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检索条件"任意字段=3rd International Conference on Informatics in Control, Automation and Robotics"

共 2685 条记录，以下是481-490 订阅

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Sensorless Force Approximation control of 3-DOF Passive Haptic Devices 3rd

Sensorless Force Approximation Control of 3-DOF Passive Hapt...

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3rd international conference on Smart Multimedia, ICSM 2022

作者： LĄcki, Maciej Rossa, Carlos Haply Robotics MontrealQC Canada Carleton University OttawaON Canada

ISBN: (纸本)9783031220609

Haptic devices using passive actuators such as brakes are intrinsically stable and offer greater transparency compared to traditional haptic devices actuated by electric motors. However, force control in passive haptic devices is particularly challenging and relies heavily on the use of force sensors, which can significantly increase the device’s inertia and bandwidth. This paper proposes to use a nonlinear disturbance observer based on a Newtonian dynamic model of a 3-Degree-of-Freedom delta passive haptic device to estimate the force input of the user. The observer is tested using a series of simulations and the results confirm that the estimated input force closely matches the actual input force even when the system is subjected to unmodelled dynamics such as the brake’s hysteresis. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Feedback

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Automated Crop Harvesting with robotics Using AI 3

Automated Crop Harvesting with Robotics Using AI

引用

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

作者： Kumar, P. Sangathtamil, S. Sadiq Peer Mohamed, K. Rajalakshmi Engineering College Department of Cse Chennai India Rec Department of Cse Chennai India

ISBN: (数字)9798331543358

ISBN: (纸本)9798331543358

'Automated Crop Harvesting using robotics and AI' research may truly change the future of modern farming. New Robot Systems Integrated with Smarter Artificial Intelligence So the objective for making self-operating harvesters that can move around fields and find ripe crops using advanced machine vision and executing selective harvesting accurately. Among them, the project on real-time data from Using environmental sensors and AI-driven predictive analytics, the system hopes to improve harvesting. operations, increase crop yield, reduce waste. Innovation addresses pivotal issues such as labour Shortages and high operational costs while promoting sustainable farming practices. Ultimately, this project It works toward making farming better, ensuring that food is produced in a more reliable and efficient way. Also, this project considers how these technologies can work with farm management systems to Provides full monitoring and control. The all-inclusive method not only makes immediate harvesting better. Tasks and also helps with long-term farming plans and managing resources. By encouraging with new developments in robots and AI, the project aims to create better ways in farming technology, opening the This is the way forward to smart farming, the future. © 2025 IEEE.

关键词： Robotic arms

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Algorithm for Robustness Estimation of Large Deviations in Linear Discrete-Time Systems 17th

Algorithm for Robustness Estimation of Large Deviations in...

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17th international conference on informatics in control, automation and robotics, ICINCO 2020

作者： Vunder, Nina Dudarenko, Natalia Institute of Control Engineering TU Braunschweig Hans-Sommer-Str. 66 Braunschweig Germany Department of Control Systems and Industrial Robotics ITMO University 49 Kronverksky Pr. Saint-Petersburg Russia

ISBN: (纸本)9783030924416

The paper presents the algorithm for robustness estimation of large deviations in free motion of linear discrete-time systems. A tracking discrete-time systems with the modal control law are discussed, where the modal control law is designed taking into account the value of delay and the deviation. Two cases of discrete-time systems with control signal delay are considered in the paper. The first case relates to predictable delay of control signal, and the second one relates to unpredictable delay of control signal. It is assumed that parameters of the system are linearly dependent on the uncertainties. The problem is solved with the state space approach and the sensitivity theory methods. An upper bound estimation of trajectory deviations for discrete-time systems is obtained. The estimation contains the condition number of the eigenvectors matrix of the system state matrix. Therefore, sensitivity functions of singular values of the eigenvectors matrix are used to calculate the robustness estimation of the deviations. Based on the obtained equations, an algorithm for the robustness estimation of large deviations in linear discrete-time systems with parametric uncertainties is proposed. The proposed method is compared with an alternative LMI based approach for the peak estimation problem. Advantages and disadvantages of both approaches are illustrated with examples. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Sensitivity analysis

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Implementation of SmartTechLab Digital Twin to AR/VR Technology for Educational Purposes 2nd

Implementation of SmartTechLab Digital Twin to AR/VR Technol...

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2nd EAI international conference on automation and control in Theory and Practice, EAI ARTEP 2024

作者： Nazim, Anastasiia Židek, Kamil Balog, Michal Kalman, Olha Svetlík, Jozef Department of Industrial Engineering and Informatics Faculty of Manufacturing Technologies with the seat in Prešov Technical University of Košice Prešov Slovakia Department of Production Technology and Robotics Faculty of Mechanical Engineering Technical University of Košice Košice Slovakia

