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检索条件"任意字段=6th International Conference on Informatics in Control, Automation and Robotics"

共 2796 条记录，以下是81-90 订阅

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Evaluation of Cuffless Blood Pressure Estimation Accuracy at Each Heartbeat During Exercise 6th

Evaluation of Cuffless Blood Pressure Estimation Accuracy a...

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6th international conference on Biomedical and Health informatics, ICBHI 2024

作者： Ono, Kouki Maeda, Yuka Yoshimura, Takumi Huang, Ming Tamura, Toshiyo Master’s Program in Intelligent and Mechanical Interaction Systems University of Tsukuba Tsukuba305-8577 Japan Institute of Systems and Information Engineering University of Tsukuba Tsukuba305-8577 Japan Medical and Welfare Engineering Tokyo Metropolitan College of Industrial Technology Tokyo116-8523 Japan School of Data Science Nagoya City University Nagoya467-8501 Japan Future Robotics Organization Waseda University Tokyo169-8050 Japan

ISBN: (纸本)9783031863226

Continuous blood pressure monitoring is crucial because of its dynamic nature, influenced by factors such as physical activity and mental stress. Although cuffless blood pressure estimation is a promising technique for continuous monitoring, its accuracy during drastic fluctuations, especially during exercise, remains insufficiently validated. In this study, we evaluated a simple Pulse Arrival Time based blood pressure estimation method and several improved methods for sharp fluctuations induced by exercise. Sixteen subjects in the experiment, with data from 13 valid for analysis. the proposed method achieved an average correlation of 0.527 in systolic blood pressure, suggesting that cuffless blood pressure estimation could be applied to estimate continuous blood pressure variability during exercise. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Blood pressure

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Proceedings - 2021 6th international conference on automation, control and robotics Engineering, CACRE 2021

Proceedings - 2021 6th International Conference on Automatio...

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6th international conference on automation, control and robotics Engineering, CACRE 2021

ISBN: (纸本)9781665435765

the proceedings contain 104 papers. the topics discussed include: an accelerated iterative learning control approach for X-Y precision plane motion stage;backlit image enhancement based on illumination-reflection imaging model;beetle antennae search guided RRT for path planning of GIS inspection and maintenance robot;fault-tolerant control of trajectory tracking for mobile robot;research on development status of surgical robot based on patent analysis;adaptive Pi controller for dredged pipeline transportation;obstacle avoidance for autonomous mobile robots in unstructured human environments;an autonomous robotic system for collecting garbage over small water bodies;and adaptive fuzzy dynamic surface control for a class of fractional-order uncertain nonlinear system.

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2023 6th international conference on robotics, control and automation Engineering, RCAE 2023

2023 6th International Conference on Robotics, Control and A...

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6th international conference on robotics, control and automation Engineering, RCAE 2023

ISBN: (纸本)9798350315301

the proceedings contain 86 papers. the topics discussed include: lithium battery capacity estimation based on improved convolutional neural network with self-attention mechanism;a component construction progress surveillance method using LiDAR and BIM;real-time SLAM with point-line features using EDLines in unknown aquatic environments;acoustic emission signal characteristics extraction based on improved EMD method for industrial robot body;research on full-envelope flight control of a new type tail-sitter UAV;exploring the effect of pitching and rolling spine angle for a galloping quadruped robot via trajectory optimization;integrating 3DS max with robot technology: a case study on the robot palletizer system;a pseudo-inverse redundancy-based resolution scheme at the acceleration level to control robotic arm motion;and physics-informed neural network approach for numeric modeling of rapid thermal processing system.

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Research on rapid measurement technology of railway line based on 3D coordinate acquisition trolley 6

Research on rapid measurement technology of railway line bas...

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6th international conference on Geoscience and Remote Sensing Mapping, GRSM 2024

作者： Zhang, Maolin Cui, Mengzhen Li, Congxu Chen, Yuan Beijing University of Civil Engineering and Architecture School of Geomatics and Urban Spatial Informatics Beijing100044 China Institute of Computing Technologies China Academy of Railway Sciences Corporation Limited Beijing100015 China Beijing University of Civil Engineering and Architecture Beijing100044 China

ISBN: (纸本)9781510688018

the traditional method of remeasurement of operational railroad has many processes, complicated operations and low efficiency, and the time of railroad maintenance days is decreasing, so new demands are made on the remeasurement method of operational railroad. In response to this problem, this paper researches the rapid measurement technology of operational railroad to achieve the rapid and high-precision acquisition of spatial measurement data in a wide range of operational railroad and the rapid and high-precision measurement of railroad track line information. this paper mainly studies the railroad line 3D coordinate acquisition trolley and its acquisition system, mainly including the key technology research of data synchronization technology, data fusion Kalman filter technology, combined navigation solution technology and track flat and longitudinal section fitting optimization research. through this research, the three-dimensional coordinate acquisition trolley of railroad line can obtain high-precision railroad track alignment information without relying on CPⅢ control network, reduce the number of times on the track, reduce the operation safety hazards, save cost and human resources. © 2025 SPIE.

