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检索条件"机构=the Learning Systems and Robotics Lab"
118 条 记 录,以下是91-100 订阅
排序:
Deep, robust and single shot 3D multi-person human pose estimation in complex images
arXiv
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arXiv 2019年
作者: Benzine, Abdallah Luvison, Bertrand Pham, Quoc Cuong Achard, Catherine CEA LIST Vision and Learning Lab for Scene Analysis PC 184 Gif-sur-YvetteF-91191 France Sorbonne University CNRS Institute for Intelligent Systems and Robotics ISIR ParisF-75005 France
In this paper, we propose a new single shot method for multi-person 3D human pose estimation in complex images. The model jointly learns to locate the human joints in the image, to estimate their 3D coordinates and to... 详细信息
来源: 评论
Evaluation of an Industrial Robotic Assistant in an Ecological Environment
Evaluation of an Industrial Robotic Assistant in an Ecologic...
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IEEE International Workshop on Robot and Human Communication (ROMAN)
作者: Baptiste Busch Giuseppe Cotugno Mahdi Khoramshahi Grigorios Skaltsas Dario Turchi Leonardo Urbano Mirko Wächter You Zhou Tamim Asfour Graham Deacon Duncan Russell Aude Billard EPFL Learning Algorithms and Systems Laboratory (LASA) Lausanne Switzerland Robotics Research Group of Ocado Technology Hatfield UK University of Hertfordshire Hatfield UK KIT High Performance Humanoid Technologies Lab (H2T) Karlsruhe Germany
Social robotic assistants have been widely studied and deployed as telepresence tools or caregivers. Evaluating their design and impact on the people interacting with them is of prime importance. In this research, we ...
来源: 评论
An Early Stage Researcher's Primer on systems Medicine Terminology
Network and Systems Medicine
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Network and systems Medicine 2021年 第1期4卷 2-50页
作者: Zanin, Massimiliano Aitya, Nadim A.A. Basilio, José Baumbach, Jan Benis, Arriel Behera, Chandan K. Bucholc, Magda Castiglione, Filippo Chouvarda, Ioanna Comte, Blandine Dao, Tien-Tuan Ding, Xuemei Pujos-Guillot, Estelle Filipovic, Nenad Finn, David P. Glass, David H. Harel, Nissim Iesmantas, Tomas Ivanoska, Ilinka Joshi, Alok Boudjeltia, Karim Zouaoui Kaoui, Badr Kaur, Daman Maguire, Liam P. McClean, Paula L. McCombe, Niamh De Miranda, João Luís Moisescu, Mihnea Alexandru Pappalardo, Francesco Polster, Annikka Prasad, Girijesh Rozman, Damjana Sacala, Ioan Sanchez-Bornot, Jose M. Schmid, Johannes A. Sharp, Trevor Solé-Casals, Jordi Spiwok, Vojtěch Spyrou, George M. Stalidzans, Egils Stres, Blaa Sustersic, Tijana Symeonidis, Ioannis Tieri, Paolo Todd, Stephen Van Steen, Kristel Veneva, Milena Wang, Da-Hui Wang, Haiying Wang, Hui Watterson, Steven Wong-Lin, Kongfatt Yang, Su Zou, Xin Schmidt, Harald H.H.W. Centro de Tecnología Biomédica Universidad Politécnica de Madrid Madrid Spain Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Ulster United Kingdom Center for Physiology and Pharmacology Institute of Vascular Biology and Thrombosis Research Medical University of Vienna Vienna Austria TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany Holon Israel CNR National Research Council IAC Institute for Applied Computing Rome Italy Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Université Clermont Auvergne INRAE UNH Plateforme d'Exploration du Métabolisme MetaboHUB Clermont Clermont-Ferrand France Université de Technologie de Compiègne Compiègne France Labex MS2T Control of Technological Systems-of-Systems CNRS and Université de Technologie de Compiègne Compiègne France Faculty of Engineering University of Kragujevac Kragujevac Serbia Kragujevac Serbia Steinbeis Advanced Risk Technologies Institute Doo Kragujevac Kragujevac Serbia Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway Ireland School of Computing Ulster University Ulster United Kingdom Holon Israel Department of Mathematics and Natural Sciences Kaunas University of Technology Kaunas Lithuania Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Skopje Macedonia Medicine Faculty Université Libre de Bruxelles CHU de Charleroi Charleroi Belgium Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Ulster United Kingdom Escola Superior de Tecnologia e Gestão Instituto Politécnico de Portalegre Portalegre Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Faculty of Automatic Control and Computers University Politehnica of B
Background: systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, ... 详细信息
来源: 评论
Recurrent kalman networks: Factorized inference in high-dimensional deep feature spaces
arXiv
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arXiv 2019年
作者: Becker, Philipp Pandya, Harit Gebhardt, Gregor Zhao, Cheng Taylor, James Neumann, Gerhard Computational Learning for Autonomous Systems TU Darmstadt Darmstadt Germany Bosch Center for Artificial Intelligence Renningen Germany University of Tübingen Tübingen Germany Lincoln Center for Autonomous Systems University of Lincoln Lincoln United Kingdom Extreme Robotics Lab University of Birmingham Birmingham United Kingdom Engineering Department Lancaster University Lancaster United Kingdom
In order to integrate uncertainty estimates into deep time-series modelling, Kalman Filters (KFs) (Kalman et al., 1960) have been integrated with deep learning models, however, such approaches typically rely on approx... 详细信息
来源: 评论
Safe Stop Trajectory Planning for Highly Automated Vehicles: An Optimal Control Problem Formulation
Safe Stop Trajectory Planning for Highly Automated Vehicles:...
