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Customer feedback gathering and management tools for product-service system design

Procedia CIRP 2018年 67卷 577-582页

作者： Dimitris Mourtzis Ekaterini Vlachou Vasilios Zogopoulos Ravi Kumar Gupta Farouk Belkadi Adel Debbache Alain Bernard Laboratory for Manufacturing Systems and Automation (LMS) Department of Mechanical Engineering and Aeronautics University of Patras Rio Patras 26504 Greece Ecole Centrale de Nantes – LS2N UMR CNRS 6004 Nantes 44321 France Gizelis Robotics Robot system integration Schimatari Viotias 32009 Kormatzini Area Greece

Modern manufacturing industries are being shifted towards a new business model where low cost and high customer value solutions should be designed and provided. The use of advanced technology and mobile applications will support companies to approach customers, and extract and analyze their opinion. Towards that, this research work presents tools for customers’ feedback gathering and management to support efficient and accurate product and service designs. Mobile applications for customer feedback gathering on products and services and an importance-satisfaction analysis based on modular design approach are proposed. The tools are validated in a real case study from the robotics industry.

关键词： Feedback gathering Feedback management Mobile applications Product-service systems Design

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Visual Place Recognition in Long-term and Large-scale Environment based on CNN Feature

Visual Place Recognition in Long-term and Large-scale Enviro...

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2018 IEEE Intelligent Vehicles Symposium, IV 2018

作者： Zhu, Jianliang Ai, Yunfeng Tian, Bin Cao, Dongpu Scherer, Sebastian School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Cloud Computing Center Chinese Academy of Sciences Dongguan523808 China Department of Mechanical and Mechatronics Engineering University of Waterloo WaterlooONN2L 3G1 Canada Robotics Institute Carnegie Mellon University PittsburghPA15213 United States

ISBN: (纸本)9781538644522

With the universal application of camera in intelligent vehicles, visual place recognition has become a major problem in intelligent vehicle localization. The traditional solution is to make visual description of place images using hand-crafted feature for matching places, but this description method is not very good for extreme variability, especially for seasonal transformation. In this paper, we propose a new method based on convolutional neural network (CNN), by putting images into the pre-trained network model to get automatically learned image descriptors, and through some operations of pooling, fusion and binarization to optimize them, then the similarity result of place recognition is presented with the Hamming distance of the place sequence. In the experimental part, we compare our method with some state-of-the-art algorithms, FABMAP, ABLE-M and SeqSLAM, to illustrate its advantages. The experimental results show that our method based on CNN achieves better performance than other methods on the representative public datasets. © 2018 IEEE.

关键词： Hamming distance

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Distributed Leader-follower Formation Control of Nonholonomic Mobile Robots

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IFAC-PapersOnLine 2019年第15期52卷 67-72页

作者： Qun Lu Zhiqiang Miao Dan Zhang Li Yu Wenjun Ye Simon X. Yang Chun-Yi Su College of Electrical Engineering Yancheng Institute of Technology Yancheng 224003 China College of Electrical and Information Engineering Hunan University Changsha 410082 China College of Information Engineering Zhejiang University of Technology Hangzhou 310023 China Department of Mechanical Industrial and Aerospace Engineering Concordia University Montreal QC H3G 1M8 Canada Advanced Robotics and Intelligent Systems Laboratory School of Engineering University of Guelph Guelph ON N1G 2W1 Canada School of Automation Guangdong University of Technology Guangzhou 510006 China on leave from Concordia University Montreal QC H3G 1M8 Canada

This paper considers the problem of distributed leader-follower formation control for nonholonomic mobile robots only using local interactions among the robots. First, a distributed estimation strategy is presented for each follower robot to estimate the leader’s state. Then the dynamic equations of the formation tracking errors are formulated and a distributed formation control scheme is designed, which yields globally uniformly ultimately bounded stability for the closed-loop systems without requiring persistent excitation conditions. Finally, a simulation example demonstrates the effectiveness of the proposed approach.

