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2023 International Conference on System, Computation, automation and Networking, ICSCAN 2023

作者： Jasmine, Susila D Renuka, Devi G Azar, Khan A Jagadesh, A. Mankula Vinayagar Institute of Technology Department of Robotics & Automation Puducherry India

ISBN: (纸本)9798350315127

Global Positioning System (GPS) navigation relies on finding optimal routes between locations. This paper presents a new algorithm based on kernel methods to efficiently solve the GPS routing shortest path problem. The algorithm models complex relationships between locations using kernel functions to prune the search space and identify ideal paths. We prove the algorithm guarantees globally optimal routes and runs in quadratic time, outperforming traditional methods. Implementing the algorithm on real-world road networks demonstrates superior performance, finding shortest paths orders of magnitude faster compared to benchmarks like Dijkstra's algorithm. Additional optimizations further improve scalability and efficiency. Case studies showcase applications in traffic navigation, logistics, and emergency response. The kernel algorithm's novel formulation, optimality guarantees, and empirical results on large-scale GPS routing problems highlight its potential as an enabling technique for next-generation navigation systems. © 2023 IEEE.

关键词： Global positioning system

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FPGA-Based Hardware Acceleration Using PYNQ-Z2 2

FPGA-Based Hardware Acceleration Using PYNQ-Z2

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2nd International Conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2023

作者： Johnson, Vineeth C. Bali, Jyoti Tanvashi, Shilpa Kolanur, C.B. KLE Technological University Department of Automation & Robotics Karnataka Hubballi India

ISBN: (纸本)9798350397635

A study on the FPGA development board PYNQ-Z2 for hardware acceleration is presented in this research paper. The experiment accelerates the tasks of optical character recognition (OCR) and image recognition using the FPGA on PYNQ-Z2. The output results on hardware acceleration (Processing system (PS) and Programmable Logic (PL)) are compared with the output results obtained while executing the same tasks on the Arm processor (Processing System (PS)) alone. In this experiment, a Long short-term memory (LSTM) neural network is used to implement OCR, and a Binarized neural network (BNN) is used to implement image recognition. LSTM and BNN here are quantized to reduce memory usage while implementing them on PYNQ-Z2. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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An Advanced System for Automatically Segregating Bolts using Thread Detection and Dot Matrix Marking 4

An Advanced System for Automatically Segregating Bolts using...

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4th IEEE Global Conference for Advancement in Technology, GCAT 2023

作者： Ramkumar, S. Sridharan, M. Nareshbabu, G. Giri, R. Venusamy, Kanagaraj Priyadharshini, R. Department of Robotics and Automation Rajalakshmi Engineering College Thandalam Chennai India

ISBN: (纸本)9798350305258

Packaging is a crucial stage in the mass production of components, especially when it comes to threaded components fabrication. Currently, the process of segregating bolts based on their length and thread presence is done manually, leading to numerous errors during packaging. To address this issue and achieve greater accuracy and perfection, we propose a digital segregation method using an electronic control module. By placing this module along the assembly line, it can automatically divide bolts according to their lengths and the presence of threads, eliminating the need for manual intervention and reducing human errors. Implementing this Mechatronics system allows for more precise and accurate punching of bolts based on their size, resulting in high-quality packaging that takes into account various segregation factors. © 2023 IEEE.

关键词： automation for separation of components Bolt packaging automation Robotic segregation

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Simulation of an Industrial Robot Using RobotStudio and RoKiSim 3rd

Simulation of an Industrial Robot Using RobotStudio and RoKi...

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3rd Innovative Product Design and Intelligent Manufacturing System, IPDIMS 2021

作者： Talli, Amit Giriyapur, Arunkumar Department of Automation and Robotics KLE Technological University Hubballi580031 India

ISBN: (纸本)9789811946059

Simulation plays a vital role in providing insights and designing a complex system. It is imperative to learn the simulation tools to understand the landscape of industrial robotics. The kinematic equations vary due to structural variations of industrial robots. The paper describes the simulation of a 6R industrial robot. The kinematic equations for IRB 1600 are developed using MATLAB. Then, the simulation of the IRB 1600 robot is carried out using RoKiSim and validated through RobotStudio. The kinematic results are in agreement with those obtained by the software tools. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Industrial robots

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Design and development of indoor mobile robot for disabled people 2

Design and development of indoor mobile robot for disabled p...

