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检索条件"机构=Machine Learning and Robotics Lab University of Stuttgart"
147 条 记 录,以下是111-120 订阅
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Environment modeling for maintenance automation-a next-best-view approach for combining space exploration and object recognition tasks
Environment modeling for maintenance automation-a next-best-...
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IEEE International Conference on Automation Science and Engineering (CASE)
作者: Christian Friedrich Viktor Zielke Marc Toussaint Armin Lechler Alexander Verl Institute of Control Engineering of Machine Tools and Manufacturing Units University of Stuttgart Stuttgart Germany Institute of Machine Learning and Robotics University Stuttgart Stuttgart Germany
In order to enable robot systems to solve complex tasks autonomously, it is essential to model the environment in a sufficient way. This work describes a new approach to create a consistent environment model, using ne... 详细信息
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Policy search in reproducing kernel Hilbert space  25
Policy search in reproducing kernel Hilbert space
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25th International Joint Conference on Artificial Intelligence, IJCAI 2016
作者: Vien, Ngo Anh Englert, Peter Toussaint, Marc Machine Learning and Robotics Lab University of Stuttgart Germany
Modeling policies in reproducing kernel Hilbert space (RKHS) renders policy gradient reinforcement learning algorithms non-parametric. As a result, the policies become very flexible and have a rich representational po... 详细信息
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Opening a lockbox through physical exploration
Opening a lockbox through physical exploration
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IEEE-RAS International Conference on Humanoid Robots
作者: Manuel Baum Matthew Bernstein Roberto Martin-Martin Sebastian Höfer Johannes Kulick Marc Toussaint Alex Kacelnik Oliver Brock Robotics and Biology Lab (RBO) Technische Universität Berlin Machine Learning and Robotics Lab (MLR) Universität Stuttgart Department of Zoology Oxford University
How can we close the gap between animals and robots when it comes to intelligently interacting with the environment? On our quest for answers, we have investigated the problem of physically exploring complex mechanica... 详细信息
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Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints
arXiv
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arXiv 2017年
作者: Yildirim, Ilker Gerstenberg, Tobias Saeed, Basil Toussaint, Marc Tenenbaum, Joshua B. Brain and Cognitive Sciences Massachusetts Institute of Technology CambridgeMA United States Machine Learning and Robotics Lab University of Stuttgart Germany
In this paper, we present a new task that investigates how people interact with and make judgments about towers of blocks. In Experiment 1, participants in the lab solved a series of problems in which they had to re-c... 详细信息
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Multi-bound tree search for logic-geometric programming in cooperative manipulation domains
Multi-bound tree search for logic-geometric programming in c...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Marc Toussaint Manuel Lopes Machine Learning and Robotics Lab University of Stuttgart Germany INESC-ID Instituto Superior Técnico Universide de Lisboa Portugal
Joint symbolic and geometric planning is one of the core challenges in robotics. We address the problem of multi-agent cooperative manipulation, where we aim for jointly optimal paths for all agents and over the full ... 详细信息
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Fast and continuous foothold adaptation for dynamic locomotion through CNNs
arXiv
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arXiv 2018年
作者: Villarreal, Octavio Barasuol, Victor Camurri, Marco Franceschi, Luca Focchi, Michele Pontil, Massimiliano Caldwell, Darwin G. Semini, Claudio Dynamic Legged Systems lab Istituto Italiano di Tecnologia Via Morego 30 Genoa16163 Italy Computational Statistics and Machine Learning Istituto Italiano di Tecnologia Via Morego 30 Genoa16163 Italy Department of Advanced Robotics Istituto Italiano di Tecnologia Via Morego 30 Genoa16163 Italy Oxford Robotics Institute University of Oxford 23 Banbury Rd OxfordOX2 6NN United Kingdom
—Legged robots can outperform wheeled machines for most navigation tasks across unknown and rough terrains. For such tasks, visual feedback is a fundamental asset to provide robots with terrain-awareness. However, ro... 详细信息
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Discovery of Complex Anomalous Patterns of Sexual Violence in El Salvador
arXiv
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arXiv 2017年
作者: De-Arteaga, Maria Dubrawski, Artur Auton Lab Carnegie Mellon University Machine Learning Department Carnegie Mellon University Heinz College Carnegie Mellon University Robotics Institute Carnegie Mellon University
When sexual violence is a product of organized crime or social imaginary, the links between sexual violence episodes can be understood as a latent structure. With this assumption in place, we can use data science to u... 详细信息
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Relational Activity Processes for Modeling Concurrent Cooperation
Relational Activity Processes for Modeling Concurrent Cooper...