关键词： Distributed formation control nonholonomic mobile robots distributed formation control persistent exciting conditions

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Common Limitations of Image Processing Metrics: A Picture Story

arXiv

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arXiv 2021年

作者： Reinke, Annika Tizabi, Minu D. Sudre, Carole H. Eisenmann, Matthias Rädsch, Tim Baumgartner, Michael Acion, Laura Antonelli, Michela Arbel, Tal Bakas, Spyridon Bankhead, Peter Benis, Arriel Blaschko, Matthew Buettner, Florian Cardoso, M. Jorge Chen, Jianxu Cheplygina, Veronika Christodoulou, Evangelia Cimini, Beth A. Collins, Gary S. Engelhardt, Sandy Farahani, Keyvan Ferrer, Luciana Galdran, Adrian van Ginneken, Bram Glocker, Ben Godau, Patrick Haase, Robert Hamprecht, Fred Hashimoto, Daniel A. Heckmann-Nötzel, Doreen Hirsch, Peter Hoffman, Michael M. Huisman, Merel Isensee, Fabian Jannin, Pierre Kahn, Charles E. Kainmueller, Dagmar Kainz, Bernhard Karargyris, Alexandros Karthikesalingam, Alan Kavur, A. Emre Kenngott, Hannes Kleesiek, Jens Kleppe, Andreas Koehler, Sven Kofler, Florian Kopp-Schneider, Annette Kooi, Thijs Kozubek, Michal Kreshuk, Anna Kurc, Tahsin Landman, Bennett A. Litjens, Geert Madani, Amin Maier-Hein, Klaus Martel, Anne L. Mattson, Peter Meijering, Erik Menze, Bjoern Moher, David Moons, Karel G.M. Müller, Henning Nichyporuk, Brennan Nickel, Felix Noyan, M. Alican Petersen, Jens Polat, Gorkem Rafelski, Susanne M. Rajpoot, Nasir Reyes, Mauricio Rieke, Nicola Riegler, Michael A. Rivaz, Hassan Saez-Rodriguez, Julio Sánchez, Clara I. Schroeter, Julien Saha, Anindo Selver, M. Alper Sharan, Lalith Shetty, Shravya Smeden, Maarten V.A.N. Stieltjes, Bram Summers, Ronald M. Taha, Abdel A. Tiulpin, Aleksei Tsaftaris, Sotirios A. Calster, Ben V.A.N. Varoquaux, Gaël Wiesenfarth, Manuel Yaniv, Ziv R. Jäger, Paul Maier-Hein, Lena Division of Intelligent Medical Systems and HI Helmholtz Imaging Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Division of Intelligent Medical Systems Heidelberg Germany NCT Heidelberg DKFZ University Medical Center Heidelberg Germany MRC Unit for Lifelong Health and Ageing UCL Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom School of Biomedical Engineering and Imaging Science King’s College London London United Kingdom Division of Medical Image Computing Heidelberg Germany Instituto de Cálculo CONICET – Universidad de Buenos Aires Buenos Aires Argentina Centre for Medical Image Computing University College London London United Kingdom McGill University Montréal Canada Division of Computational Pathology Dept of Pathology & Laboratory Medicine Indiana University School of Medicine IU Health Information and Translational Sciences Building Indianapolis United States University of Pennsylvania Richards Medical Research Laboratories FL7 PhiladelphiaPA United States Institute of Genetics and Cancer University of Edinburgh Edinburgh United Kingdom Department of Digital Medical Technologies Holon Institute of Technology Holon Israel European Federation for Medical Informatics Le Mont-sur-Lausanne Switzerland Center for Processing Speech and Images Department of Electrical Engineering KU Leuven Kasteelpark Arenberg 10 - box 2441 Leuven3001 Belgium Frankfurt/Mainz DKFZ UCT Frankfurt-Marburg Germany Heidelberg Germany Goethe University Frankfurt Department of Medicine Germany Goethe University Frankfurt Department of Informatics Germany Frankfurt Cancer Insititute Germany Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. Dortmund Germany Department of Computer Science IT University of Copenhagen Copenhagen Denmark Imaging Platform Broad Institute of MIT and Harvard CambridgeMA United States Centre for St

