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检索条件"机构=Department of computer Science Institute for Robotics and Intelligent Systems"
3109 条 记 录,以下是31-40 订阅
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A practical PID variable stiffness control and its enhancement for compliant force-tracking interactions with unknown environments
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science China(Technological sciences) 2023年 第10期66卷 2882-2896页
作者: ZHANG Xin ZHOU Hao LIU JinGuo JU ZhaoJie LENG YuQuan YANG ChenGuang State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169China University of Chinese Academy of Sciences Beijing 100049China School of Computing University of PortsmouthPortsmouth PO13HEUK Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy EngineeringSouthern University of Science and TechnologyShenzhen 518055China Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and EngineeringSouth China University of TechnologyGuangzhou 510640China
Compliant interaction control is a key technology for robots performing contact-rich manipulation *** design of the compliant controller needs to consider the robot hardware because complex control algorithms may not ... 详细信息
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PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
arXiv
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arXiv 2025年
作者: Villar-Corrales, Angel Behnke, Sven Computer Science Institute VI – Intelligent Systems and Robotics Center for Robotics The Lamarr Institute for Machine Learning and Artificial Intelligence Germany
Predicting future scene representations is a crucial task for enabling robots to understand and interact with the environment. However, most existing methods rely on video sequences and simulations with precise action... 详细信息
来源: 评论
Centralizing Data Warehouse Platform for Mining Management Using AWS Computing Instance
Centralizing Data Warehouse Platform for Mining Management U...
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2024 IEEE Region 10 Conference, TENCON 2024
作者: Sathaporn, Posathip Chaowalittawin, Vasutorn Krungseanmuang, Woranidtha Benjangkaprasert, Chawalit Purahong, Boonchana School of Engineering King Mongkut's Institute of Technology Ladkrabang Department of Robotics and Computational Intelligent Systems Bangkok Thailand School of Engineering King Mongkut's Institute of Technology Ladkrabang Computer Engineering Department Bangkok Thailand
Mining industry is one of significant industry in the world. In order to increase efficiency, safety, sustainability and environmental impacts in mining process. This article presents a centralized data platform for m... 详细信息
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Smart Manufacturing Integration of Heterogeneous Information systems via OPC UA. A Case Study
Smart Manufacturing Integration of Heterogeneous Information...
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2024 International Conference Automatics and Informatics, ICAI 2024
作者: Vasilev, Plamen Boneva, Ani Ivanova, Veronika Tsvetanov, Tsetso University of Chemical Technology and Metallurgy Department of Industrial Automation Sofia Bulgaria Institute of Information and Communication Technologies Bulgarian Academy of Sciences Department of Communication and Computer Systems Sofia Bulgaria Institute of Robotics Bulgaria Academy of Sciences Department of Robotized and Mechatronics Intelligent Systems Sofia Bulgaria
Modern automation, digitalization, virtualization, and intelligent production impose new criteria and approaches to process management. The operation and performance of any system and device depend on how it is manage... 详细信息
来源: 评论
Enhance Planning with Physics-informed Safety Controller for End-to-end Autonomous Driving
Enhance Planning with Physics-informed Safety Controller for...
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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024
作者: Zhou, Hang Liu, Haichao Lu, Hongliang Ma, Jun Ji, Yiding Robotics and Autonomous Systems Thrust Systems Hub Guangzhou China School of Engineering The Hong Kong University of Science and Technology Department of Electronic and Computer Engineering SAR Hong Kong Hong Kong Intelligent Transportation Thrust Systems Hub Guangzhou China
Recent years have seen a growing research interest in applications of Deep Neural Networks (DNN) on autonomous vehicle technology. The trend started with perception and prediction a few years ago and it is gradually b... 详细信息
来源: 评论
Towards NLP-driven Online-classification of Industrial Alarm Messages  50
Towards NLP-driven Online-classification of Industrial Alarm...
