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检索条件"机构=Department for Computer Science Institute for Real-Time Computer Systems and Robotics"
818 条 记 录,以下是81-90 订阅
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Training Variational Autoencoders for Population Synthesis in Public Health with Missing Data
Training Variational Autoencoders for Population Synthesis i...
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IEEE International Conference on Big Data
作者: Nathan Blackthorn Andrew Arash Mahyari Ashok Srinivasan Department of Computer Science University of West Florida Pensacola FL USA Florida Institute For Human and Machine Cognition (IHMC) Pensacola FL USA Department of Intelligent Systems and Robotics University of West Florida Pensacola FL USA
The importance of social determinants of health in shaping equitable public health policies is gaining increasing recognition. Emerging data sources, such as mobility and social media data, are becoming key to public ... 详细信息
来源: 评论
Tableaux for Automated Reasoning in Dependently-Typed Higher-Order Logic
arXiv
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arXiv 2024年
作者: Niederhauser, Johannes Brown, Chad E. Kaliszyk, Cezary Department of Computer Science University of Innsbruck Innsbruck Austria Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Prague Czech Republic School of Computing and Information Systems University of Melbourne Melbourne Australia
Dependent type theory gives an expressive type system facilitating succinct formalizations of mathematical concepts. In practice, it is mainly used for interactive theorem proving with intensional type theories, with ... 详细信息
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Spatio-temporal Motion Planning for Autonomous Vehicles with Trapezoidal Prism Corridors and Bézier Curves
Spatio-temporal Motion Planning for Autonomous Vehicles with...
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American Control Conference (ACC)
作者: Srujan Deolasee Qin Lin Jialun Li John M. Dolan Department of Computer Science & Information Systems Birla Institute of Technology and Science Pilani Rajasthan India Department of Electrical Engineering and Computer Science Cleveland State University Cleveland OH USA Dajiang Innovation Technology Co. Ltd Shenzhen China Robotics Institute Carnegie Mellon University Pittsburgh PA USA
Safety-guaranteed motion planning is critical for self-driving cars to generate collision-free trajectories. A layered motion planning approach with decoupled path and speed planning is widely used for this purpose. T...
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Stability Analysis and Performance Evaluation of Delayed Bilateral Telerobotic systems over a Lossy Communication Channel
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Journal of systems science & Complexity 2021年 第1期34卷 157-179页
作者: BAKHSHI Ali ALFI Alireza TALEBI Heidar Ali SOURATGAR Amir Aboulfazl YOUSEFI Mahdi Faculty of Electrical and Robotic Engineering Shahrood University of TechnologyShahrood 36199-95161Iran Power Plants Control Systems Technology Development Plan Department of monitoring and ControlNiroo Research InstituteTehran 14665-517Iran Real-Time and Robotics system Laboratory Faculty of Electrical EngineeringAmirkabir University of TechnologyHafez AvenueTehran 15914Iran Electrical and Computer Engineering Department The University of British Columbia2385East MallVan couverBC V6T 1Z4Canada
The focus of this paper is to address a novel control technique for stability and transparency analysis of bilateral telerobotic systems in the presence of data loss and time delay in the communication channel. Differ... 详细信息
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Generative Multi-View HRRP Recognition Based on Cascade Generation and Fusion Network
Generative Multi-View HRRP Recognition Based on Cascade Gene...
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IEEE International Conference on Radar
作者: Qiang Zhou Bingqian Yu Yanhua Wang Liang Zhang Le Zheng Difan Zou Xin Zhang School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing China Department of Computer Science University of Hong Kong Hongkong China HKU Musketeers Foundation Institute of Data Science University of Hong Kong Hongkong China
High-resolution range profile (HRRP) is critical for radar target recognition. However, HRRP data for non-cooperative targets are often sparsely collected, leading to limited performance of HRRP target recognition met... 详细信息
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One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
arXiv
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arXiv 2024年
作者: Bohlinger, Nico Czechmanowski, Grzegorz Krupka, Maciej Kicki, Piotr Walas, Krzysztof Peters, Jan Tateo, Davide Department of Computer Science Technical University of Darmstadt Germany Institute of Robotics and Machine Intelligence Poznan University of Technology Poland Research Department: Systems AI for Robot Learning Germany IDEAS NCBR Warsaw Poland Hessian.AI Centre for Cognitive Science
Deep Reinforcement Learning techniques are achieving state-of-the-art results in robust legged locomotion. While there exists a wide variety of legged platforms such as quadruped, humanoids, and hexapods, the field is... 详细信息
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Deep Learning-Based Prediction of Subsurface Oil Reservoir Pressure Using Spatio-Temporal Data  49
Deep Learning-Based Prediction of Subsurface Oil Reservoir P...
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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
作者: Cheng, Haibo He, Yunpeng Zeng, Peng Li, Shichao Vyatkin, Valeriy Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang China Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Luleå University of Technology Department of Computer Science Electrical and Space Engineering Luleå Sweden Aalto University Department of Electrical Engineering and Automation Helsinki Finland
Prediction of subsurface oil reservoir pressure are critical to hydrocarbon production. However, the accurate pressure estimation faces great challenges due to the complexity and uncertainty of reservoir. The undergro... 详细信息
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A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning
arXiv
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arXiv 2023年
作者: Valdeira, Pedro Chi, Yuejie Soares, Cláudia Xavier, João CMU IST United States CMU United States NOVA IST Department of Electrical and Computer Engineering Carnegie Mellon University United States Institute for Systems and Robotics Instituto Superior Técnico Portugal Department of Computer Science NOVA School of Science and Technology Portugal
Communication efficiency is a major challenge in federated learning (FL). In client-server schemes, the server constitutes a bottleneck, and while decentralized setups spread communications, they do not necessarily re... 详细信息
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Radar HRRP Open Set Recognition Using Hierarchical Prototype Learning
Radar HRRP Open Set Recognition Using Hierarchical Prototype...
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IEEE International Conference on Radar
作者: Yichen Liu Yanhua Wang Liang Zhang Binhua Yu Xiaojing Yang Yu-ang Zhang Le Zheng Difan Zou School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing China Department of Computer Science University of Hong Kong Hongkong China HKU Musketeers Foundation Institute of Data Science University of Hong Kong Hongkong China
High-resolution range profiles (HRRP) are increasingly employed in radar automatic target recognition (RATR). In practical applications of RATR, the environment is open and dynamic, and the recognition model is likely... 详细信息
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Combinatorial optimization and reasoning with graph neural networks
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2023年 第1期24卷 5922-5982页
作者: Quentin Cappart Didier Chételat Elias B. Khalil Andrea Lodi Christopher Morris Petar Veličković Department of Computer Engineering and Software Engineering Polytechnique Montréal Montréal Canada CERC in Data Science for Real-Time Decision-Making Polytechnique Montréal Montréal Canada Department of Mechanical & Industrial Engineering University of Toronto Toronto Canada Jacobs Technion-Cornell Institute Cornell Tech and Technion - IIT New York Department of Computer Science RWTH Aachen University Aachen Germany DeepMind London UK
Combinatorial optimization is a well-established area in operations research and computer science. Until recently, its methods have focused on solving problem instances in isolation, ignoring that they often stem from... 详细信息
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