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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Jinwoong Jeong Yongwoo Kim Sanghoon Lee Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology (DGIST) Daegu Republic of Korea

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

This paper proposes the optimization of polyimide microneedle electrode using a 3D print double molding fabrication. Various shapes (circle, triangle, square, star, and hexagon) of microneedles are investigated by changing printing angles and double molding process. Aspect ratio, insertion force, and break point of the fabricated microneedles are investigated to maximize penetration capacity. Also, muscle signals were obtained using optimized microneedle electrodes to distinguish hand gesture.

关键词： Electrodes Fabrication Shape Force Stars Polyimides Muscles Three-dimensional printing Recording Optimization

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Machine Vision based automated 3-DOF Articulated Robot for fruit defect Identification and Segregation 14

Machine Vision based automated 3-DOF Articulated Robot for f...

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14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Ramkumar, S. Venusamy, Kanagaraj Eswaran, A. Jeevitha, N. Ramyapriya, G. Kannadhasan, S. Rajalakshmi Engineering College Department of Robotics and Automation Thandalam Chennai India Rajalakshmi Engineering College Department of Mechatronics Engineering thandalam Chennai India Roever Engineering College Department of Electrical and Electronics Engineering Perambalur India Study World College of Engineering Department of Electronics and Communication Engineering Coimbatore Chennai India

ISBN: (纸本)9798350335095

The automation scenario in the current industrial as well as domestic applications has seen an exponential growth over the decade. Robot plays an important role in industrial automation but in some cases, it needs some extent of human intervention in quality inspection. This paper focuses on solving problems related to defect identification and segregation of fruits using 3-DOF articulated robot configuration with the integration of machine vision system and deep learning algorithms. To perceive the features of object, A USB camera is utilized. The machine vision algorithm will next use a variety of methods for processing digital images to extract the relevant data and decide whether to continue processing the product, redirect it to a different stage of production, or just throw it away. In recent days, the advancement in deep learning leads to the phenomenal growth in computer vision. There are many state-of-the-art object detection algorithms available in deep learning technology and we are using Inception-V3 algorithm that can be used for the machine vision operation in our solution. Based on the results from the algorithm, segregation operation is carried out successfully. © 2023 IEEE.

关键词： Fruits

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AgileVision Academy: Indoor Drone Navigation and Obstacle Avoidance 14

AgileVision Academy: Indoor Drone Navigation and Obstacle Av...

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14th International Conference on Information Technology in Medicine and Education, ITME 2024

作者： Jiang, Haolong Gu, Lingdan Wang, Jiayu Lan, Xiao Liu, Qinyao Wang, Fanxin Xi'an Jiaotong Liverpool University University of Liverpool School of Advanced Technology Department of Electrical and Electronic Engineering Suzhou China Xi'an Jiaotong Liverpool University School of Robotics Department of Intelligence Robotics Engineering With Contemporary Entrepreneurialism Suzhou China Xi'an Jiaotong Liverpool University School of Advanced Technology Department of Information and Computer Science Suzhou China Xi'an Jiaotong Liverpool University School of Advanced Technology Department of Electrical and Electronic Engineering Suzhou China Xi'an Jiaotong Liverpool University School of Advanced Technology Department of Mechatronics and Robotics Suzhou China

ISBN: (纸本)9798350356670

Navigating cluttered indoor environments presents a significant challenge for aerial robots, requiring agility, speed, and a high level of reliability to avoid collisions. This project aims to address this challenge by developing advanced algorithms for lightweight drones, enabling them to reach target location and carrying out delivery efficiently and safely. Utilizing camera data to map and avoid obstacles, we create a system that not only maps and perceives the environment but also navigates its path to the destination. Included in the educational content, this project demonstrates the effectiveness of the technology through practical applications and real-world testing, helping the next generation of engineers accumulate technical experience and broaden their understanding of drone navigation algorithms and applications in system integration. It has a milestone impact on education and development of the drone field. © 2024 IEEE.