关键词： Data fusion

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2022 6th international conference on robotics, control and automation, ICRCA 2022

2022 6th International Conference on Robotics, Control and A...

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6th international conference on robotics, control and automation, ICRCA 2022

ISBN: (纸本)9781665481748

the proceedings contain 17 papers. the topics discussed include: kinematic modelling and simulation of LeArm robot;research progress and prospect of rotor flying manipulator;MR meets robotics: a review of mixed reality technology in robotics;a few samples underwater fish tracking method based on semi-supervised and attention mechanism;implementing robotic pick and place with non-visual sensing using reinforcement learning;research on the parameters of feature extraction and matching algorithms for breech face comparisons;crawler robot indoor positioning based on a combination of Bluetooth and IMU;a broad learning system based method for estimating force in human-robot interaction;fast and accurate: the perception system of a formula student driverless car;design of FDM printer controller detection system;CNC control and simulation system for the artisanal cutting of leather accessories from a shoe factory;novel Lorentz anti-roll inertially stabilized platform;and research of testing technology of distributed safety and stability control system.

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A Meta-reinforcement Learning Framework for Adaptive Quadrotor UAV Attitude control 25th

A Meta-reinforcement Learning Framework for Adaptive Quadro...

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25th international conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2024

作者： Zhao, Kaidong Li, Yanjie Liu, Zihan Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics Shenzhen China School of Mechanical Engineering and Automation The Harbin Institute of Technology Shenzhen Shenzhen518055 China

ISBN: (纸本)9789819642069

this paper presents a meta-reinforcement learning approach for quadrotor UAV attitude control, addressing the limitations of traditional control methods in complex, dynamic, and uncertain environments. Our method integrates the advantages of context learning, Gaussian sampling, and multi-task training to rapidly adapt to diverse aircraft parameters and environmental conditions. Specifically, we utilize historical information quadruples as contextual data to accurately estimate current task characteristics through real-time observation and learning. In the latent space, we employ Gaussian sampling to effectively handle unknown UAV parameters. To validate the method’s efficacy, we conducted a series of experiments in the Bullet simulator, including single attitude tracking, resultant acceleration control, and continuous trajectory tracking. Experimental results demonstrate that our approach significantly outperforms traditional PID controllers and domain randomization-based SAC methods in terms of stability, rapid response, and trajectory tracking precision. through multi-task training, our controller has developed the ability to swiftly adapt to novel situations. this research provides a robust and flexible solution for adaptive control of quadrotor UAVs, showing promise for more efficient and stable flight control in complex and dynamically changing environments. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Reinforcement learning

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Cuffless Blood Pressure Estimation Based on PPG Features 6th

Cuffless Blood Pressure Estimation Based on PPG Features

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6th international conference on Biomedical and Health informatics, ICBHI 2024

作者： Chen, Yu-Xian Sun, Ming-Hsuan Lu, Chi-Jen Hung, Wen-Kai Lin, Yue-Der Department of Automatic Control Engineering Feng Chia University Taichung40724 Taiwan Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung40724 Taiwan

ISBN: (纸本)9783031863226

Cardiovascular diseases (CVD) are a leading cause of death, encompassing conditions like heart disease, hypertension, and diabetes, which increase the risk of myocardial infarction and stroke. Continuous monitoring of blood pressure is crucial due to its significant correlation with these conditions. However, traditional methods are often invasive, causing discomfort and potential infections. this study aims to develop a continuous, cuffless blood pressure detection system using data from approximately 9,000 patients in the MIMIC II database, totaling over 2 million records. the system utilizes photoplethysmography (PPG) to extract temporal and waveform features, with regression analysis for feature reduction. A Transformer-based deep learning model is employed to establish the relationship between PPG features and blood pressure. the mean error (ME) and standard deviation (SD) for systolic (SBP) and diastolic blood pressure (DBP) are −0.14 ± 9.05 and −1.15 ± 5.45, respectively. According to AAMI and BHS standards, diastolic pressure meets AAMI criteria, with systolic and diastolic pressures achieving Grade B and Grade a levels, respectively. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Photoplethysmography

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Ensuring Kinematic Feasibility for Mobile Manipulators in Industrial Assembly: A Behavior Tree Based Approach 6

Ensuring Kinematic Feasibility for Mobile Manipulators in In...

