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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61-70 订阅
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IoT Enabled Driver Compatible Cost-Effective System for Drowsiness Detection with Optimized Response time  3rd
IoT Enabled Driver Compatible Cost-Effective System for Drow...
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3rd EAI International Conference on Cognitive Computing and Cyber Physical systems, IC4S 2022
作者: Sarkar, Argha Kundu, Mayuri Pareek, Prakash Gupta, Nishu Reis, Manuel J. Cabral S. School of Computer Science and Engineering REVA University Karnataka Bangalore560064 India Department of Electronics and Communication Engineering Vishnu Institute of Technology Andhra Pradesh Bhimavaram534202 India Department of Electronic Systems Faculty of Information Technology and Electrical Engineering Norwegian University of Science and Technology Gjøvik2815 Norway Engineering Department UTAD/IEETA Vila Real5001-801 Portugal
The present work researches driver drowsiness, which constitutes a huge problem, and can turn into fatal incidents potentially involving the losing of lives, being it while driving in a highway (car, bus, truck, etc.)... 详细信息
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Long-time Resistance and Impurities Influence on Hydrogen Sensors Based on Palladium Expansion and Bragg Gratings  28
Long-time Resistance and Impurities Influence on Hydrogen Se...
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28th International Conference on Optical Fiber Sensors, OFS 2023
作者: Almeida, Miguel A.S. de Almeida, J.M.M.M. Coelho, Luís C.C. INESC TEC Institute of Systems and Computer Engineering Technology and Science Department of Physics Faculty of Sciences University of Porto Rua do Campo Alegre Porto4169-007 Portugal Department of Physics School of Sciences and Technology University of Trás-os-Montes e Alto Douro Vila Real5001-801 Portugal
An optical fiber sensor for hydrogen detection is presented. It is based on processed fiber Bragg gratings coated with palladium thin films where its expansion due to the hydrogen adsorption is monitored as strain mea... 详细信息
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High-precision Calibration of Camera and IMU on Manipulator for Bio-inspired Robotic System
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Journal of Bionic Engineering 2022年 第2期19卷 299-313页
作者: Yinlong Zhang Wei Liang Sichao Zhang Xudong Yuan Xiaofang Xia Jindong Tan Zhibo Pang State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China Key Laboratory of Networked Control Systems Chinese Academy of SciencesShenyang 110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169China The School of Computer Science and Technology Xidian UniversityXi’an 710071China Department of Mechanical Aerospace and Biomedical EngineeringUniversity of TennesseeKonxville 37996USA Department of Automation Technology ABB Corporate Research Sweden72178 VästerasSweden
Inspired by box jellyfish that has distributed and complementary perceptive system,we seek to equip manipulator with a camera and an Inertial Measurement Unit(IMU)to perceive ego motion and surrounding unstructured **... 详细信息
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Verifying Nonlinear Neural Feedback systems using Polyhedral Enclosures
arXiv
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arXiv 2025年
作者: Akinwande, Samuel I. Sidrane, Chelsea Kochenderfer, Mykel J. Barrett, Clark Department of Aeronautical and Astronautical Engineering Stanford University StanfordCA94305 United States Department of Computer Science Stanford University StanfordCA94305 United States Division of Robotics Perception and Learning Intelligent Systems Department School of Electrical Engineering & Computer Science KTH Royal Institute of Technology Stockholm Sweden
As dynamical systems equipped with neural network controllers (neural feedback systems) become increasingly prevalent, it is critical to develop methods to ensure their safe operation. Verifying safety requires extend... 详细信息
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TTT: A Temporal Refinement Heuristic for Tenuously Tractable Discrete time Reachability Problems
arXiv
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arXiv 2024年
作者: Sidrane, Chelsea Tumova, Jana The Division of Robotics Perception and Learning Intelligent Systems Department School of Electrical Engineering & Computer Science KTH Royal Institute of Technology Brinellvägen 8 Stockholm114 28 Sweden
Reachable set computation is an important tool for analyzing control systems. Simulating a control system can show that the system is generally functioning as desired, but a formal tool like reachability analysis can ... 详细信息
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Application of Deep Learning Method to Estimate Bottomhole Pressure Dynamics of Oil Wells  32
Application of Deep Learning Method to Estimate Bottomhole P...
