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检索条件"机构=Laboratory for Robotics and Engineering Systems"
2323 条 记 录,以下是2261-2270 订阅
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Local perspectives of Plecoglossusaltivelis determine searching strategy
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AIP Conference Proceedings 2017年 第1期1863卷
作者: Takayuki Niizato Hisashi Murakami Kazuki Sangu Takenori Tomaru Kohei Sonoda Yuta Nishiyama Yukio-Pegio Gunji 1Faculty of Engineering Information and Systems Tsukuba University Tsukuba Ibaraki Japan 2Faculity of Engineering Kanagawa University Yokohama Kanagawa Japan 3School of Fundamental Science and Engineering Waseda University Shinjuku Tokyo Japan 4Human Robotics Laboratory College of Information Science and Engineering Ritsumeikan University Japan 5Science & Technology Entrepreneurship Laboratory (e-Square) Osaka University Suita Osaka Japan
We argue for the notion of adaptability in collective behavior, treating real fish schools as an example. For evaluation, we use the inconsistent relation between local and global perspectives. We show that this incon...
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Roadmap on soft robotics: multifunctionality, adaptability and growth without borders
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Multifunctional Materials 2022年 第3期5卷 032001-032001页
作者: Mazzolai, Barbara Mondini, Alessio Del Dottore, Emanuela Margheri, Laura Carpi, Federico Suzumori, Koichi Cianchetti, Matteo Speck, Thomas Smoukov, Stoyan K. Burgert, Ingo Keplinger, Tobias Siqueira, Gilberto De Freitas Vanneste, Felix Goury, Olivier Duriez, Christian Nanayakkara, Thrishantha Vanderborght, Bram Brancart, Joost Terryn, Seppe Rich, Steven I. Liu, Ruiyuan Fukuda, Kenjiro Someya, Takao Calisti, Marcello Laschi, Cecilia Sun, Wenguang Wang, Gang Wen, Li Baines, Robert Patiballa, Sree Kalyan Kramer-Bottiglio, Rebecca Rus, Daniela Fischer, Peer Simmel, Friedrich C Lendlein, Andreas Bioinspired Soft Robotics Laboratory Istituto Italiano di Tecnologia Italy Department of Industrial Engineering University of Florence Via di S. Marta 3 Florence50139 Italy Department of Mechanical Engineering Tokyo Institute of Technology Ookayama Meguro Tokyo152-8550 Japan The BioRobotics Institute Scuola Superiore Sant’Anna Pisa56025 Italy Department of Excellence in Robotics & AI Scuola Superiore Sant’Anna Pisa56025 Italy Plant Biomechanics Group & Botanic Garden and Cluster of Excellence livMatS @ FIT University of Freiburg Germany Active and Intelligent Materials Laboratory Queen Mary University of London LondonE1 4NS United Kingdom Wood Materials Science Institute for Building Materials ETH Zurich Zurich8093 Switzerland Cellulose and Wood Materials Laboratory Empa Swiss Federal Laboratories for Materials Science and Technology Dübendorf8600 Switzerland University of Lille Inria CNRS Centrale Lille UMR 9189 CRIStAL LilleF-59000 France Dyson School of Design Engineering Imperial College London United Kingdom Vrije Universiteit Brussel and imec Brussels Belgium Thin-Film Device Laboratory RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan Center for Emergent Matter Science RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan Electrical and Electronic Engineering and Information Systems The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan The BioRobotics Institute Scuola Superiore Sant’Anna Italy Lincoln Institute for Agri-food Technology University of Lincoln Lincoln United Kingdom Department of Mechanical Engineering National University of Singapore Singapore School of Mechanical Engineering and Automation Beihang University Beijing100191 China Department of Mechanical Engineering and Materials Science Yale University New HavenCT06511 United States CSAIL MIT Schwarzman College of Computing United States Max Planck Institute for Intelligent Systems Heisenbergstr. 3 Stuttgart70569 Germany Institute of Physical Chemistry
Soft robotics aims at creating systems with improved performance of movement and adaptability in unknown, challenging, environments and with higher level of safety during interactions with humans. This Roadmap on Soft... 详细信息
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Front Cover: A Strain-engineered Helical Structure as a Self-adaptive Magnetic Microswimmer (ChemNanoMat 6/2021)
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ChemNanoMat 2021年 第6期7卷
作者: Xiaojie Shi Jinrun Liu Ye Kong Dr. Borui Xu Prof. Tianlong Li Prof. Alexander A. Solovev Prof. Yongfeng Mei Department of Materials Science & State Key Laboratory of ASIC and Systems Fudan University 220 Handan Road Shanghai 200433 P. R. China School of Mechatronics Engineering & State Key Laboratory of Robotics and System Harbin Institute of Technology 92 Xi Da Zhi Jie Haerbin 150001 P. R. China
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Extreme ecosystem studies in the deep OCEan: Technological developments EXOCET/D
Extreme ecosystem studies in the deep OCEan: Technological d...
