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检索条件"任意字段=IEEE Conference on Technologies for Practical Robot Applications"

共 5270 条记录，以下是111-120 订阅

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Soil Moisture Monitoring and Seed Sowing robot with ThingSpeak Integration 2

Soil Moisture Monitoring and Seed Sowing Robot with ThingSpe...

引用

2nd ieee International conference on Intelligent and Innovative technologies in Computing, Electrical and Electronics, ICIITCEE 2024

作者： Swetha Rani, L. Jenitta, J. Akash, S. Mallick, Ashutosh Bhumika, V. Amc Engineering College Department of Ece Bangalore India

ISBN: (纸本)9798350306415

The increasing demand for efficient and sustainable agricultural practices has led to the development of advanced technologies in the field of precision agriculture. In this paper, the design of a Soil Moisture Monitoring and Seed Sowing robot is proposed. This system helps to enhance the seed-sowing process in agricultural applications. This robotic system integrates the capabilities of the ESP32 microcontroller and servo motor to optimize the seed-sowing process. Additionally, it incorporates a moisture monitoring system to continuously assess soil moisture levels and send that data to ThingSpeak, ensuring optimal growing conditions. This paper highlights the design, implementation, and testing of the Smart Agriculture Seed Sowing robot, featuring technical specifications, operational workflow, performance evaluation, and real-time soil moisture monitoring. The results demonstrate the effectiveness and potential impact of this robotic system in modern agriculture, paving the way for further advancements in precision farming techniques. © 2024 ieee.

关键词： Effectiveness ESP32 Microcontroller Seed Sowing robot Servo Motor Smart Agriculture Soil moisture ThingSpeak

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A Comprehensive Review of Beekeeping Datasets for Precision Apiculture Research 10

A Comprehensive Review of Beekeeping Datasets for Precision ...

引用

10th International conference on Control, Decision and Information technologies (CoDIT)

作者： Haddaoui, Seloua Khlifa, Nawres Chikhi, Salim Varastehpour, Soheil Adjailia, Fouzia Univ Abdelhamid Mehri MISC Lab Constantine Algeria Univ El Manar LRBTM Lab Tunis Tunisia UNITEC Inst Technol Sch Comp Auckland New Zealand Gardenia Tech Grp Tebessa Algeria

ISBN: (纸本)9798350373981;9798350373974

This paper undertakes a thorough analysis of the existing landscape of datasets within the beekeeping field, with the primary aim of furnishing precision beekeeping researchers with a comprehensive overview. Through an assessment of accessibility, scope, and applicability, this study endeavors to identify gaps, discern trends, and pinpoint potential areas for future exploration. The overarching goal is to propel advancements in bee health, productivity, and conservation through data-driven strategies. Stressing the pivotal role of technology in augmenting dataset effectiveness, the paper underscores the necessity for collaborative endeavors to standardize data collection and sharing practices. Serving as a cornerstone resource, this review aims to equip researchers with the necessary insights to harness data for the improvement of beekeeping practices and the sustainability of bee populations.

关键词： Data-driven beekeeping Precision Beekeeping Apiary Management IoT applications AI in Hive Management

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On the Sensitivity of Characteristic Roots of a Class of Parameterized Delay-Differential Neutral Systems 10

On the Sensitivity of Characteristic Roots of a Class of Par...

引用

10th International conference on Control, Decision and Information technologies (CoDIT)

作者： Mendez-Barrios, Cesar-Fernando Niculescu, Silviu-Iulian Martinez-Gonzalez, Alejandro Univ Autonoma San Luis Potosi UASLP Fac Ingn Dr Manuel Nava 8 San Luis Potosi 8 San Luis Potosi Mexico Univ Paris Saclay Lab Signaux & Syst L2S Inria Disco Team CentraleSupelecCNRSUMR CNRS 8506 F-91192 Gif Sur Yvette France IPICyT San Luis Potosi San Luis Potosi Mexico

