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检索条件"机构=Robotics Embedded Systems Laboratory Robotics Research Laboratory Department of Computer Science"
489 条 记 录,以下是101-110 订阅
排序:
Clustering-Based Resource Management for Consumer Cost Optimization in IoT Edge Computing Environments
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IEEE Transactions on Consumer Electronics 2024年 1-1页
作者: Denden, Mohsen Jemmali, Mahdi Boulila, Wadii Soni, Mukesh Khan, Faheem Ahmad, Jawad Department of Computer and Information Technologies College of Telecommunication and Information CTI Riyadh Saudi Arabia Department of Computer Science College of Computing and Informatics University of Sharjah Sharjah UAE Robotics and Internet-of-Things Laboratory Prince Sultan University Riyadh Saudi Arabia Department of CSE University Centre for Research and Development Chandigarh University Mohali Punjab- India Department of Computer Engineering Gachon University Seongnam-si South Korea School of Computing Engineering and the Built Environment Edinburgh Napier University U.K
Edge computing emerges as a pivotal model in the era of next-generation consumer electronics and the emerging challenges of multimodal data-driven decision-making. Specifically, edge computing offers an open computing... 详细信息
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Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off  39
Pareto Continual Learning: Preference-Conditioned Learning a...
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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Lai, Song Zhao, Zhe Zhu, Fei Lin, Xi Zhang, Qingfu Meng, Gaofeng Department of Computer Science City University of Hong Kong Hong Kong Centre for Artificial Intelligence and Robotics HK Institute of Science & Innovation Chinese Academy of Sciences China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences China School of Artificial Intelligence University of Chinese Academy of Sciences China City University of Hong Kong Shenzhen Research Institute Hong Kong University of Science and Technology of China China
Continual learning aims to learn multiple tasks sequentially. A key challenge in continual learning is balancing between two objectives: retaining knowledge from old tasks (stability) and adapting to new tasks (plasti... 详细信息
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MR2CPPIS: Accurate prediction of protein–protein interaction sites based on multi-scale Res2Net with coordinate attention mechanism
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computers in Biology and Medicine 2024年 176卷 108543-108543页
作者: Gong, Yinyin Li, Rui Liu, Yan Wang, Jilong Cao, Buwen Fu, Xiangzheng Li, Renfa Chen, Danny Z. College of Computer Science and Electronic Engineering Hunan University Changsha410082 China Hunan Engineering Research Center of Advanced Embedded Computing and Intelligent Medical Systems Hunan University Changsha410082 China Peng Cheng Laboratory Shenzhen518066 China College of Information and Electronic Engineering Hunan City University Yiyang413002 China Department of Computer Science and Engineering University of Notre Dame Notre DameIN46556 United States
Proteins play a vital role in various biological processes and achieve their functions through protein–protein interactions (PPIs). Thus, accurate identification of PPI sites is essential. Traditional biological meth... 详细信息
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A Channel Selection Method for Motor Imagery EEG Based on Fisher Score of OVR-CSP
A Channel Selection Method for Motor Imagery EEG Based on Fi...
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International Winter Workshop on Brain-computer Interface (BCI)
作者: Wei Mu Junkongshuai Wang Lu Wang Pengchao Wang Jiaguan Han Lan Niu Jianxiong Bin Lusheng Liu Jing Zhang Jie Jia Lihua Zhang Xiaoyang Kang Shanghai Engineering Research Center of AI & Robotics MOE Frontiers Center for Brain Science State Key Laboratory of Medical Neurobiology Institute of AI & Robotics Laboratory for Neural Interface and Brain Computer Interface Institute of Meta-Medical Academy for Engineering & Technology Fudan University Shanghai China Ji Hua Laboratory Foshan Guangdong Province China Department of Rehabilitation Medicine Huashan Hospital Fudan University Shanghai China Yiwu Research Institute of Fudan University Chengbei Road Yiwu City Zhejiang China Research Center for Intelligent Sensing Zhejiang Lab Hangzhou China
EEG is widely used in the field of brain computer interfaces. It has the advantages of being non-invasive, easy acquisition, and so on. However, multi-channel EEG signals will bring noise interference and redundant in... 详细信息
来源: 评论
QUADFormer: Learning-based Detection of Cyber Attacks in Quadrotor UAVs
arXiv
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arXiv 2024年