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The Fourteenth International Offshore and Polar engineering Conference - ISOPE 2004
作者: Sarradin, P.-M. Sarrazin, J. Cadiou, J.F. Olu, K. Desbruyères, D. Rigaud, V. Drogou, J.F. Lecornu, F. Rolin, J.F. Vuillemin, R. Cambon-Bonavita, M.A. Sauter, E. Von Juterzenka, K. Boetius, A. Serrão Santos, R. Colaço, A. Pascoal, A. Oliveira, P. Shillito, B. Zal, F. Schultz, A. Taylor, P. Lane, D. Loke, R.E. Du Buf, H. Waldmann, C. Cormack, A. Sanfilippo, L. Masson, M. Ifremer DRO/EP Plouzané and La Seyne sur Mer France DNIS Plouzané and La Seyne sur Mer France TMSI Plouzané and La Seyne sur Mer France DRV/VP Plouzané and La Seyne sur Mer France AWI Dept. Geosystem and Project Group Deep-Sea Research Bremerhaven Germany Project Group AUV Payload Development and Deep-Sea Gradients Bremerhaven Germany Geosystem Paleoenvironment from Marine Sediments Bremerhaven Germany University of the Azores Horta Portugal Dept. of Electrical Engineering Institute for Systems and Robotics Instituto Superior Técnico Lisbon Portugal UMR CNRS 7138 Systématique Adaptation et Evolution Université Pierre et Marie Curie Paris France Equipe Ecophysiologie Station Biologique Roscoff France School of Earth Ocean and Planetary Sciences Cardiff University Cardiff United Kingdom Dept. Electrical Electronic and Computer Engineering Heriot-Watt University Edinburgh United Kingdom Dept. of Electronics and Computer Science Vision Laboratory University of Algarve Faro Portugal University of Bremen FB5/MARUM Bremen Germany SeeByte Ltd Edinburgh United Kingdom Systea Srl Anagni Italy CAPSUM Technologie GmbH Trittau Germany
The general objective of EXOCET/D is to develop, implement and test specific instruments aimed at exploring, describing, quantifying and monitoring biodiversity in deep-sea fragmented habitats as well as at identifyin... 详细信息
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Corrections to “a Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing”
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IEEE robotics and Automation Letters 2024年 第10期9卷 8426-8426页
作者: Lorenzo Lamberti Elia Cereda Gabriele Abbate Lorenzo Bellone Victor Javier Kartsch Morinigo Michał Barciś Agata Barciś Alessandro Giusti Francesco Conti Daniele Palossi Department of Electrical Electronic and Information Engineering University of Bologna Bologna Italy Dalle Molle Institute for Artificial Intelligence USI-SUPSI Lugano Switzerland Autonomous Robotics Research Center Technology Innovation Institute Abu Dhabi UAE Integrated Systems Laboratory ETH Zürich Zürich Switzerland
Presents corrections to the article “a Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing”.
