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Edge Computing for Real-Time Decision-Making in Industrial Automation Systems - A Comprehensive Review

Edge Computing for Real-Time Decision-Making in Industrial A...

引用

Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), international conference on

作者： R. Raffik V. J. Balamurugan N. Gopinath Pandian Department of Mechatronics Engineering Kumaraguru College of Technology Coimbatore Tamil Nadu India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The real-time decision-making potential brought by edge computing is disrupting industrial automation, transcending the speed-and-bandwidth limitations of traditional cloud computing. By enabling on-site data processing, edge computing effectively low-latency and responsive applications, e.g., predictive maintenance, process optimization, and autonomous robotics. This paper discusses edge computing architecture and deployment models, its hardware and software components, and networking infrastructure. The objectives to review are to analyze how edge computing facilitates real-time decision-making in automated industrial processes. The discourse is then fully addressed around the different core technologies, advantages, concerns, real-life instances, and future trends toward increasing efficiencies, lowering latencies, and making smart manufacturing possible. Integration of AI and machine learning at the edge levels make real-time analytics, thus improving efficiency and agility. Key challenges under consideration include security, scalability, and economic impact, along with their applications in the real world. Future direction encompasses AI-based analytics, energy-efficient edge devices, and seamless interoperability poised to change its status from enabler to disrupter concerning industrial automation.

关键词： Automation Reviews Decision making Process control Real-time systems Energy efficiency Security Optimization Interoperability Edge computing

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Interactive Agent Foundation Model: A Meta-Learning Strategy

Interactive Agent Foundation Model: A Meta-Learning Strategy

引用

international Symposium on Advanced Computing and Communication (ISACC)

作者： Mani Dwivedi Anuj Kr. Dwivedi Department of Computer Science and Engineering KIET Group of Institutions Delhi-NCR Ghaziabad India Department of Computer Science and Engineering Galgotias College of Engineering and Technology India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Artificial intelligence (AI) systems are evolving from static, task-specific models to dynamic, agent-based systems that perform well in a variety of scenarios. We present an Interactive Agent Foundation Model using a novel multi-task agent training methodology that includes many pretraining techniques such as language modelling, visual masked autoencoders, and next-action prediction. This framework's adaptability and versatility have been shown in the robotics, gaming AI, and healthcare sectors, yielding results that are pertinent to the situation. Effective multimodal and multitask learning is made possible by utilizing a variety of data sources, such as textual information, gaming data, robotics sequences, and large-scale video datasets. Our method offers a viable way forward for creating adaptable, proactive, multimodal systems.

关键词： Training Adaptation models Visualization Foundation models Soft sensors Medical services Predictive models Multitasking Data models Robots

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15 Puzzle Problem Solving By Using Heuristic-Based Approaches 3

15 Puzzle Problem Solving By Using Heuristic-Based Approache...

引用

3rd international conference on Intelligent Systems, Advanced Computing, and Communication, ISACC 2025

作者： Keskar, Revati Kolhe, Vaibhavi Bhadange, Piyusha Raut, Roshani Pimpri Chinchwad College of Engineering Department of Information Technology Pune India

ISBN: (纸本)9798331523893

The 15-Puzzle is one of the most famous benchmarks to test heuristic search algorithms that are challenging both in efficient state space exploration and optimizing solutions. The task in this puzzle is to fit a 4x4 grid of numbered tiles in a disordered state to a target configuration with minimal moves. This paper covers heuristic-based approaches and works with Manhattan Distance, Misplaced Tile, and Linear Conflict heuristics under an A∗ search algorithm to come up with a solution for the problem. A∗ approximates the cost that has to be made to achieve the goal state by finding the best possible solution. Each heuristic was then measured on computation time and memory usage, by first solving the initial configurations of the puzzles with A*. Then each of them compared their performance regarding the nodes expanded, the actual time of computation, and path length. Analysis with techniques of visualization will involve node exploration graphs and the graphs of effectiveness in terms of heuristics used. The results indicate that there are instances when simpler heuristics provide faster less optimal solutions and advanced ones, such as Linear Conflict, prove to be more accurate path results but with higher computations. In this case, Manhattan Distance finds a kind of balance between accuracy and efficiency, and Linear Conflict reduces the search depth at nearly solved puzzles. Although less powerful for tile movement error, its simplicity also makes it a better alternative. Conclusion Manhattan distance and linear conflict heuristics are very effective for solving the 15-puzzle problem. Specifically, linear conflict is quite useful for configurations close to being solved. Hybrid approaches to applying heuristics can be quite valuable in improving performance but still retaining solution optimality. The combination of appropriate heuristics allows such a tradeoff between speed and accuracy, with significant implications for real world AI pathfinding and robotics.