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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024
作者: Shatewakasi, Yeersen Vogel-Heuser, Birgit Wilch, Jan Hankemeier, Victoria Höfgen, Josua Technical University of Munich Institute of Automation and Information Systems Garching Germany University of Münster Computer Science Department Autonomous Intelligent Systems Group Münster Germany
Industrial alarm systems facilitate the reliable and effective management of industrial process operations. However, the manufacturer’s fear of missing a critical fault or lacking process understanding may lead to th... 详细信息
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Hierarchical Pose Estimation and Mapping with Multi-scale Neural Feature Fields
arXiv
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arXiv 2024年
作者: Kruzhkov, Evgenii Savinykh, Alena Behnke, Sven Autonomous Intelligent Systems Computer Science Institute VI University of Bonn Bonn Germany Autonomous Intelligent Systems Computer Science Institute VI – Intelligent Systems and Robotics Center for Robotics Lamarr Institute for Machine Learning and Artificial Intelligence University of Bonn Bonn Germany
Robotic applications require a comprehensive understanding of the scene. In recent years, neural fields-based approaches that parameterize the entire environment have become popular. These approaches are promising due... 详细信息
来源: 评论
Multi-Scale Time Series Segmentation Network Based on Eddy Current Testing for Detecting Surface Metal Defects
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IEEE/CAA Journal of Automatica Sinica 2025年 第3期12卷 528-538页
作者: Xiaorui Li Xiaojuan Ban Haoran Qiao Zhaolin Yuan Hong-Ning Dai Chao Yao Yu Guo Mohammad S.Obaidat George Q.Huang the School of Intelligence Science and Technology University of Science and Technology Beijing the Beijing Advanced Innovation Center for Materials Genome Engineering the Key Laboratory of Intelligent Bionic Unmanned Systems and the Institute of Materials Intelligent Technology Liaoning Academy of Materials IEEE the Department of Computer Science Hong Kong Baptist University the School of Computer and Communication Engineering Key Laboratory of Advanced Materials and Devices for Post-Moore Chips Ministry of Education University of Science and Technology Beijing the Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing the School of Computer and Communication Engineering University of Science and Technology Beijing the King Abdullah Ⅱ School of Information Technology The University of Jordan the Department of Computational Intelligence the School of Computing SRM University the School of Engineering The Amity University The Hong Kong Polytechnic University
In high-risk industrial environments like nuclear power plants, precise defect identification and localization are essential for maintaining production stability and safety. However, the complexity of such a harsh env... 详细信息
来源: 评论
Advances in Wireless,Batteryless,Implantable Electronics for Real‑Time,Continuous Physiological Monitoring
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Nano-Micro Letters 2024年 第3期16卷 254-302页
作者: Hyeonseok Kim Bruno Rigo Gabriella Wong Yoon Jae Lee Woon‑Hong Yeo IEN Center for Wearable Intelligent Systems and Healthcare Georgia Institute of TechnologyAtlantaGA 30332USA George W.Woodruff School of Mechanical Engineering Georgia Institute of TechnologyAtlantaGA 30332USA School of Electrical and Computer Engineering Georgia Institute of TechnologyAtlantaGA 30332USA Wallace H.Coulter Department of Biomedical Engineering Georgia Tech and Emory University School of MedicineAtlantaGA 30332USA Parker H.Petit Institute for Bioengineering and Biosciences Institute for MaterialsInstitute for Robotics and Intelligent MachinesGeorgia Institute of TechnologyAtlantaGA 30332USA
This review summarizes recent progress in developing wireless,batteryless,fully implantable biomedical devices for real-time continuous physiological signal monitoring,focusing on advancing human health *** considerat... 详细信息
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Recurrent neural networks: vanishing and exploding gradients are not the end of the story  38
Recurrent neural networks: vanishing and exploding gradients...
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38th Conference on Neural Information Processing systems, NeurIPS 2024
作者: Zucchet, Nicolas Orvieto, Antonio Department of Computer Science ETH Zürich Switzerland ELLIS Institute Tübingen MPI for Intelligent Systems Tübingen AI Center Germany
Recurrent neural networks (RNNs) notoriously struggle to learn long-term memories, primarily due to vanishing and exploding gradients. The recent success of deep state-space models (SSMs), a subclass of RNNs, to overc...
来源: 评论