While the importance of automatic image analysis is continuously increasing, recent meta-research revealed major flaws with respect to algorithm validation. Performance metrics are particularly key for meaningful, objective, and transparent performance assessment and validation of the used automatic algorithms, but relatively little attention has been given to the practical pitfalls when using specific metrics for a given image analysis task. These are typically related to (1) the disregard of inherent metric properties, such as the behaviour in the presence of class imbalance or small target structures, (2) the disregard of inherent data set properties, such as the non-independence of the test cases, and (3) the disregard of the actual biomedical domain interest that the metrics should reflect. This living dynamically document has the purpose to illustrate important limitations of performance metrics commonly applied in the field of image analysis. In this context, it focuses on biomedical image analysis problems that can be phrased as image-level classification, semantic segmentation, instance segmentation, or object detection task. The current version is based on a Delphi process on metrics conducted by an international consortium of image analysis experts from more than 60 institutions worldwide. © 2021, CC BY.

关键词： Medical imaging

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类生命机器人发展与未来挑战

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Engineering 2018年第4期4卷 53-77页

作者：张闯王文学席宁王越超刘连庆 State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences University of Chinese Academy of Sciences Emerging Technologies Institute Department of Industrial and Manufacturing Systems Engineering University of Hong Kong

类生命机器人由活体生物系统与传统机电系统深度有机融合而成,具有高能量效率、高本质安全性、高灵敏度以及可自修复等潜在优点。由于类生命机器人具有单独生命体或者以机电系统为主体的传统机器人系统所不具备的特性,因此对其的研究已... 详细信息

类生命机器人由活体生物系统与传统机电系统深度有机融合而成,具有高能量效率、高本质安全性、高灵敏度以及可自修复等潜在优点。由于类生命机器人具有单独生命体或者以机电系统为主体的传统机器人系统所不具备的特性,因此对其的研究已成为当今的热点,并且在近些年的研究中取得了一定的重要成果。本文系统地总结了类生命机器人的发展。首先,讨论了类生命机器人的潜在发展趋势。然后,回顾了现有类生命机器人的性能,其中包括机器人简单的运动以及运动速度和方向的控制特性。接下来讨论了现有类生命机器人所使用的活体生物材料和非生命材料以及相应的加工制造方法。而后,回顾了现有类生命机器人所采用的控制方法,其中包括物理及化学控制方法。最后,讨论了类生命机器人未来发展中在感知、驱动、智能、活体生物材料、非生命材料、控制方法及信息技术等方面所面临的关键挑战。

关键词：类生命机器人融合机器人生物驱动器心肌细胞肌肉细胞

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Control of cardiomyocyte contraction for actuation of bio-syncretic robots

Control of cardiomyocyte contraction for actuation of bio-sy...

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2017 IEEE International Conference on robotics and automation, ICRA 2017

作者： Zhang, Chuang Wang, Wenxue Xi, Ning Wang, Yuechao Liu, Lianqing State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Emerging Technologies Institute Department of Industrial and Manufacturing Systems Engineering University of Hong Kong Pokfulam Hong Kong

ISBN: (纸本)9781509046331

Bio-syncretic robots, consisting of living biological materials and traditional electromechanical systems, have attracted lots of attention due to the potentialities of self-sensing, self-actuation and self-repairing with intrinsic safety and high energy conversion efficiency. However, most of current researches focus on the movement of the devices, and have ignored the study on the control of actuation unit 'cells', which is as important as motors for traditional electromechanical robots. In this work, the effects of cell culturing time, seeding concentration and functional drugs (cytochalasin and adrenalin) on contractile frequency and force strength of cardiomyocytes have been studied using scanning ion conductance microscope (SICM) and arrays of micro-pillars made of PDMS. This work will lay the foundation for the further study of quantitatively control of bio-syncretic robots actuated by cardiomyocytes and is also meaningful for the development of cytology, medicine, and clinical science. © 2017 IEEE.

关键词： Cytology

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Algorithms for joint operation of service robotic platform and set of UAVs in agriculture tasks 5

Algorithms for joint operation of service robotic platform a...