ISBN: (纸本)9798350373981;9798350373974

This paper focuses on the characterization of the asymptotic behavior of the critical characteristic roots for a class of delay-differential dynamical systems of neutral type whose coefficients smoothly depend on certain parameters. Such systems can be described by coupled delay-differential and delay-difference equations, and model time heterogeneity in propagation and transport phenomena. The asymptotic behavior of the characteristic roots is addressed by expressing the solutions as a convergent Puiseux series, which facilitates handling multiple solutions. Particular attention is paid to the way the parameters affect the stability of the delay-difference operator. Illustrative examples complete the presentation and show the effectiveness of the proposed method.

关键词： Delay-sensitive applications

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Smart Control of the Multirotor Drone Propeller for Enhanced Vibration Energy Harvesting

Smart Control of the Multirotor Drone Propeller for Enhanced...

引用

ieee Aerospace conference

作者： Shpanin, Leonid Abramiuk, Misko Goodwin, Matthew Parameswaran, Kannan Bernard, V Chalil, Aasish Karuva Osuchukwu, Nneka Pickett, Nicholas Sheffield Hallam Univ Dept Engn & Math Sheffield S1 1WB S Yorkshire England Univ Sunderland Sch Business & Management Sunderland SR6 ODD England Eternal Robot PVT Ltd Dept Robot & AI Kondapur 500084 Telangana India Egis Transport Solut Dept Digital Asset London SE1 8QH England

ISBN: (纸本)9798350304626

This paper describes the technique of converting the multirotor drone propeller kinetic energy into electrical energy using piezoelectric industrial made components. The simulation and practical investigations of the novel energy harvester propeller structure and its control (with two industrially made piezoelectric elements which are located inside a single industrial made propeller) has been examined at different propeller rotational speeds. A novel propeller control technique for increasing electric energy production is being investigated using the smart drone motor control for enhanced propeller vibration and its energy harvesting performance. The proposed technique of the energy production for the multirotor drone operation is based on the drone propeller vibrations and aims to demonstrate that each propeller can harvest its own kinetic energy and convert it into the electrical energy which can be stored or used for different applications while the propellers are rotating. An attempt to model the energy production mechanism using SolidWorks and Creo pro engineer software is also made, examining the multirotor drone propellers at different operational conditions. All propeller simulations and practical tests were conducted under indoor laboratory conditions with suitable instrumentation. Analysis of the propeller vibration performance is presented via graphical representation of simulated and experimental results, to demonstrate that it is practically possible to recover the harvested energy from the vibrated propeller while the propeller is rotating. Consideration is given to using industrially made piezoelectric components for increasing the energy production mechanism in such concept. Photographic evidence of the test unit and setup of the propeller operation modes are presented and discussed together with experimental results to validate the theoretical concept via practical experimentation.

关键词： Kinetic energy

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Enhancing Mobile robot Navigation Safety and Efficiency through NMPC with Relaxed CBF in Dynamic Environments 20

Enhancing Mobile Robot Navigation Safety and Efficiency thro...

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ieee 20th International conference on Automation Science and Engineering (CASE)

作者： Nhat Nguyen Minh McIlvanney, Stephen Sun, Yuzhu Jin, Yan Van, Mien Queens Univ Belfast Sch Elect Elect Engn & Comp Sci Belfast Antrim North Ireland Queens Univ Belfast Sch Mech & Aerosp Engn Belfast Antrim North Ireland