关键词： 15-Puzzle A algorithm Linear Conflict Manhattan Distance Misplaced Tile

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Diabetic Socks for Foot Ulcer Prediction and Monitoring

Diabetic Socks for Foot Ulcer Prediction and Monitoring

引用

Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), international conference on

作者： M A Raja K Sivakami M Thillai Rani S Umamaheswari M Maheswaran S Jaganathan Department of Electronics and Communication Engineering Nehru Institute of Engineering and Technology Coimbatore Department of Electronics and Communication Engineering Sri Krishna College of Technology Coimbatore Department of Electronics and Communication Engineering Kumaraguru College of Technology Coimbatore Department of Mechatronics Engineering Nehru Institute of Engineering and Technology Coimbatore Department of Electrical and Electronics Engineering Karpagam College of Engineering Coimbatore

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

Diabetic foot ulcers (DFUs) are a serious complication for diabetics, often leading to amputation. Early detection and prevention are crucial. This project explores new technologies that may improve diabetic foot care. The proposed method developing integrated smart socks insoles equipped with sensors to monitor sensitivity, temperature, and blood pressure levels in the feet. These sensors can warn of potential problems before ulcers form and develop. Real time monitoring of foot leads enhanced foot care and the output is shown in smart phone wirelessly. Studies have shown promise for these new technologies. For instance, smart socks monitoring foot temperature may aid in early ulcer detection. Likewise, studies suggest regular temperature monitoring and sensitivity measurement can help prevent ulcers in high-risk diabetics.

关键词： Temperature sensors Temperature measurement Sensitivity Blood pressure Diabetes Telecommunication computing Biomedical monitoring Monitoring Intelligent sensors Smart phones

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Robust and Optimal Control of Quanser Aero

Robust and Optimal Control of Quanser Aero

引用

Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), international conference on

作者： Mushitha L Anil Kumar K K Sri Priyadharshini B S Department of Electronics and Instrumentation Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

This paper presents the implementation and comparative study of Model Predictive Control (MPC) and Sliding Mode Control (SMC) on a two degree of freedom testbed, Quanser Aero. Both controllers are used to evaluate precise pitch and yaw control with the aim of minimizing settling time, eliminating steady-state error and reducing chattering effect in the output response. Simulation and hardware results are validated to compare their performance and highlight the trade-offs in real-time applications. The SMC enhanced robustness and reduced chattering, whereas MPC ensured smooth transient response with optimal control. These findings help us with the feasibility of implementing control methods in aerospace and robotics applications.

关键词： Accuracy Optimal control Hardware Real-time systems Robustness Steady-state Delays Transient analysis Sliding mode control Predictive control

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Cloud-Based AI robotics for Precision Pruning of Fruit Trees to Improve Sustainable Farming

Cloud-Based AI Robotics for Precision Pruning of Fruit Trees...

引用

international Symposium on Advanced Computing and Communication (ISACC)

作者： R.C. Ilambirai Barkathulla. A G. Mahalakshmi J. Jagan Babu Prabu K C. Srinivasan Department of Electrical and Electronics Engineering SRM Institute of Science and Technology Chennai Tamil Nadu India Department of Computer Science and Engineering School of Computing Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of Computer Science and Engineering Chennai Institute of Technology Chennai Tamil Nadu India Department of Electronics and Communication Engineering R.M.D Engineering College Chennai Tamil Nadu India Department of Electronics and Communication Engineering Gojan School of Business and Technology Chennai Tamil Nadu India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

The crucial agricultural practice of precision pruning fruit trees greatly impacts fruit production yield and quality. Traditional pruning techniques take a lot of time and money because they need skilled workers and are labor-intensive. It suggests a novel cloud-based AI robotics system intended to precisely prune fruit trees to address these issues. This system uses cutting-edge robotics fitted with Convolutional Neural Networks (CNNs) to carry out precise and effective tasks related to pruning. Cloud computing integration makes it possible to process and make real-time decisions, improving the system's flexibility in responding to changing tree conditions and pruning needs. The system's primary parts are robotic arms for accurate cuts, various sensors for analyzing tree structures, and CNN models for maximizing pruning techniques. Early field trials show noticeable gains in operational efficiency and pruning accuracy compared to conventional techniques. This study demonstrates how cloud-integrated AI robotics can transform agricultural practices and improve fruit farming's sustainability and productivity.

关键词： Training Cloud computing Accuracy Crops Robot sensing systems Real-time systems Sensor systems Convolutional neural networks Robots Farming

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Stabilization and Performance Analysis of Double Link-Rotary Inverted Pendulum Using LQR-I Controller

Stabilization and Performance Analysis of Double Link-Rotary...