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

作者： Sureshkumar, M.S. Vimal, V. Karthic, J. Venkatakrishna Udaya Peter, R Daniel Dinesh, R. Rajesh, R. Akash, N.S. Sri Ramakrishna Engineering College Department of Robotics and Automation Coimbatore India

ISBN: (纸本)9798350306811

The use of wheelchairs is prevalent worldwide, with an estimated 70 million people relying on them for mobility, according to the World Health Organization. A fact sheet from the World Health Organization says that wheelchairs help people move around with or without assistance who have impairments that make them unable to walk. Wheelchair bound people need to be supervised and assisted by someone to move around. Instead of hiring health care employees to assist the impaired patients, we developed a wheelchair assistant robot. In our system, initially, the user will make a request through a webpage to pick up impaired patients. When the robot reaches the wheelchair location, it docks with the wheelchair and navigates autonomously towards its destination. Once the wheelchair reaches the destination point, the robot undocks from the wheelchair. The robot will be idle at the charging station until it receives the next request from the user. The development of this wheelchair assistant robot can improve the mobility and independence of impaired patients while reducing the need for constant supervision and assistance. This technology has the potential to significantly improve the quality of life for millions of individuals worldwide. A minimum number of Autonomous Assistance robots in the health care sector can manage multiple wheelchairs efficiently. So, with the help of this method, we could reduce the cost of purchases with ease. And this article explains how the robot is developed and subjected to real-time situations with or without a payload and helps us understand the further research findings in wheelchair-based mobility. © 2023 IEEE.

关键词： Wheelchairs

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Lung Sound Based Pulmonary Disease Classification Using Deep Learning 2

Lung Sound Based Pulmonary Disease Classification Using Deep...

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2nd IEEE International Conference on Futuristic Technologies, INCOFT 2023

作者： Koravanavar, Madhu R. Kolanur, C.B. Kle Technological University Department of Automation and Robotics Karnataka Hubballi India

ISBN: (纸本)9798350308846

Respiratory infections are disorders that damage the lungs and airways and make it difficult for patients to breathe. Any part of the respiratory system has the potential to become infected or sick, which could have a variety of negative effects. Early detection of lung disorders results in a person's successful treatment. Using electronically recorded lung sounds, pulmonary diseases can be diagnosed. MelFrequency Cepstral Coefficient (MFCC), one of the Librosa machine learning library features, is used to check that such a brief speech segment is sufficiently steady to permit effective modeling. In this research, Librosa is one of the better preprocessing techniques used when working with audio data. The CNN model is applied to the collected dataset and obtained a train accuracy of 95% and a test accuracy of 85% when trained on extracted MFCC features. And also used a number of performance evaluation indicators, including as F1score, accuracy, precision, and recall. The outcomes of this research enable the use of deep learning models in clinical settings to improve doctors' judgment when identifying lung disorders. © 2023 IEEE.

关键词： CNN Librosa MFCC Pulmonary diseases

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Automatic Paddy Drying Robot

Automatic Paddy Drying Robot

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2023 International Conference on System, Computation, automation and Networking, ICSCAN 2023

作者： Devi, G. Renuka Praveen, D. Bhuvaneswari, B. Hariharan, M. Sre, N. Nithya Manakula Vinayagar Institute of Technology Department of Robotics and Automation Puducherry India

ISBN: (纸本)9798350315127

The process of drying rice paddies holds immense significance in rice production, profoundly influencing thequality of the final yield by ensuring the ideal moisture content. Among the conventional techniques for managing the solar drying process, manual tedding stands out -a labor -intensive procedure that entails the physical task of flipping and evenly dispersing the grains. This method remains widely practiced by Filipino farmers due to its cost - efficiency and minimal environmental impact. Nevertheless, there is an increasing demand for modernizing this process to enhance efficiency and elevate the quality of rice output. The focal point of this research is to engineer an automated tedding mechanism for sun- drying rice grains. Several forward-thinking designs were explored, encompassing a tossing mechanism, a plow-based configuration, a vacuum-assisted system, and a cutting-edge sweeper wheel concept. Following meticulous evaluation, a specific mechanism was chosen for production and subjected to rigorous testing. The findings unequivocally demonstrate the effectiveness of the chosen model in efficiently collecting and redistributing grains on the drying surface, achieving an impressively low margin of error, falling below 5%. This breakthrough holds the promise of streamlining the rice drying process, yielding time and resource savings, and ultimately elevating the overall quality of the rice harvest. © 2023 IEEE.

关键词： Drying

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Design and Implementation of Model Predictive Control (MPC) Based Pressure Regulation System for a Precision Agricultural Sprayer

Design and Implementation of Model Predictive Control (MPC) ...

