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ASME 2024 International Mechanical engineering Congress and Exposition, IMECE 2024

作者： Guerra-Zubiaga, David A. Colani, Melody Richards, Gershom Cavens, Katrina Block, Logan Olliff, George Aksu, Murat Kennesaw State University Department of Robotics and Mechatronics Engineering MariettaGA United States GaithersburgMD United States

ISBN: (纸本)9780791888605

Data, Information, and knowledge models are vital research topics explored in recent years to support advanced manufacturing decisions through important ***, several tools assist in modeling these parameters, one of which is known as Knowledge-Based engineering Systems (KBES).A KBES integrates different knowledge types to support decisions and allows the incorporation of multiple types of manufacturing and organization standards to work in a variety of business *** the increased complexity of industrial manufacturing systems caused by Industrial 4.0 trends such as digital manufacturing and cyber-physical technology like digital twins (DTs), the use of KBES is becoming an essential tool in Project Life Management (PLM) to ensure DT design is suitable to preserve the integrity of industrial *** paper aims to utilize Industry 4.0 trends, ISO standards, and the Computer Integrated Manufacturing Open System Architecture (CIMOSA) as a framework to build a KBES that assists in the development of a novel DT *** model supports the design and implementation of a DT within the environment of an intelligent robotic manufacturing *** proposed DT model is beneficial in preserving industrial standards in DT development and aids as a reference for the foundation of DTs design in other manufacturing environments.A case study is performed by applying the proposed DT model to the design and implementation of a DT within a basic pick-and-place system, proving its applicability and function in the support of intelligent robotic manufacturing systems. Copyright © 2024 by National Institute of Standards and Technology (NIST)

关键词： Smart manufacturing

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Modelling and experimental investigation of micro-dimpled structures milling with spiral trajectory tool reciprocating motion

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Chinese Journal of Aeronautics 2025年第2期38卷 577-596页

作者： Guangzhou WANG Linjie ZHAO Qi LIU Xiguang LI Yazhou SUN Mingjun CHEN School of Mechatronics Engineering Harbin Institute of TechnologyHarbin 150001China Centre for Precision Manufacturing DMEMUniversity of StrathclydeGlasgow G11XJUK State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China

To mill fine and well-defined micro-dimpled structures,a machining manner of spiral trajectory tool reciprocating motion,where the tool repeats the process of‘feed milling–retract–cutting feed–feed milling again’along the spiral trajectory,was *** the kinematics analysis,it is found that the machining quality of micro-dimpled structures is highly dependent on the machining trajectory using spiral trajectory tool reciprocating *** reveal this causation,simulation modelling and experimental studies were carried out.A simulation model was developed to quantitatively and qualitatively investigate the influence of the trajectory discretization strategies(constant-angle and constant-arc length)and parameters(discrete angle,discrete arc length,and pitch)on surface texture and residual height of micro-dimpled ***,micro-dimpled structures were milled under different trajectory discretization strategies and parameters with spiral trajectory tool reciprocating motion.A comprehensive comparison between the milled results and simulation analysis was made based on geometry accuracy,surface morphology and surface roughness of milled ***,the errors and factors affecting the above three aspects were *** results demonstrate both the feasibility of the established simulation model and the machining capability of this machining way in milling high-quality micro-dimpled *** trajectory tool reciprocating motion provides a new machining way for milling micro-dimpled structures and micro-dimpled functional *** an appropriate machining trajectory can be generated based on the optimized trajectory parameters,thus contributing to the improvement of machining quality and efficiency.

关键词： Tool reciprocating motion Spiral trajectory Micro-dimpled structure Micromachining Simulation modelling with diamond tool Surface texture

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ADVANCING AUTONOMOUS BACKING OF TRACTOR-TRAILER SYSTEMS: A DYNAMIC MODEL APPROACH

ADVANCING AUTONOMOUS BACKING OF TRACTOR-TRAILER SYSTEMS: A D...