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32nd IEEE International Symposium on Industrial Electronics, ISIE 2023
作者: Cheng, Haibo Li, Shichao Zeng, Peng Vyatkin, Valeriy State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China Luleå University of Technology Electrical and Space Engineering Department of Computer Science Luleå Sweden Aalto University Department of Electrical Engineering and Automation Helsinki Finland
Surrogate models, which have become an effective and popular method to close loop reservoir management problems, use a data-driven approach to predict dynamic injection and production wells parameters and optimize wat... 详细信息
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ON ACCELERATING EDGE AI: OPTIMIZING RESOURCE-CONSTRAINED ENVIRONMENTS
arXiv
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arXiv 2025年
作者: Sander, Jacob Cohen, Achraf Dasari, Venkat R. Venable, Brent Jalaian, Brian Department of Computer Science University of West Florida PensacolaFL United States Department of Mathematics and Statistics University of West Florida PensacolaFL United States DEVCOM Army Research Laboratory Aberdeen Proving Ground MD United States Department of Intelligent Systems and Robotics University of West Florida Institute for Human & Machine Cognition PensacolaFL United States Department of Computer Science Department of Intelligent Systems and Robotics University of West Florida Institute for Human & Machine Cognition PensacolaFL United States
Resource-constrained edge deployments demand AI solutions that balance high performance with stringent compute, memory, and energy limitations. In this survey, we present a comprehensive overview of the primary strate... 详细信息
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A Toolkit to Generate Social Navigation Datasets  21st
A Toolkit to Generate Social Navigation Datasets
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21st International Workshop of Physical Agents, WAF 2020
作者: Baghel, Rishabh Kapoor, Aditya Bachiller, Pilar Jorvekar, Ronit R. Rodriguez-Criado, Daniel Manso, Luis J. Department of Computer Science and Engineering Indian Institute of Information Technology Guwahati Guwahati India Department of Computer Science and Information Systems Birla Institute of Technology and Science Goa Pilani India Robotics and Artificial Vision Laboratory University of Extremadura Badajoz Spain Department of Computer Engineering Pune Institute of Computer Technology Pune India Department of Computer Science College of Engineering and Physical Sciences Aston University Birmingham United Kingdom
Social navigation datasets are necessary to assess social navigation algorithms and train machine learning algorithms. Most of the currently available datasets target pedestrians’ movements as a pattern to be replica... 详细信息
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A comparative study of machine learning, deep neural networks and random utility maximization models for travel mode choice modelling
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Transportation Research Procedia 2022年 62卷 374-382页
作者: José Carlos García-García Ricardo García-Ródenas Julio Alberto López-Gómez José Ángel Martín-Baos Department of Mathematics School of Computer Science University of Castilla-La Mancha Ciudad Real Spain Institute of Applied Mathematics in Science and Engineering (IMACI) University of Castilla-La Mancha Ciudad Real Spain Department of Information Systems and Technologies School of Computer Science University of Castilla-La Mancha Ciudad Real Spain
Traditionally, Random Utility Maximization (RUM) models have been widely applied to travel mode choice modelling. Currently, Machine Learning (ML) models are being applied as an alternative to RUM models, since they p... 详细信息
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Neural-iLQR: A Learning-Aided Shooting Method for Trajectory Optimization
Neural-iLQR: A Learning-Aided Shooting Method for Trajectory...
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2023 IEEE International Conference on robotics and Biomimetics, ROBIO 2023
作者: Cheng, Zilong Li, Yulin Chen, Kai Duan, Jianghua Ma, Jun Lee, Tong Heng National University of Singapore Department of Electrical and Computer Engineering Singapore The Hong Kong University of Science and Technology Department of Mechanical and Aerospace Engineering Hong Kong The Hong Kong University of Science and Technology Division of Emerging Interdisciplinary Areas Hong Kong Robotics and Autonomous Systems Thrust Guangzhou China Hkust Shenzhen-Hong Kong Collaborative Innovation Research Institute Shenzhen China
Iterative linear quadratic regulator (iLQR) has gained wide popularity in addressing trajectory optimization problems with nonlinear system models. However, as a model-based shooting method, it relies heavily on an ac...
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