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5th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering, AIEEE 2017

作者： Vu, Quyen Nguyen, Vinh Solenaya, Oksana Ronzhin, Andrey Mehmet, H. Department of Electromechanics and Robotics Saint Petersburg State University of Aerospace Instrumentation SUAI St. Petersburg Russia Laboratory of Autonomous Robotic Systems St. Petersburg Institute for Informatics and Automation Russian Academy of Sciences SPIIRAS St. Petersburg Russia Guzey Department of Electrical and Electronics Engineering Erzurum Technical University Erzurum Turkey

ISBN: (纸本)9781538641378

The problems of designing a mobile robotic platform carrying a set of unmanned aerial vehicles and containing a container for a payload are considered. The issues of transportation of robots and joint activity of robots with various functions in solving agriculture problems are discussed. The conceptual model of a mobile platform design is given. The main stages of the algorithmic model of the joint operation of the mobile platform and the set of unmanned aerial vehicles brought to the working area are described. © 2017 IEEE.

关键词： Manipulators

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Gone with the Wind: Nonlinear Guidance for Small Fixed-Wing Aircraft in Arbitrarily Strong Windfields

Gone with the Wind: Nonlinear Guidance for Small Fixed-Wing ...

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American Control Conference

作者： Luca Furieri Thomas Stastny Lorenzo Marconi Roland Siegwart Igor Gilitschenski Laboratory of Automation and Robotics Department of Electronics Computer Science and Systems University of Bologna Italy Autonomous Systems Lab Department of Mechanical & Processing Engineering Swiss Federal Institute of Technology (ETH Zurich) Switzerland

ISBN: (纸本)9781509045839

The recent years have witnessed increased development of small, autonomous fixed-wing Unmanned Aerial Vehicles (UAVs). In order to unlock widespread applicability of these platforms, they need to be capable of operating under a variety of environmental conditions. Due to their small size, low weight, and low speeds, they require the capability of coping with wind speeds that are approaching or even faster than the nominal airspeed. In this paper we present a principled nonlinear guidance strategy, addressing this problem. More broadly, we propose a methodology for the high-level control of non-holonomic unicycle-like vehicles in the presence of strong flowfields (e.g. winds, underwater currents) which may outreach the maximum vehicle speed. The proposed strategy guarantees convergence to a safe and stable vehicle configuration with respect to the flowfield, while preserving some tracking performance with respect to the target path. Evaluations in simulations and a challenging real-world flight experiment in very windy conditions confirm the feasibility of the proposed guidance approach.

关键词： Arbitrarily Strong Windfields Fixed wing aircraft Guidance Wind Wings Unmanned Aerial Vehicle low speed level control vehicle visual tracking wall coping nonlinearity Platform

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Commentaries on Viewpoint: Physiology and fast marathons

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Journal of applied physiology (Bethesda, Md. : 1985) 2020年第4期128卷 1069-1085页