ISBN: (纸本)9783031592379

This article focuses on the implementation of the SmartTechLab Digital Twin to augmented reality (AR) and virtual reality (VR) technologies for educational purposes. The article begins by discussing the growing popularity of AR and VR technologies in various industries and their potential applications in education. The article then moves on to describe the process of setting up a digital laboratory, including selecting appropriate hardware and software to utilize AR and VR technologies effectively. For creating several models, different software tools were used: Autodesk Inventor, Reality Scan, and the Matterport device scanner. After conducting research, the most accurate models were imported into the Unreal Engine. Also, some widgets were added, which describe machines and tools used in the manufacturing line and are visible in virtual reality. The article also describes the concept of transferring information to augmented and virtual reality and explores the possibilities of using this model with immersive technologies. The article concludes by highlighting the limitations of AR/VR devices and emphasizes the importance of integrating AR and VR technologies into the modern educational landscape. It also emphasizes the need for further research and collaboration. Ultimately, the implementation of the SmartTechLab Digital Twin to AR and VR technologies has the potential to revolutionize education and provide highly immersive and effective learning experiences for students. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Virtual environments

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A Simulation of a Robot Operating System Based Autonomous Wheelchair with Web Based HMI Using Rosbridge

A Simulation of a Robot Operating System Based Autonomous Wh...

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international conference on robotics,Electrical and Signal Processing Techniques (ICREST)

作者： Md. Touhidul Islam Imtiaz Reza Hameem Shuvra Saha Mohammad Jamilur Reza Chowdhury Md. Ether Deowan Dept. of Electrical and Electronics Engineering American International University Bangladesh Dhaka Bangladesh

Our society is aging, which will result in a dramatic increase in the number of individuals suffering from various types of physical impairment and disability. It is necessary to provide mobility support to these persons so that they can live independently at home and be fully integrated into society. This work aims to show a simulation of a ROS (Robot Operating System)-based autonomous wheelchair, as well as a cloud-based online platform for controlling and tracking the wheelchair's mobility and the patient's location. Which allows the user to remotely control the wheelchair from any Internet-enabled device and location. With an intuitive human-machine interface, this wheelchair may be useful for disabled and elderly individuals. ROS offers a simple and user-friendly architecture that enables the development of complex systems at a cheaper cost. Several simulation results are shown in this paper to demonstrate the practicability and performance of the designed system.

关键词： Performance evaluation Costs Navigation Wheelchairs Simulation Operating systems Signal processing

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Design and Analysis of IoT-Based Adaptive Microgrid System including Renewable Energy Sources for Decentralized Zones

Design and Analysis of IoT-Based Adaptive Microgrid System i...

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international conference on robotics,Electrical and Signal Processing Techniques (ICREST)

作者： Md. Ether Deowan Ahsan Kabir Nuhel Mir Mohibullah Sazid Rehenuma Tabassum Meghla Iftekhar Haider Md. Rifat Hazari Department of Electrical and Electronics Engineering American International University-Bangladesh Dhaka Bangladesh

To enhance living conditions and alleviate poverty, emerging nations require energy services that are dependable, accessible, safe, and efficient. This research study proposes an IoT-based smart microgrid system for rural areas with an enhanced control system for an efficient microgrid operation which may, in turn, solves multiple issues in the rural area. The proposed system is a combination of solar and wind power generators, diesel power stations, and backup storage, having the functionality of detecting the instantaneous fault of a branch with the help of the Bewlice lattice diagram and support vector machine algorithm and could be controlled remotely at any moment over the internet. Likewise, a power monitoring system would provide the authorities with technical attributes related to energy that would be utilized to give power to the rural area in an emergency through the Android Application, which can be retrieved and displayed using a cloud platform named ThingSpeak.

关键词： Support vector machines Renewable energy sources Operating systems Signal processing algorithms Microgrids Wind power generation Signal processing

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CLUSBRIS Project: The Innovative Proposal for the Future of Space-Orbital robotics Research and Development in Latin America 3

CLUSBRIS Project: The Innovative Proposal for the Future of ...

引用

3rd IEEE Global conference for Advancement in Technology, GCAT 2022

作者： Palacios, Paul Cornejo, Jose Castillo, Walter Romero, Salvador E. Chavez, Juan C. Oblitas, Carlos Universidad Nacional Pedro Ruiz Gallo Center for Space Emerging Technologies Department of Physics and Engineering Lima Peru Universidad Tecnologica Del Perú Lima Peru Universidad Nacional de Ingeniería Department of Physics and Engineering Lima Peru Center for Space Emerging Technologies Hub Designers Department of Physics and Engineering AtlantaGA United States School of Electronic Engineering Universidad Nacional Pedro Ruiz Gallo Faculty of Physical Sciences and Mathematics Lambayeque Peru

ISBN: (数字)9781665468558

ISBN: (纸本)9781665468534

Due to the increasing amount of space debris in space, the Center for Space Emerging Technologies (C-SET) in collaboration with professionals from Peru and U.S., developed a pioneer project in the region, called CLUSBRIS LATAM, which is a CubeSat, which will be in orbit in LEO. The satellite will perform a calculation of the orbital jumps (Hohmann maneuver) until reaching the target, then it opens the 6 robotic arms of 2 degrees of freedom (DOF) each coupled with a gripper mechanism, and using magnetic technology and PID control it will capture the debris, finally, to finish the mission, it will be returning to the command center. It will track the space debris and will be monitored using an App. The main objective is to be a proposal for the space agencies that are part of the international Space Station (ISS) and with it to carry out the first validation tests. Then, for future work, CLUSBRIS-Sat will be proposed to be accessed by other space agencies. The preliminary design of this project was presented at NASA's international Space Apps Challenge 2021. © 2022 IEEE.