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IEEE International Conference on robotics and Automation
作者: Marc Toussaint Thibaut Munzer Yoan Mollard Li Yang Wu Ngo Anh Vien Manuel Lopes Machine Learning and Robotics Lab University of Stuttgart Germany
In human-robot collaboration, multi-agent domains, or single-robot manipulation with multiple end-effectors, the activities of the involved parties are naturally concurrent. Such domains are also naturally relational ... 详细信息
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Correction: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
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Journal of neuroengineering and rehabilitation 2024年 第1期21卷 71页
作者: M Encarna Micó-Amigo Tecla Bonci Anisoara Paraschiv-Ionescu Martin Ullrich Cameron Kirk Abolfazl Soltani Arne Küderle Eran Gazit Francesca Salis Lisa Alcock Kamiar Aminian Clemens Becker Stefano Bertuletti Philip Brown Ellen Buckley Alma Cantu Anne-Elie Carsin Marco Caruso Brian Caulfield Andrea Cereatti Lorenzo Chiari Ilaria D'Ascanio Bjoern Eskofier Sara Fernstad Marcel Froehlich Judith Garcia-Aymerich Clint Hansen Jeffrey M Hausdorff Hugo Hiden Emily Hume Alison Keogh Felix Kluge Sarah Koch Walter Maetzler Dimitrios Megaritis Arne Mueller Martijn Niessen Luca Palmerini Lars Schwickert Kirsty Scott Basil Sharrack Henrik Sillén David Singleton Beatrix Vereijken Ioannis Vogiatzis Alison J Yarnall Lynn Rochester Claudia Mazzà Silvia Del Din Translational and Clinical Research Institute Faculty of Medical Sciences Newcastle University Newcastle Upon Tyne UK. Department of Mechanical Engineering and Insigneo Institute for in Silico Medicine The University of Sheffield Sheffield UK. Laboratory of Movement Analysis and Measurement Ecole Polytechnique Federale de Lausanne Lausanne Switzerland. Machine Learning and Data Analytics Lab Department of Artificial Intelligence in Biomedical Engineering Friedrich-Alexander-Universität Erlangen Nürnberg Erlangen Germany. Center for the Study of Movement Cognition and Mobility Neurological Institute Tel Aviv Sourasky Medical Center Tel Aviv Israel. Department of Biomedical Sciences University of Sassari Sassari Italy. Department of Electronics and Telecommunications Politecnico di Torino Turin Italy. National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre (BRC) Newcastle University and The Newcastle Upon Tyne Hospitals NHS Foundation Trust Newcastle Upon Tyne UK. Robert Bosch Gesellschaft für Medizinische Forschung Stuttgart Germany. The Newcastle Upon Tyne Hospitals NHS Foundation Trust Newcastle Upon Tyne UK. School of Computing Newcastle University Newcastle Upon Tyne UK. Barcelona Institute for Global Health (ISGlobal) Barcelona Spain. Universitat Pompeu Fabra Barcelona Catalonia Spain. CIBER Epidemiología y Salud Pública (CIBERESP) Madrid Spain. Insight Centre for Data Analytics University College Dublin Dublin Ireland. School of Public Health Physiotherapy and Sports Science University College Dublin Dublin Ireland. Department of Electrical Electronic and Information Engineering «Guglielmo Marconi» University of Bologna Bologna Italy. Health Sciences and Technologies-Interdepartmental Center for Industrial Research (CIRI-SDV) University of Bologna Bologna Italy. Grünenthal GmbH Aachen Germany. Department of Neurology University Medical Center Schleswig-Holstein Campus Kiel Kiel Germany. Sagol School of Neuroscien
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POMDP manipulation via trajectory optimization
POMDP manipulation via trajectory optimization
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IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2015
作者: Vien, Ngo Anh Toussaint, Marc Machine Learning and Robotics Lab University of Stuttgart Germany
Efficient object manipulation based only on force feedback typically requires a plan of actively contact-seeking actions to reduce uncertainty over the true environmental model. In principle, that problem could be for... 详细信息
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