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ASME 2024 International Mechanical engineering Congress and Exposition, IMECE 2024

作者： Sah, Dhirendra K. Selekwa, Majura F. Mechatronics and Robotics Laboratory Department of Mechanical Engineering North Dakota State University FargoND58102 United States

ISBN: (纸本)9780791888636

Recent developments in sensing and information processing technology have seen an increased interest in applications of autonomous vehicles. Many driverless vehicles have been tested in various places and environments across the world. Automated backing of tractor-trailer systems is one of the problems yet to be fully addressed in this endeavor, even experienced drivers find it challenging to perform backup maneuvers of tractor-trailer systems in confined spaces. Achieving a fully automated backup maneuver of a tractor-trailer vehicle requires, among other things, the presence of a high-fidelity mathematical model of the vehicle. Often this problem is approached from a kinematic standpoint where the vehicle and the trailer are modeled using a bicycle structure formulation by concentrating weights at the axle centers only, which limits not only the maneuverability of the vehicle system but also its speed. This paper proposes a dynamic model of a tractor-trailer that treats the system as a finite structure of interconnected multi-bodies subjected to various forces and moments emanating from terramechanics and other non-conservative forces acting on the vehicle. This approach presents are more realistic motion of the vehicle even in confined spaces enabling it to avoid colliding with unintended objects during the maneuver. Simulation results by using such a model show that the vehicle can autonomously perform back up maneuvers in as limited clearances as 5% of the vehicle width at moderate speeds without significant slip. Copyright © 2024 by ASME.

关键词： Truck trailers

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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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Au-Based Biocompatible Capacitive Strain Sensor 5

Au-Based Biocompatible Capacitive Strain Sensor

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5th IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2023

作者： Lee, Mugeun Kim, Hwajoong Kim, Jinho Jeong, Minji Lee, Jaehong Daegu Gyeongbuk Institute of Science and Technology Department of Robotics and Mechatronics Engineering Daegu Korea Republic of

ISBN: (纸本)9781665457330

Various strain sensors have been developed due to their capability to monitor a piece of basic physiological information. However, a lot of existing strain sensor is based on planar soft sensors, which have a few critical challenges such as structural mismatch and stable fixation on the target organ. Here, we present a 1-dimensional and biocompatible capacitive fiber strain sensor. The fiber strain sensor comprises a conductive fiber electrode based on Au, a representative biocompatible material. The structure of the fiber strain sensor is a double helix. The sensor shows high sensitivity of 9.8 and high stability. © 2023 IEEE.

关键词： Biocompatibility

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Effect of Pneumatic Based Hybrid Robotic Gripper for Safer Handling of Complex Geometries 11

Effect of Pneumatic Based Hybrid Robotic Gripper for Safer H...

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11th IEEE International Conference on Advances in Computing and Communications, ICACC 2024

作者： Sivaraj, Santhosh Ravi, Ajay Jose, Bibin Joe Kaliyannan, Gobinath Velu Sivakumar, Rajkamal Amalraj, Riya Catherine Easwari Engineering College Department of Robotics and Automation TamilNadu Chennai600089 India Kongu Engineering College Department of Mechatronics Engineering TamilNadu Perundurai638060 India

ISBN: (纸本)9798350379136

The present research work mainly concentrates on development of hybrid grippers with the integration of hard and soft components for achieving object manipulation. By combining pneumatic actuation with mechanical fingers, complex geometries can be handled effectively. Pneumatic hybrid gripper fabricated with PLA and silicone rubber offers adaptability and versatility. Resistive sensors over silicone surface of gripper lead to cost-effective force detection and tactile sensing. The proposed gripper was designed and analyzed using Fusion 360 and ANSYS. Inflatable silicone rubber and gripper body were fabricated using liquid casting and Fused Deposited Modelling 3D printing techniques. Real-time feedback sensors were employed with fabricated gripper to get better performance. Testing proves its capability to handle loads up to 500g with a force of 3.3N. Finally, the assembled hybrid gripper offers a versatile solution for robotic manipulation, ensuring stability and minimizing damage across various industries. © 2024 IEEE.

