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检索条件"机构=Machine Learning and Robotics Laboratory"
57 条 记 录,以下是11-20 订阅
排序:
Deep learning for Koopman-based Dynamic Movement Primitives
arXiv
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arXiv 2023年
作者: Han, Tyler Henshaw, Carl Glen The Naval Center for Space Technology U.S. Naval Research Laboratory WashingtonDC20375 United States The Robotics and Machine Learning Section Naval Center for Space Technology U.S. Naval Research Laboratory WashingtonDC20375 United States
The challenge of teaching robots to perform dexterous manipulation, dynamic locomotion, or whole-body manipulation from a small number of demonstrations is an important research field that has attracted interest from ... 详细信息
来源: 评论
Wireless personal training tracker for sports shooting  5
Wireless personal training tracker for sports shooting
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5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021
作者: Antipov, Vladimir Badarin, Artem Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Lobachevsky University Nizhny Novgorod Russia Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia
The article describes the process of developing a wireless software arrapat complex for measuring and logging various aspects of sports shooting training. The purpose of the development is to optimize and personalize ... 详细信息
来源: 评论
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis
arXiv
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arXiv 2023年
作者: Zheng, Kaizhong Yu, Shujian Chen, Badong National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi’an China Department of Computer Science Vrije Universiteit Amsterdam Amsterdam Netherlands Machine Learning Group UiT - Arctic University of Norway Tromsø Norway
There is a recent trend to leverage the power of graph neural networks (GNNs) for brain-network based psychiatric diagnosis, which, in turn, also motivates an urgent need for psychiatrists to fully understand the deci... 详细信息
来源: 评论
Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and learning
arXiv
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arXiv 2023年
作者: Han, Zhi Liu, Baichen Lin, Shao-Bo Zhou, Ding-Xuan 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 Center of Intelligent Decision-Making and Machine Learning School of Management Xi’an Jiaotong University Xi’an China School of Mathematics and Statistics University of Sydney SydneyNSW2006 Australia
This paper studies the performance of deep convolutional neural networks (DCNNs) with zero-padding in feature extraction and learning. After verifying the roles of zero-padding in enabling translation-equivalence, and... 详细信息
来源: 评论
Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction
arXiv
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arXiv 2024年
作者: Liu, Yu Zhang, Yuexin Li, Kunming Qiao, Yongliang Worrall, Stewart Li, You-Fu Kong, He Shenzhen518055 China Department of Mechanical Engineering City University of Hong Kong Hong Kong School of Automation Guangdong Polytechnic Normal University Guangzhou510665 China Australian Centre for Field Robotics The University of Sydney NSW2006 Australia Australian Institute for Machine Learning The University of Adelaide SA5005 Australia Shenzhen Key Laboratory of Control Theory and Intelligent Systems SUSTech Shenzhen518055 China Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities SUSTech Shenzhen518055 China
Predicting pedestrian motion trajectories is crucial for path planning and motion control of autonomous vehicles. Accurately forecasting crowd trajectories is challenging due to the uncertain nature of human motions i... 详细信息
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Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
arXiv
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arXiv 2024年
作者: Liu, Zhiyu Han, Zhi Tang, Yandong Zhao, Xi-Le Wang, Yao State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China University of Electronic Science and Technology of China Chengdu610051 China Center for Intelligent Decision-making and Machine Learning School of Management Xi’an Jiaotong University Xi’an710049 China
This paper considers the problem of recovering a tensor with an underlying low-tubal-rank structure from a small number of corrupted linear measurements. Traditional approaches tackling such a problem require the comp... 详细信息
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Changing functional connectivity during solving cognitive tasks: fNIRS study
Changing functional connectivity during solving cognitive ta...
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Saratov Fall Meeting 2021: Computational Biophysics and Nanobiophotonics
作者: Badarin, A.A. Antipov, V.M. Grubov, V.V. Kurkin, S.A. Neuroscience and Cognivite Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Universitetskaya Str. 1 Innopolis 420500 Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University A. Nevskogo ul. 14 Kaliningrad236016 Russia Department of Theoretical Cybernetics Saint Petersburg State University University Embankment 7/9 Saint Petersburg199034 Russia
In this paper, we present an analysis of the dynamics of functional connectivity of the cerebral cortical network using near-infrared spectroscopy during human solutions to simple cognitive tasks. A task-based on the ... 详细信息
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A Structured Prediction Approach for Robot Imitation learning
arXiv
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arXiv 2023年
作者: Duan, Anqing Batzianoulis, Iason Camoriano, Raffaello Rosasco, Lorenzo Pucci, Daniele Billard, Aude Robotics and Machine Intelligence Laboratory The Hong Kong Polytechnic University Hong Kong Learning Algorithms and Systems Laboratory École Polytechnique Fédérale de Lausanne Lausanne Switzerland Visual And Multimodal Applied Learning Laboratory Politecnico di Torino Turin Italy DIBRIS Università degli Studi di Genova Genoa Italy Laboratory for Computational and Statistical Learning IIT@MIT Istituto Italiano di Tecnologia Massachusetts Institute of Technology CambridgeMA United States Center Università di Genova Genoa Italy Dynamic Interaction Control research line Italian Institute of Technology Genoa Italy
We propose a structured prediction approach for robot imitation learning from demonstrations. Among various tools for robot imitation learning, supervised learning has been observed to have a prominent role. Structure... 详细信息
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Exploration via Planning for Information about the Optimal Trajectory
arXiv
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arXiv 2022年
作者: Mehta, Viraj Char, Ian Abbate, Joseph Conlin, Rory Boyer, Mark D. Ermon, Stefano Schneider, Jeff Neiswanger, Willie Robotics Institute United States Machine Learning Department Carnegie Mellon University United States Princeton Plasma Physics Laboratory United States Princeton University United States Computer Science Department Stanford University United States
Many potential applications of reinforcement learning (RL) are stymied by the large numbers of samples required to learn an effective policy. This is especially true when applying RL to real-world control tasks, e.g. ... 详细信息
来源: 评论
Portable tracker for neurophysiological research of sport shooting
Portable tracker for neurophysiological research of sport sh...
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Saratov Fall Meeting 2021: Computational Biophysics and Nanobiophotonics
作者: Antipov, V.M. Badarin, A.A. Grubov, V.V. Kazantsev, V.B. Hramov, A.E. Neuroscience and Cognivite Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Universitetskaya Str. 1 Innopolis 420500 Russia Laboratory of Advanced Methods for High-Dimensional Data Analysis Lobachevsky State University of Nizhni Novgorod 23 Gagarin ave. Nizhny Novgorod603950 Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University A. Nevskogo ul. 14 Kaliningrad236016 Russia Neurotechnology Deparment Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod603022 Russia
In this work we present the development process of a wireless portable module. It is developed to record various characteristics during sport shooting, such as automatic detection of the moment of shot and barrel move... 详细信息
来源: 评论