作者： Jordan Santos-Concejero Fernando González-Mohíno José María González-Ravé Stephane Perrey Arthur H. Dewolf Brandon A. Yates Anton Ušaj Tadej Debevec José Manuel González-Rayas Ana Lilia Rayas-Gómez José Manuel González-Yáñez Romuald Lepers Paul Stapley Julien Louis Felix Proessl P T Nikolaidis B Knechtle D Muniz-Pumares B Hunter L Bottoms Bastien Bontemps Pedro L. Valenzuela Daniel Boullosa Juan Del Coso Richard C. Blagrove Philip R. Hayes Gregoire P. Millet Davide Malatesta Yuri de Almeida Costa Campos Miller Pereira Guimarães Jeferson Macedo Vianna Sandro Fernandes da Silva Paulo Henrique Silva Marques de Azevedo Hunter L. Paris Margaret A. Leist Mast T. Lige William Malysa Alicia S. Oumsang Erin C. Sinai Rasmus K. Hansen Niels H. Secher Stefanos Volianitis Laura Hottenrott Kuno Hottenrott Thomas Gronwald Jonathon W. Senefeld Ricardo J. Fernandes João Paulo Vilas-Boas Alain Riveros-Rivera Dieter Böning Daniel H. Craighead Shalaya Kipp Rodger Kram Christoph Zinner Billy Sperlich Hans-Christer Holmberg Borja Muniz-Pardos Shaun Sutehall Konstantinos Angeloudis Fergus M. Guppy Andrew Bosch Yannis Pitsiladis David C. Andrade Rodrigo Del Rio Rodrigo Ramirez-Campillo Thiago Ribeiro Lopes Bruno Moreira Silva Stephen J. Ives Peter G. Weyand Cayque Brietzke Paulo Estevão Franco-Alvarenga Tony Meireles dos Santos Flávio Oliveira Pires Gwenael Layec Wouter Hoogkamer Christopher S. Balestrini Curtis S. Goss Mikaela C. Gabler Albaro Escalera Shane A. Bielko Robert F. Chapman Department of Physical Education and Sport University of the Basque Country UPV/EHU Vitoria-Gasteiz Spain University of Castilla-La Mancha Sport Training Lab Toledo Spain Facultad de Lenguas y Educación Universidad Nebrija Madrid Spain EuroMov Digital Health in Motion University of Montpellier IMT Mines Ales Montpellier France Department of Systems Medicine and Center of Space Biomedicine University of Rome Tor Vergata Rome Italy Department of Kinesiology Indiana University-Purdue University of Indianapolis Indianapolis Indiana Indiana Center for Musculoskeletal Health Indiana University School of Medicine Indianapolis Indiana Faculty of Sport University of Ljubljana Ljubljana Slovenia Department of Automation Biocybernetics and Robotics Jozef Stefan Institute Ljubljana Slovenia School of Medicine and Health Sciences Monterrey Institute of Technology and Higher Education Monterrey México Hospital San José de Querétaro Querétaro México INSERM UMR1093-CAPS UFR des Sciences du Sport Université Bourgogne Franche-Comté Dijon France Neural Control of Movement Laboratory School of Medicine Faculty of Science Medicine and Health Illawarra Health and Medical Research Institute University of Wollongong New South Wales Australia Research Institute for Sport and Exercise Sciences Liverpool John Moores University Liverpool United Kingdom Neuromuscular Research Laboratory University of Pittsburgh Pittsburgh Pennsylvania School of Health and Caring Sciences University of West Attica Athens Greece Institute of Primary Care University of Zurich Zurich Switzerland Department of Psychology and Sport Sciences School of Life and Medical Sciences University of Hertfordshire Hatfield United Kingdom Unité de recherche Impact de l’Activité Physique sur la Santé (UR IAPS Number 201723207F) University of Toulon Toulon France Department of Systems Biology University of Alcalá Madrid Spain Department of Sport and Health Spanish Agency for Health Protection in Sport (AEPSAD)

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Control of cardiomyocyte contraction for actuation of bio-syncretic robots

Control of cardiomyocyte contraction for actuation of bio-sy...

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IEEE International Conference on robotics and automation (ICRA)

作者： Chuang Zhang Wenxue Wang Ning Xi Yuechao Wang Lianqing Liu State Key Laboratory of Robotics China and University of Chinese Academy of Sciences Beijing China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Science Shenyang China Department of Industrial & Manufacturing Systems Engineering University of Hong Kong Pokfulam Hong Kong State Key Laboratory of Robotics Chinese Academy of Sciences Shenyang China

Bio-syncretic robots, consisting of living biological materials and traditional electromechanical systems, have attracted lots of attention due to the potentialities of self-sensing, self-actuation and self-repairing with intrinsic safety and high energy conversion efficiency. However, most of current researches focus on the movement of the devices, and have ignored the study on the control of actuation unit “cells”, which is as important as motors for traditional electromechanical robots. In this work, the effects of cell culturing time, seeding concentration and functional drugs (cytochalasin and adrenalin) on contractile frequency and force strength of cardiomyocytes have been studied using scanning ion conductance microscope (SICM) and arrays of micro-pillars made of PDMS. This work will lay the foundation for the further study of quantitatively control of bio-syncretic robots actuated by cardiomyocytes and is also meaningful for the development of cytology, medicine, and clinical science.

关键词： Robots Force Muscles Actuators Force measurement automation

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