关键词： Drones

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Micro Heater Design Procedure with Backside Etching for Medical Applications 48

Micro Heater Design Procedure with Backside Etching for Medi...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Tolba, Muhammad S. Fanni, Mohamed Nasser, Gamal A. Umezu, Shinjiro Fath El-Bab, Ahmed M. R. Egypt-Japan University of Science and Technology Mechatronics and Robotics Department Alexandria Egypt Helwan Univeristy Faculty of Engineering Mechanical Engineering Department Cairo Egypt Assuit University Mechatronics Engineering Assuit Egypt Waseda University School of Creative Science and Engineering Tokyo Japan

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

The incorporation of micro-heaters in medical analysis devices significantly aided in the miniaturization of such devices and shortened the processing time. Despite the fact that various micro-heater designs have been proposed, a high-speed heating rate for micro-heaters remain a challenge. The reduction of thermal mass allows for this high-speed to be accomplished. Furthermore, backside etching of the substrate is critical in increasing the rate of temperature change in thin-film micro heaters. This will speed up the thermal cycle, paving the way for high-speed, portable, and cost-effective medical devices like the polymerase chain reaction (PCR). The size of the backside opening, on the other hand, should be carefully chosen to ensure the heater's rigidity. The larger the backside opening, the faster the thermal change and the lower the stiffness of the chip. An accurate simulation investigation was performed in this study using the CoventorWare software tool to obtain the optimal back side design for the designed micro heater in which the temperature change process is accelerated while the chip's strength is maintained. This study allows us to achieve a high-strength, high-speed micro-heater with superior efficiency. The heater's dimensions are designed to warm up a chip of size 30x40 mm in accordance with Peltier's chip size. For the provided heater dimensions, a series of squares with side lengths of 2.5 mm per square and a distance of 1 mm between each square was found to be the best design for the backside etching. It raises the heating rate to 22 °C/s and allows the heater to withstand pressure up to 1.8 MPa. © 2022 IEEE.

关键词： Polymerase chain reaction

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Design, Fabrication, and Control of Micro-Heater Based on Joule Effect for Low-Cost Medical Device 48

Design, Fabrication, and Control of Micro-Heater Based on Jo...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

Temperature control is vital in micro-heaters used in medical devices such as the polymerase chain reaction (PCR). The primary goal is to achieve tight control and a high rate of heating for a portable, low-cost medical device. Even though the fact that several designs for micro-heaters have been proposed, uniform temperature distribution and the high-speed heating rate remain challenging for micro-heaters. This high speed is achieved by the reduction of the thermal mass. The most common methods for reducing thermal mass or heating time in a device are to establish a highly desired structural design and to select a better heating mechanism with a robust controller. Increasing the thermal mass improves temperature distribution on the heater surface but slows heat transfer. On the other hand, removing the thermal mass makes the controller struggle to provide a high-temperature uniformity distribution on the micro-heater surface. In this study, we provide a design of a cost-effective, high-speed, thin-film micro-heater based on the Joule heating technique. The CoventorWare software tool is used to simulate the temperature distribution of the micro-heater. The heater provides a well-distributed temperature on the heated surface. When a DC voltage of 24 V was applied for 250 s, a maximum temperature of 272 °C was obtained. Besides, the heater's average heating rate is 15 °C/s. The heater is then fabricated with the micro-electromechanical systems (MEMS) technology on a silicon substrate. The transfer function of the heating system is computed. Two controllers are designed to control the temperature of the micro-heater and improve its response. The classical proportional-integral-derivative (PID) controller produces rise time (Tr) of 21.9 s, settling time (Ts) of 73.3 s, and a maximum overshoot (Mp) of 4.8 %. Then by applying a fractional-order proportional-integral-derivative (FOPID) controller, a great enhancement in the system performance is observed, the controller is

关键词： Thin films

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Fuzzy Feedback Control for Electro-Hydraulic Actuators

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Intelligent Automation & Soft Computing 2023年第5期36卷 2441-2456页

作者： Tan Nguyen Van Huy Q.Tran Vinh Xuan Ha Cheolkeun Ha Phu Huynh Minh School of Engineering-Technology Thu Dau Mot UniversityThu Dau Mot City590000Vietnam Faculty of Engineering-Technology Nguyen Tat Thanh UniversityHo Chi Minh City754000Vietnam Hue Industrial College Hue City530000Vietnam Robotics and Mechatronics Lab University of UlsanUlsan City44610Korea