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2018 IEEE Intelligent Vehicles Symposium, IV 2018
作者: Svensson, Lars Masson, Lola Mohan, Naveen Ward, Erik Brenden, Anna Pernestål Feng, Lei Törngren, Martin Mechatronics and Embedded Control Systems KTH Royal Institute of Technology StockholmSE-10044 Sweden LAAS-CNRS University of Toulouse Toulouse France Robotics Perception and Learning KTH Royal Institute of Technology Sweden Integrated Transport Research Lab KTH Royal Institute of Technology Sweden
Highly automated road vehicles need the capability of stopping safely in a situation that disrupts continued normal operation, e.g. due to internal system faults. Motion planning for safe stop differs from nominal mot... 详细信息
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Forecasting intracranial hypertension using multi-scale waveform metrics
arXiv
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arXiv 2019年
作者: Hüser, Matthias Kündig, Adrian Karlen, Walter De Luca, Valeria Jaggi, Martin Biomedical Informatics Group Department of Computer Science ETH Zürich Universitätstrasse 6 Zürich8092 Switzerland Mobile Health Systems Lab Institute of Robotics and Intelligent Systems Department of Health Sciences and Technology ETH Zürich Zürich8008 Switzerland Department of Information Technology and Electrical Engineering ETH Zürich Zürich8092 Switzerland Machine Learning & Optimization Lab EPFL Lausanne1015 Switzerland
Objective: Acute intracranial hypertension is an important risk factor of secondary brain damage after traumatic brain injury. Hypertensive episodes are often diagnosed reactively, leading to late detection and lost t... 详细信息
来源: 评论
Probabilistic Recurrent State-Space Models
arXiv
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arXiv 2018年
作者: Doerr, Andreas Daniel, Christian Schiegg, Martin Nguyen-Tuong, Duy Schaal, Stefan Toussaint, Marc Trimpe, Sebastian Bosch Center for Artificial Intelligence Renningen Germany Max Planck Institute for Intelligent Systems Stuttgart/Tübingen Germany Computational Learning and Motor Control Lab University of Southern California United States Machine Learning and Robotics Lab University of Stuttgart Germany
State-space models (SSMs) are a highly expressive model class for learning patterns in time series data and for system identification. Deterministic versions of SSMs (e.g. LSTMs) proved extremely successful in modelin... 详细信息
来源: 评论
Author Correction: Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control
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Scientific reports 2020年 第1期10卷 6694页
作者: Elmar Rueckert Jernej Čamernik Jan Peters Jan Babič Intelligent Autonomous Systems Lab Technische Universität Darmstadt Darmstadt 64289 Germany. rueckert@ias.tu-darmstadt.de. Department for Automation Biocybernetics and Robotics Jožef Stefan Institute Ljubljana SI-1000 Slovenia. Jožef Stefan International Postgraduate School Jamova cesta 39 1000 Ljubljana Slovenia. Intelligent Autonomous Systems Lab Technische Universität Darmstadt Darmstadt 64289 Germany. Robot Learning Group Max-Planck Institute for Intelligent Systems Tuebingen 72076 Germany.
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Safe Stop Trajectory Planning for Highly Automated Vehicles: An Optimal Control Problem Formulation
Safe Stop Trajectory Planning for Highly Automated Vehicles:...
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IEEE Symposium on Intelligent Vehicle
作者: Lars Svensson Lola Masson Naveen Mohan Erik Ward Anna Pernestål Brenden Lei Feng Martin Törngren Mechatronics and Embedded Control Systems KTH Royal Institute of Technology Stockholm Sweden LAAS-CNRS University of Toulouse Toulouse France Robotics Perception and Learning KTH Royal Institute of Technology Integrated Transport Research Lab KTH Royal Institute of Technology
Highly automated road vehicles need the capability of stopping safely in a situation that disrupts continued normal operation, e.g. due to internal system faults. Motion planning for safe stop differs from nominal mot... 详细信息
来源: 评论
learning task-specific dynamics to improve whole-body control
arXiv
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arXiv 2018年
作者: Gams, Andrej Mason, Sean A. Ude, Aleš Schaal, Stefan Righetti, Ludovic Humanoid and Cognitive Robotics Lab Dept. of Automatics Bio-cybernetics and Robotics Jožef Stefan Institute Ljubljana Slovenia Computational Learning and Motor Control Lab University of Southern California Los AngelesCA United States Tandon School of Engineering New York University New York United States Max Planck Institute for Intelligent Systems Tuebingen Germany
In task-based inverse dynamics control, reference accelerations used to follow a desired plan can be broken down into feedforward and feedback trajectories. The feedback term accounts for tracking errors that are caus... 详细信息
来源: 评论