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6th international conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Deshpande, Kapil Akkaladevi, Sharath Chandra Propst, Matthias Hofmann, Michael Pichler, Andreas Alexakis, George Profactor GmbH Robotics and Automation Systems Group Steyr4400 Austria Foundation for Research and Technology - Hellas Heraklion711 10 Greece

this paper describes a robot agnostic approach to ensure kinematic feasibility of a mobile manipulator. In this work a mobile manipulator's ability to pick and place tools on a shop floor has been presented, where the two tasks are hindered by accurate movement of the platform and the joint limits of the manipulator combined with less coordination between the platform navigation controller and the manipulation controller. the robotic platform presented in this paper uses two motion planners one for the manipulator and the other for the platform. the planner for the manipulator takes into consideration current position of the platform and its joint limits to plan motion to a 3D location which may be sometimes unreachable. Similarly, if the navigation errors of the platform are quite high the feasibility of the arm to perform pick and place task is significantly reduced. therefore use of these two independent planner results in sub-optimal solutions. To pro-actively help both the planners this paper describes a Behavior Tree (BT) based forward simulation technique in-order to plan ahead for the task by finding suitable platform stopping position while also re-actively avoiding object detection, pick and place failures by performing dynamic manipulation planning. this paper also validates such forward simulation technique with a mobile manipulator operating in an automotive human robot collaboration scenario. © 2024 the Authors. Published by Elsevier B.V.

关键词： Collaborative robots

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Value Stream Mapping for Smart Pharmaceutical Management in a thai Hospital 6

Value Stream Mapping for Smart Pharmaceutical Management in ...

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6th international conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Boonsothonsatit, Ganda Silapunt, Rardchawadee Vongbunyong, Supachai Kaemarungsi, Kamol Chanpuypetch, Wirachchaya Chonsawat, Nilubon Graduate School of Management and Innovation King Mongkut's University of Technology Thonburi Thailand Electronic and Telecommunication Engineering King Mongkut's University of Technology Thonburi Thailand Hospital Automation Research Center Institute of Field Robotics King Mongkut's University of Technology Thonburi Thailand National Electronics and Computer Technology Center National Science and Technology Development Agency Thailand Faculty of Agro-Industry Chiang Mai University Thailand Department of Agricultural Economy and Developement Faculty of Agriculture Chiang Mai University Thailand

the evolution of healthcare systems worldwide necessitates continual improvement in hospital management practices, particularly pharmaceutical management. this paper explores transforming traditional pharmaceutical management systems in large and medium-sized hospitals in thailand into smart systems using Value Stream Mapping (VSM) as a guiding tool. Traditional systems often face challenges such as inefficiencies and medication errors. VSM, rooted in lean management principles, offers a structured approach to visualize and optimize processes. Additionally, smart technologies like automated inventory systems and electronic health records enhance pharmaceutical management effectiveness. through a comprehensive research methodology encompassing case studies, data collection, and VSM analysis, this study identifies inefficiencies and proposes evidence-based strategies for improvement. Results from a case study highlight the benefits of VSM implementation in enhancing pharmacy operations, emphasizing improved patient care and operational efficiency. the implementation of a smart medication dispensing system shows promising results in reducing workload and accommodating increased patient arrivals. Continued evaluation and refinement are crucial for maximizing benefits and addressing emerging challenges effectively. © 2025 Elsevier B.V.. All rights reserved.

关键词： Electronic health record

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AI-Driven Smart Space Allocation Framework

AI-Driven Smart Space Allocation Framework

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Mobile Computing and Sustainable informatics (ICMCSI), international conference on

作者： Abhinav Shankar H Mohanprasath R Pavithran R A G Manoj Kumar Department of Computing Technology SRM Institute of Science and Technology Chengalpattu District Tamil Nadu

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522674

the automation and efficiency in detecting and guiding drivers to available parking lots by attacking the rampant problem of parking congestion in urban cities are targets for the Smart Parking System project. Computer vision and image processing techniques help in monitoring parking areas in real-time and may provide a more accurate identification of vacant and occupied spots. this innovative approach offers a cost-effective alternative by utilizing cameras and advanced algorithms, which are considerably cheaper alternatives compared to sensor-based systems. the results from the project prove that this system can cut down on time used in search, fuel consumption, and traffic congestion, thus providing a sustainable environment for the convenience of people in urban areas.

关键词： Urban areas Transportation Automated parking Real-time systems Resource management informatics Traffic congestion Smart spaces Monitoring Mobile computing

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