Electro-hydraulic actuators(EHA)have recently played a signiﬁcant role in modern industrial applications,especially in systems requiring extremely high *** can be explained by EHA’s ability to precisely control the position and force through advanced sensors and innovative control *** of the promising approaches to improve control accuracy for EHA systems is applying classical to modern control algorithms,in which the proportional–inte-gral–derivative(PID)algorithm,fuzzy logic controller,and a hybrid of these methods are popular *** this paper,we developed a novel version of the fuzzy control algorithm and linear feedback control method,namely fuzzy lin-ear feedback control,to improve the control *** achieve the highest performance,weﬁrst designed a mathematical EHA model based on the Matlab/Simulink software packages thanks to the selected parameters,which are similar to a real EHA ***,we respectively applied PID,fuzzy PID(FPID),and fuzzy linear feedback control(FLFC)before comparing them to have a full view of the outstanding advantages of the proposed *** simulation results showed that the proposed FLFC algorithm is approximately 99%and 77%super-ior in performance to the PID and feedback control algorithms,respectively.

关键词： Electro-hydraulic actuator fuzzy PID feedback control

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Vision Based Leader-Follower Control of Wheeled Mobile Robots using Reinforcement Learning and Deep Learning

Vision Based Leader-Follower Control of Wheeled Mobile Robot...

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International Symposium on System and Software Reliability (ISSSR)

作者： Kayleb Garmon Ying Wang Department of Robotics and Mechatronics Engineering Kennesaw State University Marietta GA USA

Vision-based control of mobile robots often involves complex calculations to derive a control law. The reinforcement learning algorithm (Q-learning) offers a machine learning method to extrapolate a control law from an environment given discretized actions, without the need of complex calculations. In this paper, a vision-based controller is created using Q-Learning to enable tracking in a leader-follower configuration of two nonholonomic autonomous mobile robots. The follower robot gathers its desired trajectory values by using a deep learning SSD model to identify a distinguishing visual feature on the leader robot and uses a lidar to determine the distance between two robots. These parameters are utilized to select an optimal action of the follower robot through reinforcement learning. The emulated results in a ROS Gazebo environment show this method to be effective in enabling a wheeled mobile robot to follow another, while simultaneously avoiding obstacles.

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A new active rehabilitation training mode for upper limbs based on Tai Chi Pushing Hands

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Biomimetic Intelligence & robotics 2024年第3期4卷 82-92页

作者： Xiangpan Li Liaoyuan Li Jianhai Han Bingjing Guo Ganqin Du School of Mechatronics Engineering Henan University of Science and TechnologyLuoyang 471003China Henan Provincial Key Laboratory of Robotics and Intelligent Systems Luoyang 471003China School of Automotive Engineering Hubei University of Automotive TechnologyShiyan 442002China Hubei Key Laboratory of Automotive Power Train and Electronic Control Shiyan 442002China The First Affiliated Hospital of Henan University of Science and Technology Luoyang 471003China

Robot-assisted rehabilitation is a crucial approach to restoring motor function in the ***,the current training trajectory lacks sufficient theoretical or practical support,and the monotony of single-mode training is a *** Chi Pushing Hands,a beneficial and effective daily exercise,has been shown to improve balance function,psychological state,and motor function of the upper extremities in patients recovering from *** address these issues,we propose a new active rehabilitation training that incorporates Tai Chi Pushing Hands movements and yin-yang balance *** training trajectory and direction are encoded by the velocity field and consist of two processes:yang(push)and yin(return).During yang,the limb actively pushes the robot to move,while during yin,the limb actively follows the robot’s *** provide necessary assistance,an admittance controller with self-adaptive parameters is *** addition,we introduce two indexes,the‘Intention Angle’(ϖ)and the time ratio(Γ),to evaluate motion perception *** experiment was conducted on a 4-degree-of-freedom upper limb rehabilitation robot platform,and the subjects were separated into a familiar group and an unfamiliar *** experiment results show that the training could be completed well no matter whether the subject is familiar with Tai Chi Pushing Hands or *** parameters and the movement of the robot can be adjusted based on the interactive force to adapt to the ability of the subject.