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Corrections to “Iris Center Localization Using Energy Map With Image Inpaint Technology and Post-Processing Correction”
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IEEE Access 2020年 8卷 76595-76595页
作者: Lihong Dai Jinguo Liu Zhaojie Ju Yang Gao State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan China School of Computing University of Portsmouth Portsmouth U.K. Space Technology for Autonomous and Robotic Systems Laboratory (STAR LAB) Surrey Space Centre University of Surrey Guildford U.K.
In the above article [1] , the affiliations of authors Lihong Dai and Yang Gao need to be corrected. Moreover, the biography of Yang Gao needs to be corrected. The specific corrections are as follows.
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Recognition of patient groups with sleep related disorders using bio-signal processing and deep learning
arXiv
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arXiv 2021年
作者: Jarchi, Delaram Andreu-Perez, Javier Kiani, Mehrin Vysata, Oldrich Kuchynka, Jiri Prochazka, Ales Sanei, Saeid Smart Health Technologies Group School of Computer Science and Electronic Engineering University of Essex ColchesterCO4 3SQ United Kingdom Embedded and Intelligent Systems Laboratory School of Computer Science and Electronics University of Essex ColchesterCO4 3SQ United Kingdom Department of Computing and Control Engineering University of Chemistry and Technology in Prague Prague 6166 28 Czech Republic Department of Neurology Faculty of Medicine in Hradec Králové Charles University Hradec Králové500 05 Czech Republic Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Prague 6160 00 Czech Republic School of Science and Technology Nottingham Trent University NottinghamNG11 8NS United Kingdom
Accurately diagnosing sleep disorders is essential for clinical assessments and treatments. Polysomnography (PSG) has long been used for detection of various sleep disorders. In this research, electrocardiography (ECG... 详细信息
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Research on Position Sensorless Control of PMSM Based on Improved SMO
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IOP Conference Series: Materials Science and engineering 2019年 第1期533卷
作者: Zhang Guoqing Xiong Xinhong Zheng Yousheng Zhang Yanhui Chen Lianbo Wu Xinyu Feng Wei Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China CAS Key Laboratory of Human-Machine-Intelligence Synergic Systems Shenzhen Institutes of Advanced Technology Shenzhen 518055 China School of Logistics Engineering Wuhan University of Technology Wuhan 430070 China
The sliding mode observer (SMO) can effectively achieve the permanent magnet synchronous motor (PMSM) to perform position sensorless control, but there are still drawbacks of system chattering and high complexity. In ...
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Parameter Tuning of PID Controller of Servo System Based on Particle Swarm Optimization Algorithm
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IOP Conference Series: Materials Science and engineering 2019年 第1期533卷
作者: Chen Lianbo Xiong Xinhong Zheng Yousheng Zhang Yanhui Zhang Guoqing Wu Xinyu Feng Wei Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China CAS Key Laboratory of Human-Machine-Intelligence Synergic Systems Shenzhen Institutes of Advanced Technology Shenzhen 518055 China School of Logistics Engineering Wuhan University of Technology Wuhan 430070 China
In order to improve the control precision of permanent magnet synchronous motor servo drive, a Proportional-Integral-Differential (PID) control method based on particle swarm optimization (PSO) algorithm is proposed. ...
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Corrigendum to “Controlling SWCNT assembling density by electrokinetics” [Sens. Actuators A: Phys. 201 (October) (2013) 36–42]
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Sensors and Actuators A: Physical 2014年 206卷 187-187页
作者: Haibo Yu Sascha Hermann Zaili Dong John Mai Wen J. Li Stefan E. Schulz Key State Laboratory of Robotics Shenyang Institute of Automation CAS Shenyang China Department of Back-end of Line Fraunhofer Institute for Electronic Nano Systems Chemnitz Germany Center for Microtechnologies (ZFM) Chemnitz University of Technology Chemnitz Germany Department of Mechanical and Biomedical Engineering City University of Hong Kong Hong Kong China
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