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检索条件"任意字段=25th International Conference on Methods and Models in Automation and Robotics"
1217 条 记 录,以下是1031-1040 订阅
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Approach to Bearing Fault Diagnosis: CNN-Based Classification Across Different Preprocessing Techniquese
Approach to Bearing Fault Diagnosis: CNN-Based Classificatio...
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international Carpathian Control conference (ICCC)
作者: Urszula Jachymczyk Paweł Knap Patryk Balazy Szymon Podlasek Krzysztof Lalik Faculty of Mechanical Engineering and Robotics AGH University of Krakow Krakow Poland
this paper presents a rigorous investigation into the efficacy of diverse preprocessing methods for bearing fault classification, leveraging the comprehensive CWRU dataset. Four distinct approaches were explored: raw ... 详细信息
来源: 评论
Robust control of intelligent robots by parametrized state feedback methods
Robust control of intelligent robots by parametrized state f...
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international conference on Emerging Technologies and Factory automation (ETFA)
作者: M. Rouff P. Makany Laboratoire Universitaire Des Sciences appliquées de Cherbourg - UCBN-EIC Cherbourg Octeville France
Intelligent robots must be able to be faced to many new difficult tasks. this implies the use of many parameters in the control laws. We show that if these parameters are slowly varying before the dynamics of the gran... 详细信息
来源: 评论
Game Design Tools for ML Data Generation in CPS
Game Design Tools for ML Data Generation in CPS
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international conference on Autonomous Robots and Agents, ICARA
作者: Maria Krantz Niklas Widulle Oliver Niggemann Institute of Automation Technology Helmut-Schmidt-University Hamburg Germany
the high complexity of Cyber-Physical Systems (CPS) necessitates novel approaches for system analysis, planning, anomaly detection and testing. Machine Learning (ML) methods are promising because of their ability to f... 详细信息
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Ensemble Machine Learning methods for Unsteady Aerodynamics Modeling from Flight Data
Ensemble Machine Learning Methods for Unsteady Aerodynamics ...
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international conference on Control, automation and robotics (ICCAR)
作者: Ajit Kumar Ajoy Kanti Ghosh Dept. of Mechanical and Aerospace Engineering IITRAM Ahmedabad Gujarat INDIA Dept. of Aerospace Engineering IIT Kanpur U.P. India
In this paper, two ensemble machine learning-based methods, Bagging and Boosting, are applied to model the unsteady aerodynamics of an aircraft from flight test data. Bagging generates a predictive model by combining ... 详细信息
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Multi-Sensor-based Predictive Control for Autonomous Parking in Presence of Pedestrians
Multi-Sensor-based Predictive Control for Autonomous Parking...
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international conference on Control, automation, robotics and Vision (ICARCV)
作者: David Pérez-Morales Olivier Kermorgant Salvador Domínguez-Quijada Philippe Martinet LS2N Laboratoire des Sciences du Numérique de Nantes École Centrale de Nantes Nantes France INRIA Sophia Antipolis Valbonne France
this paper explores the feasibility of a Multi-Sensor-Based Predictive Control (MSBPC) approach in order to have constraint-based backward non-parallel (perpendicular and diagonal) parking maneuvers capable of dealing... 详细信息
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Reactive rhythm activities and offline classification of imagined speeds of finger movements
Reactive rhythm activities and offline classification of ima...
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international conference on Bioinformatics and Biomedical Engineering
作者: Fu, Yunfa Xu, Baolei Pei, Lili Li, Hongyi State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Graduate School of the Chinese Academy of Sciences Beijing China
Reactive rhythm bands to imagined speeds of index finger movement and offline classification of imagined speeds were explored in the paper. EEG was recorded when 4 subjects executed motor imagery of two tasks at first... 详细信息
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Evaluating the Impact of One-Shot Structured Pruning: A Noise Robustness Perspective
Evaluating the Impact of One-Shot Structured Pruning: A Nois...
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robotics, automation and Artificial Intelligence (RAAI), IEEE international conference on
作者: Dieter Balemans Jens De Hoog thomas Huybrechts Jan Steckel Siegfried Mercelis IDLab - Faculty of Applied Engineering University of Antwerp - imec Antwerp Belgium CoSysLab - Faculty of Applied Engineering University of Antwerp Antwerp Belgium Flanders Make Strategic Research Centre Lommel Belgium
the increasing complexity of neural networks in combination with the growing interest in edge computing has led to a surge in the development of neural network compression techniques. these methods aim to reduce the c... 详细信息
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Adaptive backstepping control based on structural reliability for a turret-moored FPSO vessel
Adaptive backstepping control based on structural reliabilit...
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international conference on Advanced robotics (ICAR)
作者: Yuanhui Wang Yulong Tuo Simon X. Yang College of Automation Harbin Engineering University Harbin Heilongjiang Province China School of Engineering University of Guelph Guelph ON Canada
For floating production storage and offloading (FPSO) vessels, a positioning controller is necessary because only a mooring system alone cannot always keep the ship within a predefined region. this paper develops a ne... 详细信息
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Recognition of overlapping 2-D objects by local feature construction method
Recognition of overlapping 2-D objects by local feature cons...
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international conference on Pattern Recognition
作者: Y. Nakamura M. Nagao Department of Electrical Engineering Kyoto University Kyoto Japan
A method is described for the recognition of partially occluded 2-D objects. this method considers a set of corners, parallel lines, and so on as typical features of an object. Possible candidate models are estimated ... 详细信息
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A Predictive Model for Morphogenesis of a Robot Sequence Mimicking Protein Folding
A Predictive Model for Morphogenesis of a Robot Sequence Mim...
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IEEE international conference on Cyber Technology in automation, Control, and Intelligent Systems
作者: Zihao Ni Zhi Han Shixian Wang Yuping Gu Yongliang Yang School of Artificial Intelligence Shenyang University of Technology Shenyang Liaoning China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China
the swarm phenomena observed in nature have inspired many control algorithms for diverse robot swarm systems. However, most of these endeavors are qualitative simulations aimed at understanding the mechanisms underlyi... 详细信息
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