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2023 International Conference on robotics and automation in Industry, ICRAI 2023

作者： Khan, Adrees Nasir, Fazal Tufail, Muhammad Haris, Muhammad Khan, Muhammad Tahir Dong, Zhang University of Engineering and Technology Department of Mechatronics Engineering Peshawar Pakistan Advanced Robotics and Automation Lab National Center of Robotics and Automation Peshawar Pakistan Jinan China

ISBN: (纸本)9781665464727

Model Predictive Control (MPC) is a control scheme that involves predicting the future behavior of a system and optimizing control actions to accomplish the desired objective. In this study, we develop an intelligent control algorithm, based on MPC to regulate the target pressure in variable-rate agriculture sprayer robots. Modeling and simulation steps of the spraying system are developed using MATLAB/Simulink environment, before passing to the description of the MPC algorithm. Real-time implementation of the MPC algorithm was conducted on an Arduino Mega 2560 controller board by using Simulink Support Package for Arduino Hardware in MATLAB/Simulink to experimentally validate the preliminary results of simulations. The work evaluates MPC to regulate the pressure in the system and compares the results with a traditional PID control system. Moreover, MPC is a novel method for nonlinear system control that achieves zero steady-state error, low transient response, and reduces peak overshoot compared to the results obtained with a PID controller, thereby reducing the waste of chemicals, and minimizing the toxicology and environmental risk. © 2023 IEEE.

关键词： Model predictive control

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Real-Time Plant Recognition and Crop Row Navigation for Autonomous Precision Agricultural Sprayer Robot

Real-Time Plant Recognition and Crop Row Navigation for Auto...

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2023 International Conference on robotics and automation in Industry, ICRAI 2023

作者： Nasir, Fazal Haris, Muhammad Khan, Bilawal Tufail, Muhammad Khan, Muhammad Tahir Dong, Zhang National Center of Robotics and Automation Advanced Robotics and Automation Lab Peshawar Pakistan University of Engineering and Technology Department of Mechatronics Engineering Peshawar Pakistan Jinan China

ISBN: (纸本)9781665464727

This paper presents a vision-based selective spraying technique for an autonomous agricultural sprayer robot. In traditional methods, excessive chemical spraying cause deleterious effects on human health, environment and becomes uneconomical. In order to reduce the agrochemical wastage encounters in a broadcast spraying, a selective plant spraying method is used for crop chemical treatment. The sensor-based approach assisted with YOLOv7 model is deployed on a custom designed robot for recognizing and localizing the lettuce plants in field. The PID-based pressure controller is designed that minimizes the undesirable fluctuations cause by the opening/closing of solenoid-valve-nozzles (SVNs) during spraying. Thus the nozzle's spraying quality is maintained by keeping the pressure constant to a desired value. A visual servoing scheme for row tracking is presented that uses the detected plant's spatial features. The robustness of the visual-based navigation is validated in the real field experiments. © 2023 IEEE.

关键词： Crops

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Recent Advancement in Bioabsorbable Metals and Their Alloys for Implant Application—a Review

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Journal of The Institution of Engineers (India): Series D 2024年 1-17页

作者： Kadam, K.S. Gadakh, V.S. Department of Mechanical Engineering Dr. Vithalrao Vikhe Patil College of Engineering Ahmednagar414111 India Department of Automation and Robotics Engineering Amrutvahini College of Engineering Sangamner Ahmednagar422608 India

The emergence of bioabsorbable implant materials has generated significant enthusiasm in medical and engineering research. The present systematic review study thoroughly examines the development, characteristics, uses, and difficulties associated with bioabsorbable materials, specifically emphasizing magnesium, zinc, iron, and alloys. Bioabsorbable implant materials have become popular in orthopaedic and dental surgery because they enhance tissue regeneration while minimizing foreign body responses. Using bioabsorbable implant materials can lessen the requirement for implant removal operations while also improving patient outcomes. Developing bioabsorbable implant materials is a fascinating field of study with the potential to transform medical implant technology. The present systematic review study thoroughly examines the development, characteristics, uses, and difficulties associated with bioabsorbable materials, specifically emphasizing magnesium, zinc, iron, and alloys. The novelty of the present review is that a roadmap for future research is outlined. Thus, the present review thoroughly analyses the latest discoveries in bioabsorbable materials, providing valuable insights that could improve implant technology and significantly transform medical treatments and patient care. © The Institution of Engineers (India) 2024.

关键词： Magnesium alloys

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