ISBN: (纸本)9798350358513;9798350358520

In this paper, a safety-critical control strategy for a nonholonomic robot is developed to generate control signals that result in optimal, obstacle-free paths through dynamic environments. We formulate the control synthesis problem as an Optimal Control Problem (OCP) that enforces Control Lyapunov Function (CLF) constraints for system stability as well as safety-critical constraints using Control Barrier Function (CBF) with a relaxing decay rate of the barrier function. A Nonlinear Model Predictive Control (NMPC) integrates with CLF and CBF to ensure system safety and facilitate optimal performance within a short prediction horizon, reducing the computational burden in real-time implementation. Additionally, we incorporate an obstacle avoidance constraint based on the Euclidean norm into the NMPC framework, showcasing the CBF approach's superiority in addressing mobile robotic systems' point stabilisation and trajectory tracking challenges. Through extensive simulations, the proposed controller demonstrates proficiency in static and dynamic obstacle avoidance under various scenarios. Experimental validations conducted using the Husky A200 robot align with simulation results, reinforcing the applicability of our proposed approach in realworld scenarios, notably improving the computational efficiency and safety in practical mobile robot applications.

关键词： Mobile robots

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A Brief Overview of Teleoperation and Its applications 15

A Brief Overview of Teleoperation and Its Applications

引用

15th ieee International conference on Industry applications, INDUSCON 2023

作者： Oliveira, Andressa Martins de Araújo, Ícaro Bezerra Queiroz Computer Institute Federal University of Alagoas Alagoas Maceió Brazil

ISBN: (纸本)9798350314182

This article provides a brief overview of robot teleoperation, addressing recent technological advances to enhance operator immersion. Furthermore, we review the most relevant and recent research on teleoperation applications from the past three years. Overall, this article serves as a concise resource for understanding the fundamental concepts and recent advancements in robot teleoperation. ©2023 ieee.

关键词： application review technologies teleoperation

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Authentic Learning on DevOps Security with Labware: Git Hooks To Facilitate Automated Security Static Analysis 48

Authentic Learning on DevOps Security with Labware: Git Hook...

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48th Annual ieee International Computers, Software, and applications conference (COMPSAC) - Digital Development for a Better Future

作者： Rahman, Md Mostafizur Barek, Md Abdul Akter, Mst Shapna Riad, Abm Kamrul Islam Rahman, Md Abdur Shahriar, Hossain Rahman, Akond Wu, Fan Univ West Florida Deaprtment Informat Technol Pensacola FL 32514 USA Univ West Florida Dept Intelligent Syst & Robot Pensacola FL USA Univ West Florida Ctr Cyber Secur Pensacola FL USA Auburn Univ Dept Comp Sci & Software Engn Auburn AL USA Tuskegee Univ Tuskegee AL 36088 USA

ISBN: (纸本)9798350376975;9798350376968

This paper presents an innovative approach to DevOps security education, addressing the dynamic landscape of cybersecurity threats. We propose a student-centered learning methodology by developing comprehensive hands-on learning modules. Specifically, we introduce labware modules designed to automate static security analysis, empowering learners to identify known vulnerabilities efficiently. These modules offer a structured learning experience with pre-lab, hands-on, and post-lab sections, guiding students through DevOps concepts and security challenges. In this paper, we introduce hands-on learning modules that familiarize students with recognizing known security flaws through the application of Git Hooks. Through practical exercises with real-world code examples containing security flaws, students gain proficiency in detecting vulnerabilities using relevant tools. Initial evaluations conducted across educational institutions indicate that these hands-on modules foster student interest in software security and cybersecurity and equip them with practical skills to address DevOps security vulnerabilities.

关键词： DevOps security education vulnerabilities Git Git Hooks security vulnerabilities authentic learning

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Multimodal Deep Learning for Remote Stress Estimation Using CCT-LSTM

Multimodal Deep Learning for Remote Stress Estimation Using ...

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ieee/CVF Winter conference on applications of Computer Vision (WACV)

作者： Ziaratnia, Sayyedjavad Laohakangvalvit, Tipporn Sugaya, Midori Sripian, Peeraya Shibaura Inst Technol Coll Engn Tokyo Japan