关键词： Silicones

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A Novel IOT-Based Medicine Consumption System for Elders

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SN Computer Science 2022年第6期3卷 471页

作者： Abdullah, Raiyaan Ahmed, Riad Jamal, Lafifa Department of Robotics and Mechatronics Engineering University of Dhaka Dhaka 1000 Bangladesh

This paper introduces an IoT based medicine consumption which enables the elderly person to take the right medicine at the right time. Usually elder people need to take medicine several times daily. And there is a high chance to forget the medication time. Sometimes they also struggle to remember the name of the medicine. Our system tackles this problem and ensures proper monitoring of medicine pill consumption. The system provides convenient hardware and software support to serve the medicine in a user friendly way. It contains an effective image preprocessing pipeline along with Optical Character Recognition (OCR) to detect names from medicine strips. This is also robust in detecting the medicine even if part of the strip is torn. To match the detected text with the prescribed medicine in the database Bi-directional Long Short-Term Memory (BiLSTM) networks are used. The proposed system is lighting invariant as users might consume medicine at different times of the day. Testing was performed in three different conditions—normal, medium and low lighting. The preprocessing technique plays a crucial role to detect the medicine in every lighting condition. The system also has an easy to use interface which is built using modern web technologies to enter or update the medicine consumption time. The proposed system is better than existing solutions, as it contains an array of different features including medicine dispensation, storing records, medicine detection, medicine consumption history, etc. © 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Automated medication Computer vision Deep learning Elderly assistance Image processing IOT Optical character recognition

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INTEGRATION OF DIGITAL TWINS INTO VIRTUAL COMMISSIONING PRACTICES

INTEGRATION OF DIGITAL TWINS INTO VIRTUAL COMMISSIONING PRAC...

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ASME 2024 International Mechanical engineering Congress and Exposition, IMECE 2024

作者： Guerra-Zubiaga, David A. Richards, Gershom Forsberg, Paul Nwachukwu, Kingsley Burroughs, Andrew Sabula, Eric Kuts, Vladimir Kennesaw State University Department of Robotics and Mechatronics Engineering MariettaGA United States Tallinn University of Technology Department of Mechanical and Industrial Engineering Estonia

ISBN: (纸本)9780791888605

The demands of manufacturing equipment often led to operating the equipment most effectively to maximize productivity or *** need for maximized operating time for the equipment has made the maintenance aspect resort to more creative means to address the risk of equipment *** failure of equipment can range in effect from producing poor quality products, hindering the manufacturing process, or endangering the workers around ***, the damage done to equipment that has malfunctioned often causes a greater loss in profit as the equipment would need to be fixed or *** knowledge gap is in how a manufacturing plant can balance good quality maintenance without hindering the operation of the equipment *** historical maintenance practice is to run scheduled maintenance breaks on the equipment, check for system variables that have been shown to correlate to a decaying system or wait for the equipment to *** Commissioning (VC), which is the practice of using a simulated model of a system to explore the potential of a system without impeding the operation of the physical system, seems to be a sound *** paper explores the potential of integrating Digital Twins, a real-time simulation of a system, into the practice of VC to gather real-time data from the manufacturing *** the ability to collect and store complex data, the algorithms used to diagnose the system would enlighten the industry to various observations of the current practice of maintaining and operating certain *** the effectiveness and potential of this new data have yet to be defined, the ability to obtain the data would prove to be a great step forward in optimizing the maintenance and operation practices within the manufacturing industry. Copyright © 2024 by ASME.

关键词： Computer aided logic design

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A Study on Improving the Performance of Dynamic Model Based Redundant Navigation System for Sensor Fault Scenarios

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Journal of Institute of Control, robotics and Systems 2025年第4期31卷 351-359页

作者： Ko, Bo Sung Choi, Hyeong Jun Jeon, Myung Jun Cho, Hyeon Jin Song, Jin Woo Department of Artificial Intelligence and Robotics and Convergence Engineering for Intelligent Drone AIRI Sejong University Korea Republic of Department of Intelligent Mechatronics Engineering and Convergence Engineering for Intelligent Drone AIRI Sejong University Korea Republic of Agency for Defense Development Maritime Technology Research Institute Korea Republic of

This study proposes a redundant navigation system for UUV (Unmanned Underwater Vehicle) utilizing a 6 DOF (Degree of Freedom) VDM (Vehicle Dynamic Model). The system is designed to enable safe UUV asset return when all navigation sensors become inoperable. Since it is impossible to perfectly determine VDM coefficients through water tank experiments, a method to improve VDM output accuracy in real time during UUV mission is necessary. Here in this study, we introduce real-time adaptive 6 DOF VDM output error compensation algorithm to enhance the performance of redundant navigation systems. This research aims to establish the foundation for backup navigation solutions in situations when critical UUV sensor failures occur. © ICROS 2025.

关键词： Water tanks

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