关键词： Orbits

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CCFD-SSL: Optimizing Real-Time Credit Card Fraud Detection Using Self-Supervised Learning and Contrastive Representations

CCFD-SSL: Optimizing Real-Time Credit Card Fraud Detection U...

引用

robotics, automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 IEEE international conference on

作者： Md Al Rafi Gourab Nicholas Rodrigues Md Nazmul Hossain Mir M D Shahriar Mahmud Bhuiyan Arifa Akter Eva Aminun Nahar Kamruddin Nur Washington University of Science and Technology Alexandria USA American International University - Bangladesh (AIUB) Dhaka Bangladesh

ISBN: (数字)9798331534400

ISBN: (纸本)9798331534417

Credit card fraud poses an ongoing challenge for financial entities, especially within real-time transaction systems. This paper presents an innovative application of Self-Supervised Learning (SSL) aimed at tackling the difficulties associated with highly skewed credit card fraud detection (CCFD) datasets. Using transaction data from European cardholders, our SSL-based method improves the model’s ability to differentiate between fraudulent and legitimate transactions, with minimal reliance on extensive labeled datasets. The approach utilizes contrastive learning to extract useful representations of transaction data, followed by fine-tuning with labeled samples. The model delivers state-of-the-art results, including 93.7% precision, 92.3% recall, an F1-score of 92.99%, and an AUPRC of 92.45%. These out-comes underscore the effectiveness of SSL in enhancing detection rates while reducing false positives in real-time environments. Additionally, we explore the scalability and adaptability of SSL-based frameworks in responding to evolving fraud patterns, highlighting their potential to bolster financial security.

关键词： Adaptation models Sensitivity Scalability Computational modeling Contrastive learning Credit cards Real-time systems Data models Fraud Tuning

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Evaluation of Assistance System to Predict Sit-to-stand Speed using Trunk Angle and Lower Limb EMG 3

Evaluation of Assistance System to Predict Sit-to-stand Spee...

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3rd IEEE international conference on Artificial Intelligence in Engineering and Technology, IICAIET 2021

作者： Inoue, Tsuyoshi Uehata, Kosuke Tomoda, Chihiro Osaka Institute of Technology Faculty of Robotics Design Osaka Japan Graduate School of Robotics Design Osaka Institute of Technology Osaka Japan

ISBN: (纸本)9781665428996

We have developed a sit-to-stand assist system that predicts the movement speed and drives at that speed. The assistance system predicts the speed of sit-to-stand movement based on multiple regression analysis. The measurement of trunk angle and lower limb electromyogram (EMG) were used as the explanatory variables for the multiple regression analysis. To verify the effectiveness of the developed system, we conducted evaluation experiments on two participants. The evaluation was performed based on the difference of amount of system support between the conventional constant speed control and the proposed predictive speed control. The evaluation results show that the predictive speed control resulted in more support, confirming the effectiveness of the system control that predicted the sit-to-stand speed. © 2021 IEEE.

关键词： Speed control

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Enhancing Power Grid Reliability in Bangladesh: An IoT-Based Approach to Transmission Line Fault Detection

Enhancing Power Grid Reliability in Bangladesh: An IoT-Based...

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robotics, automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 IEEE international conference on

作者： Md. Nahidul Alam Md. Zahid Hasan Buiyan Md. Abdullah Al Hasan Anik Farhan Tanvir Tanvir Ahmed Fahim Department of Electrical and Electronic Engineering Bangladesh Army International University of Science and Technology Cumilla Bangladesh

ISBN: (数字)9798331534400

ISBN: (纸本)9798331534417

The rapid expansion of Bangladesh's power grid to meet growing energy demands necessitates an efficient and reliable approach to transmission line fault detection. This paper presents the design and implementation of an IoT-based transmission line fault detection system tailored specifically for Bangladesh's unique environmental and infrastructural challenges. By leveraging real-time data from a network of sensors monitoring current, temperature, and environmental conditions, the system enables immediate detection and response to unsymmetrical faults, significantly reducing the risk of prolonged power outages. The proposed system integrates GPS for precise fault location, GSM for alert notifications, and Wi-Fi for remote monitoring, creating a comprehensive solution that enhances grid reliability. Additionally, the system's prototype model demonstrates its practical applicability, offering a user-friendly interface for grid operators and proving its effectiveness through real-time monitoring and fault detection. This research contributes to the modernization of Bangladesh’s power infrastructure, aligning with the nation's goals of sustainable development and energy security by ensuring an uninterrupted and stable power supply.

关键词： Temperature sensors Temperature measurement Power transmission lines Fault detection Electrical fault detection Real-time systems Power grids Reliability Wireless fidelity Global Positioning System

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