关键词： Tai Chi Push Hands Velocity field Self-adaptive admittance Upper limb rehabilitation Active training

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Tool geometry design and microstructure fabrication by micro flat-end milling on soft-brittle LiF surface

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Journal of Manufacturing Processes 2025年 149卷 868-877页

作者： Lei, Hongqin Zhang, Zixiao Chen, Liang Guo, Yanqiu Cheng, Jian Zhao, Linjie Chen, Mingjun Yang, Dinghuai Chen, Guang State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin 150001 China School of Mechatronics Engineering Harbin Institute of Technology Harbin 150001 China

The LiF crystal with the three-layer step microstructure is vital in the laser-driven quasi-isentropic compression experiment. However, due to the high chemical activity and easy deliquescence of soft-brittle LiF crystals, brittle fracture can easily occur during the microstructure preparation achieved by the micro-milling technology. Therefore, it is essential to determine the optimal tool geometry and preferred processing parameters to achieve an ultra-smooth surface. A finite element (FE) model of the tool geometry optimization for LiF crystals is constructed based on dimensional analysis and the stress-strain curve obtained by nanoindentation tests. Micro-slot and microstructure preparation experiments are conducted to verify the cutting performance of the manufactured cutters with optimal geometry. It is found that the optimal negative rake/relief angles of side- and bottom edges are determined to be −35°/9° and − 25°/20° for tool I from the perspectives of the tensile stress, cutting force, and tool surface stress (σ1), respectively. For tool II, optimal negative rake/relief angles of the side- and bottom edges are −60°/15° and − 55°/20°, respectively. The σ1 of tool II is 110.3 MPa, which is 0.74 times and 0.95 times that of tool I (149 MPa) and the CBN tool (116.1 MPa), respectively, indicating that tool II has the most substantial wear resistance under the same processing parameters. Besides, compared with other tool structures, the cutting force and tensile stress are the smallest when using the tool II. The small stress can make the milling process stable, and the vibration and impact generated by the tool are smaller, which helps to make the micro-milled surface smooth. Therefore, the average surface roughness processed by tool II is 0.70 times and 0.47 times that of the CBN tool and tool I, respectively, further illustrating the best cutting performance of tool II. Furthermore, for tool II, the optimal spindle speed and feed per tooth are 40,000 r/min a

关键词： Cutting performance Flat-end milling LiF crystals Microstructure fabrication Tool geometry

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External-Wrench Estimation for Aerial Robots Exploiting a Learned Model

External-Wrench Estimation for Aerial Robots Exploiting a Le...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Ayham Alharbat Gabriele Ruscelli Roberto Diversi Abeje Mersha Smart Mechatronics and Robotics research group Saxion University of Applied Science Enschede The Netherlands Robotics and Mechatronics research group Faculty of Electrical Engineering Mathematics & Computer Science University of Twente Enschede The Netherlands Department of Electrical Electronic and Information Engineering University of Bologna Bologna Italy

ISBN: (数字)9798331513283

ISBN: (纸本)9798331513290

This paper presents an external wrench estimator that uses a hybrid dynamics model consisting of a firstprinciples model and a neural network. This framework addresses one of the limitations of the state-of-the-art modelbased wrench observers: the wrench estimation of these observers comprises the external wrench (e.g. collision, physical interaction, wind); in addition to residual wrench (e.g. model parameters uncertainty or unmodeled dynamics). This is a problem if these wrench estimations are to be used as wrench feedback to a force controller, for example. In the proposed framework, a neural network is combined with a first-principles model to estimate the residual dynamics arising from unmodeled dynamics and parameters uncertainties, then, the hybrid trained model is used to estimate the external wrench, leading to a wrench estimation that has smaller contributions from the residual dynamics, and affected more by the external wrench. This method is validated with numerical simulations of an aerial robot in different flying scenarios and different types of residual dynamics, and the statistical analysis of the results shows that the wrench estimation error has improved significantly compared to a model-based wrench observer using only a firstprinciples model.

关键词： Uncertain systems Analytical models Statistical analysis Atmospheric modeling Dynamics Neural networks Observers Autonomous aerial vehicles Numerical simulation Numerical models

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