This paper introduces a novel high strength Active Ball Joint Mechanism (ABENICS) based on the Inertial Measurement Unit (IMU) for orientation feedback and control. The advanced ABENICS incorporates a sophisticated in...
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ISBN:
(数字)9798350355369
ISBN:
(纸本)9798350355376
This paper introduces a novel high strength Active Ball Joint Mechanism (ABENICS) based on the Inertial Measurement Unit (IMU) for orientation feedback and control. The advanced ABENICS incorporates a sophisticated interplay of specially designed Cross-spherical and Monopole gears, fabricated from Alumigo Hard alloy. Notably, the gear-based joint proficiently drives three rotational degrees of freedom (RDoF) without slippage. The information from the IMU sensor is leveraged to comprehend the orientation of the spherical gear, enabling accurate positioning to its predefined setpoint using the developed control method. During system startup, the IMU feedback also aids in homing the spherical gear, ensuring a seamless transition to normal operation. The experimental findings affirm the efficacy of the developed control method, showcasing a significant reduction in positioning errors. The paper also introduces the development and experimentation of a robotic arm with ABENICS mechanism as the shoulder joint. The paper concludes by discussing various applications of ABENICS mechanism in robotics.
High-mix low-volume manufacturing industries like aerospace lag in the implementation of automation to improve their production rate while ensuring safety due to various reasons. This paper explores the possibility of...
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ISBN:
(数字)9798350391398
ISBN:
(纸本)9798350391404
High-mix low-volume manufacturing industries like aerospace lag in the implementation of automation to improve their production rate while ensuring safety due to various reasons. This paper explores the possibility of integrating a collaborative robot into a precision drilling operation while addressing issues highlighted in the literature. This system incorporates a wide range of sensors including a force-torque sensor, camera and image processor, proximity sensor, LIDAR, and touch probes connected via multiple communication protocols for increased efficiency and safety. The system demonstrated the capability of achieving positioning accuracy within the specified tolerance of 0.2 mm for more than $\mathbf{90 \%}$ of the holes along both the X- and Y-axes after the first correction cycle, while subsequent cycles show minimal improvements. The system is then further optimized for best efficiency and validated for safety against the unexpected presence of human drillers with the robot stopping within 0.1 seconds of human proximity. Despite the success of the experiment, several challenges due to robotic and system limitations were noted. This research was done to contribute to the development of an intelligent, data-centric robotic system for aerospace manufacturing with a focus on precision and safety.
To meet the world's growing food demand, outstanding performance, high productivity, and environmentally friendly agriculture are essential. This requires integrating modern technology into control, oversight, and...
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ISBN:
(数字)9798331538934
ISBN:
(纸本)9798331538941
To meet the world's growing food demand, outstanding performance, high productivity, and environmentally friendly agriculture are essential. This requires integrating modern technology into control, oversight, and decision-making processes. This research proposes an organizational framework for crop monitoring in precision farming based on the collaboration of federated Wireless sensor Networks (WSNs) and Unmanned Aerial Vehicles (UAVs). To maximize agricultural productivity, it introduces an innovative UAV-WSN system that employs a novel approach for immediate information collection and processing. By combining the airborne capabilities of UAVs with the precise ground-based detection of WSNs, the system ensures greater accuracy and wide availability for monitoring crop health, soil conditions, and environmental factors. The proposed method guarantees optimal resource use, improved decision-making, and higher agricultural yields through fast and reliable data delivery to producers. This modern approach to farming represents a significant advancement in food security and environmentally sustainable agricultural practices through the use of cutting-edge technology.
The effective deployment of wireless sensor networks (WSNs) is a crucial foundation for the intelligent development of power systems. To address the optimization of wireless sensor distribution in power systems, this ...
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ISBN:
(数字)9798350350302
ISBN:
(纸本)9798350350319
The effective deployment of wireless sensor networks (WSNs) is a crucial foundation for the intelligent development of power systems. To address the optimization of wireless sensor distribution in power systems, this paper proposes a novel method named the Distributed Particle Swarm Optimization algorithm (D-PSO). This method mitigates the premature convergence issue of heuristic algorithms by introducing a regional operator. Additionally, considering the high-interference environment in power systems, relay node strategy (RNS) is incorporated to ensure communication quality. Simulation results validate the effectiveness and superiority of the D-PSO method and demonstrate the necessity of the RNS. Compared to some advanced particle swarm algorithms, this method better balances energy consumption, coverage, and communication quality, thereby significantly enhancing the overall performance of the wireless sensor network.
Design, mechanical modeling and characterization of a new flexure-guided piezoelectrically actuated nanopositioner are presented in this paper. The scan range of this planar scanner is 5.8 pm in both X- and Y-directio...
