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检索条件"机构=Department Interdisciplinary Program in Robotics"
46 条 记 录,以下是41-50 订阅
排序:
Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning
Renderable Street View Map-Based Localization: Leveraging 3D...
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Howoong Jun Hyeonwoo Yu Songhwai Oh Artificial Intelligence (IPAI) Seoul National University and Automation and Systems Research Institute (ASRI) and Sequor Robotics Inc. Seoul Korea Republic of Department of Intelligent Robotics & Mechanical Engineering Sungkyunkwan University (SKKU) Suwon-si Korea Republic of Department of Electrical and Computer Engineering (ECE) & Interdisciplinary Program in Artificial Intelligence (IPAI) Seoul National University and Automation and Systems Research Institute (ASRI) and Sequor Robotics Inc. Seoul Korea Republic of
In this paper, we introduce a new method that first utilizes 3D Gaussian splatting in street-level localization problem. Robust localization with street-level real-world images such as street view is a major issue for... 详细信息
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A study on robust control method of underwater vehicle using SMCSPO
A study on robust control method of underwater vehicle using...
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Asian Control Conference
作者: Hyun Hee Kim Jong Seob Won Hyeon Jin Cho Jun Ho Hwang Min Cheol Lee Interdisciplinary Program in Robotics Pusan National University Geumjeong-gu Busan Korea Department of Mechanical and Automotive Engineering Jeonju University Wansan-gu Jeonju-si Jeollabuk-do Korea Agency for Defense Development Korea School of Mechanical Engineering Pusan National University Geumjeong-gu Busan Korea
The application of robust control method is required for the design of the automatic control system of the unmanned underwater vehicle which is operated in underwater environment under great disturbance. Sliding Pertu... 详细信息
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Biomimetic evolutionary analysis: Robotically-simulated vertebrates in a predator-prey ecology
Biomimetic evolutionary analysis: Robotically-simulated vert...
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IEEE Symposium on Artificial Life, ALIFE
作者: Nicole Doorly Kira Irving Gianna McArthur Keon Combie Virginia Engel Hassan Sakhtah Elise Stickles Hannah Rosenblum Andres Gutierrez Robert Root Chun Wai Liew John H. Long Mechanical and Aerospace Engineering Department Case Western Reserve University Cleveland OH USA Interdisciplinary Robotics Research Laboratory and the Cognitive Science Program Vassar College Poughkeepsie NY USA Neuroscience Institute Stanford University School of Medicine Stanford CA USA Neuroscience and Behavior Program Vassar College Poughkeepsie NY USA Memorial Sloan Kettering Cancer Care Center New York NY USA Department of Biology Vassar College Poughkeepsie NY USA Biochemistry Program Vassar College Poughkeepsie NY USA College of Medicine Howard University College of Medicine Washington D.C. USA School of Oceanography University of Washington Seattle WA USA Vassar College Poughkeepsie NY USA Department of Mathematics Lafayette College Easton PA USA Computer Science Department Lafayette College Easton PA USA Interdisciplinary Robotics Research Laboratory the Department of Biology and the Cognitive Science Program Vassar College Poughkeepsie NY USA
To test adaptation hypotheses about the evolution of animals, we need information about the behavior of phenotypically-variable individuals in a specific environment. To model behavior of ancient fish-like vertebrates... 详细信息
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M2FN: Multi-step modality fusion for advertisement image assessment
arXiv
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arXiv 2021年
作者: Park, Kyung-Wha Ha, Jung-Woo Lee, JungHoon Kwon, Sunyoung Kim, Kyung-Min Zhang, Byoung-Tak Interdisciplinary Program in Neuroscience Seoul National University Korea Republic of NAVER AI LAB NAVER CLOVA Statistics and Actuarial Science Soongsil University Korea Republic of School of Biomedical Convergence Engineering Pusan National University Korea Republic of Department of Computer Science and Engineering Seoul National University Korea Republic of Surromind Robotics
Assessing advertisements, specifically on the basis of user preferences and ad quality, is crucial to the marketing industry. Although recent studies have attempted to use deep neural networks for this purpose, these ... 详细信息
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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts
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BMC NEUROSCIENCE 2017年 第SUPPL 1期18卷 95-176页
作者: [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ
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On-body non-invasive glucose monitoring sensor based on high figure of merit (FoM) surface plasmonic microwave resonator
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Scientific reports 2023年 第1期13卷 17527页
作者: Farzad Soltanian Mehdi Nosrati Saleh Mobayen Chuan-Chun Li Telung Pan Ming-Ta Ke Paweł Skruch Department of Electrical Engineering University of Alberta Edmonton Canada. Department of Electrical Engineering Manhattan College New York USA. Department of Electrical Engineering University of Zanjan Zanjan Iran. mobayens@yuntech.edu.tw. Graduate School of Intelligent Data Science National Yunlin University of Science and Technology Douliou 640301 Yunlin Taiwan. mobayens@yuntech.edu.tw. National Taiwan University Hospital Yunlin Branch Yunlin Taiwan. a***@***. Bachelor Program in Interdisciplinary Studies College of Future National Yunlin University of Science and Technology Yunlin 64002 Taiwan. Graduate School of Intelligent Data Science National Yunlin University of Science and Technology Douliou 640301 Yunlin Taiwan. Department of Automatic Control and Robotics AGH University of Science and Technology 30-059 Kraków Poland.
High-figure of merit (FoM) plasmonic microwave resonator is researched as a non-invasive on-body sensor to monitor the human body's blood glucose variation rate in adults for biomedical applications, e.g., diabeti...
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