ISBN: (纸本)9798350318920;9798350318937

Stress estimation is key to the early detection and mitigation of health problems, enhancing driving safety through driver stress monitoring, and improving human-robot interaction efficiency by adapting to user's stress levels. In this paper, we present a novel method for video-based remote stress estimation and categorization, which involves two separate experiments: one for stress task classification and another for multilevel stress classification. The method combines two deep learning approaches, the Compact Convolutional Transformer (CCT) and Long Short-Term Memory (LSTM), to form a CCT-LSTM pipeline. For each modality (facial expression and rPPG), a CCT model is used to extract features, followed by an LSTM block for temporal pattern recognition. In stress task classification, T1, T2, and T3 tasks from the UBFC-Phys dataset are used, utilizing sevenfold cross-validation. The results indicated a mean accuracy of 83.2% and an F1 score of 83.4%. For multilevel stress classification, the control (lower stress) and test (higher stress) groups from the same dataset were used with fivefold cross-validation, achieving a mean accuracy of 80.5% and an F1 score of 80.3%. The results suggest that our proposed model surpasses existing stress estimation methods by effectively using multimodal deep learning and the CCT-LSTM pipeline for precise, non-invasive stress detection and categorization, with applications in health monitoring, safety, and interactive technologies.

关键词： applications applications Biomedical / healthcare / medicine Remote Sensing

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Design and Implementation of an Autonomous Trace-tracking and Obstacle-avoidance Mobile robot Utilizing Multiple Sensors 14

Design and Implementation of an Autonomous Trace-tracking an...

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14th Asian Control conference (ASCC)

作者： Yan, Shijin Yang, Jialing Jin, Jing Ling, Rongyao Guo, Xianxin Shaoxing Univ Coll Mech & Elect Engn Shaoxing 312000 Peoples R China Shihezi Univ Coll Mech & Elect Engn Shihezi 832 Peoples R China

ISBN: (纸本)9798331540845;9789887581598

This paper introduces the design and implementation issues of a wheeled mobile robot capable of autonomously tracking and avoiding obstacles using multiple sensors. The main objective is to design a mobile robot that is both high-performance and relatively low-cost, and by equipping the robot with appropriate sensors, it can efficiently plan paths and achieve accurate line tracking and obstacle avoidance during movement. To achieve these goals, the structure, functional modules, hardware and software, modeling methods, and control algorithms of the robot are designed and elaborated. The completed robot is capable of trajectory tracking, obstacle avoidance, path planning, color recognition, and voice broadcasting functions. In addition, a series of performance debugging and testing methods are proposed to evaluate and adjust various robot functions, thereby enhancing its practical application. Experimental results confirm the effectiveness of the design and implementation methods described in this paper. The robot designed in this study holds potential applications in areas such as warehousing management and smart homes, and provides redundancy to incorporate additional functional modules for expanding its capabilities.

关键词： Mobile robot Trajectory Tracking Obstacle Avoidance Multiple Sensors

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Design and Implementation of an Image Processing-Based Ping Pong Training robot

Design and Implementation of an Image Processing-Based Ping ...

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2024 Innovations in Intelligent Systems and applications conference, ASYU 2024

作者： Aydın, Mert Bektaş, Sezercan Ajam, Ahmet Kağızman, Ahmet Sezer, Volkan Department of Mechatronics Engineering Istanbul Technical University Istanbul Turkey Istanbul Technical University Istanbul Turkey Istanbul Technical University Istanbul Turkey

ISBN: (纸本)9798350379433

This study aims to develop an image-processing-based ping-pong training robot to facilitate effective practice for ping-pong players. In the developed system, the image of the ping-pong player is processed from the camera integrated into the robot, the player's position is determined and the ball is directed to areas that are difficult for the player to reach. The reason for launching the ball into difficult areas is to improve the players' physical and strategic abilities. In the process of throwing the ball, the ball is placed in the hopper, driven from the hopper to the launch point with the help of a servo motor, and launched with the help of two DC motors. Experimental results confirm that the robot accurately detects the player's position and successfully directs the ball to the intended target area. Furthermore, the findings demonstrate that this system, which integrates image processing and robotic control technologies, provides a robust and adaptable training tool for ping-pong players. © 2024 ieee.

关键词： Hoppers

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