引用

Industrial Electronics: Developments & Applications (ICIDeA), IEEE international conference on-

作者： Anjali Rai Bharat Bhushan Bhavnesh Jaint Electrical Engineering Department Delhi Technological University New Delhi India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

This paper presents an optimal LQR-Integral based controller (LQR-I) for balancing control of the Double Link Rotary Inverted Pendulum (DL-RIP) system. It is one of the challenging topics in control and robotics due to its nonlinearity and instability, also complex system due to 3 degree of freedom rotary system. This system uses a motor to control and balance two rigid links serially connected pendulums in a vertically upward direction. Pole-zero mapping is used to determine the stability of the system. In this paper, a performance analysis of the system is done with an LQR-I controller using three reference paths (Square, Sawtooth, and Sinusoidal wave), two of which are discontinuous and one continuous path. The system shows less overshoot and deflection to stabilize the pendulum vertically upwardly with a continuous sinusoidal reference path compared to a square and sawtooth wave.

关键词： Dynamic response Tracking Motors Stability analysis Eigenvalues and eigenfunctions Performance analysis Complex systems Standards Robots Oscillators

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Position Estimation for Mobile Robots Using Machine Learning

Position Estimation for Mobile Robots Using Machine Learning

引用

Intelligent Data Communication Technologies and Internet of Things (IDCIoT), international conference on

作者： Kallepalli Rahul Varma Medha Sreenivasan N. Srivani Shourjyo Bhattacharya Glace Varghese T. Sreeja Kochuvila Dept. of Electronics and Communication Engineering Amrita School of Engineering Bengaluru Amrita Vishwa Vidyapeetham India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

Robot localization is a critical challenge present in autonomous robots to estimate their position within the environment, ensuring accurate navigation and task execution. This research project compares the position estimation capabilities of advanced machine learning methods Gradient Boosting and K-Nearest Neighbors. In this work Machine Learning (ML) models are built using a dataset from *** that tracked Received Signal Strength Indicator (RSSI) readings and tested them against strong performance measurements. This work findings show GB provides better results than KNN because it reaches an R2 score of 0.9341. These insights are applicable in various fields, including autonomous vehicles, industrial automation, service robotics, and multi-robot coordination, guiding the selection of appropriate algorithms for specific localization challenges.

关键词： Service robots Navigation Robot kinematics Machine learning Nearest neighbor methods Predictive models Boosting Robot sensing systems Robot localization Received signal strength indicator

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Integrating Humanoid Nao V6 Robot for Food Serving Applications

Integrating Humanoid Nao V6 Robot for Food Serving Applicati...

引用

Intelligent Data Communication Technologies and Internet of Things (IDCIoT), international conference on

作者： T Tamilarasi S Janu B.R Jeevaan K Janani A Guru Prasath B. Khishore N Subash Mechatronics Engineering Kongu Engineering College Erode

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

NAO robot is a humanoid robot its main purpose is to help human assisted tasks. It is equipped with multiple sensors for perceiving information from its surrounding environment and to know its position in space. It is applicable for multiple tasks like answering to the questions, speech recognition, object recognition and human supported works. NAO robot is supported with Choregraphe's tool which is used to create specified blocks as per the application and human interactions. This proposed methodology focuses on developing food serving module based on the surrounding information retrieved from sensors and cameras with human interaction. The instruction to the NAO robot is given as verbal command to attain defined positions of the table. The NAO robot is programmed with python coding for path planning, object recognition, and social interaction to ensure efficient food delivery. The proposed method also focuses on proper food delivery with safety and hygiene in a minimal time.

关键词： Navigation Heuristic algorithms Robot vision systems Humanoid robots Speech recognition User experience Sensors Safety Object recognition Artificial intelligence

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Power Optimization Of FPGAs Used In Autonomous Vehicles

Power Optimization Of FPGAs Used In Autonomous Vehicles

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Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), international conference on

作者： A Kalaiselvi M. Varshini K. Swasthika R. G. Vijay Prakash Electronics and Communication Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

Autonomous vehicles represent the forefront of modern technology, integrating robotics, machine learning, and advanced hardware systems for tasks such as object detection and real-time decision-making. This research focuses on enhancing the power efficiency of Field Programmable Gate Arrays (FPGAs), a key hardware choice due to their flexibility and parallel processing capabilities. By leveraging Dynamic Voltage and Frequency Scaling (DVFS) alongside a Self-Feedback Convolutional Neural Network (CNN), the proposed system achieves a significant reduction in energy consumption while maintaining performance. The system, implemented on a Xilinx Virtex7 FPGA and tested with the KITTI dataset, demonstrates a power reduction of 65.9% without compromising detection accuracy. This scalable solution provides a foundation for energy-efficient operations in autonomous vehicles.

关键词： Voltage Object detection Parallel processing Logic gates Real-time systems Convolutional neural networks Vehicle dynamics Field programmable gate arrays Autonomous vehicles Optimization

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