of reinforcement learning in UAV control, specifically focusing on the impact of shaping rewards based on aircraft attitude in variable wind speed environments. Two experiments were conducted to investigate the training rate and control effectiveness of agents with shaping rewards and non-shaping rewards. The findings indicate that shaping rewards based on flight attitude effectively reduce turbulence in the aircraft's flight process and outperform non-shaping rewards in altitude and heading control in the Gaussian wind speed model. © 2023 IEEE.

关键词： Fixed wings

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