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Design, mechanical modeling and characterization of a new flexure-guided piezoelectrically actuated nanopositioner are presented in this paper. The scan range of this planar scanner is 5.8 pm in both X- and Y-directions with the first resonance frequency being above 15 kHz. Lateral displacements are measured using an interferometer sensor. In this paper, we focus on presenting the novelty of the mechanical design and characterization of the nanopositioner in terms of system dynamics and sensor noise, with the ultimate goal of controller design for high-speed SPM. Copyright (c) 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)
This paper introduces a comprehensive voice-enabled assistance system aimed at enhancing the quality of life and independence of visually impaired individuals. The proposed system integrates multiple technologies, inc...
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ISBN:
(数字)9798331536695
ISBN:
(纸本)9798331536701
This paper introduces a comprehensive voice-enabled assistance system aimed at enhancing the quality of life and independence of visually impaired individuals. The proposed system integrates multiple technologies, including Optical Character Recognition (OCR), object detection, and distance measurement, to address challenges in reading, identifying objects, and safe navigation. The system is implemented on a Raspberry Pi 4 Model B platform, leveraging Tesseract OCR for text recognition, YOLOv5 for real-time object detection, and ultrasonic sensors for precise distance measurement. These components work seamlessly together to provide real-time audio feedback, which acts as an intuitive and accessible interface for the users. By combining these advanced technologies, the system ensures enhanced usability, safety, and independence for individuals with visual impairments, enabling them to navigate and interact with their environment more effectively. This work emphasizes the importance of assistive technologies in creating inclusive solutions for people with disabilities.
The proceedings contain 25 papers. The topics discussed include: aerial manipulation using a human-embodied drone interface;healthcare professionalś attitudes towards the organization of care services and the adoption...
ISBN:
(纸本)9781665479660
The proceedings contain 25 papers. The topics discussed include: aerial manipulation using a human-embodied drone interface;healthcare professionalś attitudes towards the organization of care services and the adoption of welfare robots in Norway;design and evaluation of energy charge mechanism for the hip joint motion : -toward the application to a new wearable device for passive walking assistance;metrics for evaluating social conformity of crowd navigation algorithms;motor imitation: bio-inspired vs direct geometric control;a new methodological approach to analyze human roles in human-robot interaction scenarios;increased complexity of a human-robot collaborative task may increase the need for a socially competent robot;effect of robot gazing behavior on human comfort and robot predictability in navigation;and on the development of autonomous assistive robotic system for drinking task for people with disability.
The study presents an innovative device for real-time counting and identification of adult mosquitoes, integrating IoT technologies, infrared sensors, and machine learning algorithms. The device enhances the functiona...
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ISBN:
(数字)9798331535087
ISBN:
(纸本)9798331535094
The study presents an innovative device for real-time counting and identification of adult mosquitoes, integrating IoT technologies, infrared sensors, and machine learning algorithms. The device enhances the functionality of the existing ECODEV trap by offering high accuracy, low cost, energy autonomy, and the capability for both quantitative and qualitative analysis of mosquito populations. The system's architecture is based on sensors that capture mosquito movements and transmit the data via GSM to a central server for analysis. Users can monitor the measurements in real-time through maps and applications. The device was successfully tested, achieving a counting accuracy of 93.29%, surpassing traditional systems. In the future, this technology could be expanded to other applications, such as agriculture and livestock management.
An integrated computerized locking mechanism is vital for upholding the safety of train movements within railway networks. As computer technology progresses swiftly, conventional locking systems are encountering a mul...
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ISBN:
(数字)9798350316537
ISBN:
(纸本)9798350316544
An integrated computerized locking mechanism is vital for upholding the safety of train movements within railway networks. As computer technology progresses swiftly, conventional locking systems are encountering a multitude of difficulties, with the identification and processing of visual interface data being a key challenge. Furthermore, the pace of technological innovation has led to an array of other obstacles for these systems to surmount. The deployment of cutting-edge technologies, including AI and machine learning, has markedly enhanced the functionality and security of these mechanisms. Anticipatedly, the future will witness the development of even more sophisticated and secure railway traffic management systems. These evolving technologies serve as formidable instruments in tackling the prevailing issues and challenges. Specifically, the computerized interface locking system is indispensable in guaranteeing the safe running of trains within railway *** paper applies the image processing capability of OpenCV to preprocess and extract characteristics from the interlocking interface image. Subsequently, the enhanced clustering algorithm of RV-DBSCAN is utilized to identify the text of signaling equipment diagrams, followed by the implementation of the Paddle OCR (Optical Character Recognition) machine learning algorithm to classify and identify the images. The recognition accuracy rate for information related to railway signaling equipment stands at 92.6%. This process offers a dependable approach for extracting and recognizing station information from computerized interlocking interfaces.
Remote sensor network and radio frequency identification innovation are on the world's outskirts. In this age of data innovation, the library as a repository for information gathering and distribution is critical....
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