作者: Wang, Pengyu Yang, Zhaohua Yang, Nachuan Wang, Zikai Li, Jialu Zhang, Fan Wang, Chaoqun Wang, Jiankun Meng, Max Q.-H. Shi, Ling Shenzhen Key Laboratory of Robotics Perception and Intelligence The Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong The School of Control Science and Engineering Shandong University Shandong China Jiaxing Research Institute Southern University of Science and Technology Jiaxing China Department of Electronic Engineering The Chinese University of Hong Kong Hong Kong Department of Electrical and Computer Engineering The University of Alberta Canada
Safety-critical intelligent cyber-physical systems, such as quadrotor unmanned aerial vehicles (UAVs), are vulnerable to different types of cyber attacks, and the absence of timely and accurate attack detection can le... 详细信息
来源: 评论
Neural P3M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
arXiv
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arXiv 2024年
作者: Wang, Yusong Cheng, Chaoran Li, Shaoning Ren, Yuxuan Shao, Bin Liu, Ge Heng, Pheng-Ann Zheng, Nanning 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 China University of Illinois Urbana-Champaign United States Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong University of Science and Technology of China China Microsoft Research AI4Science
Geometric graph neural networks (GNNs) have emerged as powerful tools for modeling molecular geometry. However, they encounter limitations in effectively capturing long-range interactions in large molecular systems du... 详细信息
来源: 评论
EFFICIENT UNIVERSAL SHUFFLE ATTACK FOR VISUAL OBJECT TRACKING
arXiv
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arXiv 2022年
作者: Liu, Siao Chen, Zhaoyu Li, Wei Zhu, Jiwei Wang, Jiafeng Zhang, Wenqiang Gan, Zhongxue Academy for Engineering and Technology Fudan University Shanghai China School of Computer Science Fudan University Shanghai China The Department of Engineering Research Center for Intelligent Robotics Ji Hua Laboratory Foshan China
Recently, adversarial attacks have been applied in visual object tracking to deceive deep trackers by injecting imperceptible perturbations into video frames. However, previous work only generates the video-specific p... 详细信息
来源: 评论
Grand Challenges in the Verification of Autonomous systems
arXiv
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arXiv 2024年
作者: Leahy, Kevin Asgari, Hamid Dennis, Louise A. Feather, Martin S. Fisher, Michael Ibanez-Guzman, Javier Logan, Brian Olszewska, Joanna I. Redfield, Signe Robotics Engineering Department Worcester Polytechnic Institute WorcesterMA United States Complex and Autonomous Systems Research Group Thales UK Research Reading United Kingdom Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Department of Computer Science University of Manchester Manchester United Kingdom Renault Guyancourt France Department of Computing Science University of Aberdeen Aberdeen United Kingdom Department of Information and Computing Sciences Utrecht University Utrecht Netherlands School of Computing and Engineering University of the West of Scotland Glasgow United Kingdom U.S. Naval Research Laboratory WashingtonDC United States
Autonomous systems use independent decisionmaking with only limited human intervention to accomplish goals in complex and unpredictable environments. As the autonomy technologies that underpin them continue to advance...
来源: 评论
Bidirectional Search Strategy for Incremental Search-based Path Planning
Bidirectional Search Strategy for Incremental Search-based P...
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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)
作者: Chenming Li Han Ma Jiankun Wang Max Q.-H. Meng Department of Electronic Engineering The Chinese University of Hong Kong Shatin N.T. Hong Kong SAR China Department of Electronic and Electrical Engineering Shenzhen Key Laboratory of Robotics Perception and Intelligence Southern University of Science and Technology Shenzhen China Jiaxing Research Institute Southern University of Science and Technology Jiaxing China Department of Electronic and Electrical Engineering Shenzhen Key Laboratory of Robotics Per-ception and Intelligence Southern University of Science and Technology Shenzhen China Emeritus in the Department of Electronic Engineering The Chinese University of Hong Kong in Hong Kong Department of Electrical and Computer Engineering University of Alberta in Canada
Planning a collision-free path efficiently among obstacles is crucial in robotics. Conventional one-shot unidirectional path planning algorithms work well in the static environment, but cannot respond to the environme...
来源: 评论
Digital Fabrication of Bio-Inspired Robotic Modular systems based on Biomechanics of Inching-Locomotion Caterpillars
Digital Fabrication of Bio-Inspired Robotic Modular Systems ...
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Colombian Caribbean Conference (C3), IEEE
作者: José Cornejo Sergio Marquez Sanchez J. Enrique Sierra Francisco Javier Gomez-Gil Ricardo Palomares Alfredo Weitzenfeld Department of Electromechanical Engineering University of Burgos Burgos Spain BISITE Research Group University of Salamanca Salamanca Spain Research Group of Robotics and Mechatronics (GI-ROMA) Professional School of Mechatronics Engineering Universidad Ricardo Palma Lima Peru Department of Computer Science and Engineering Biorobotics Laboratory University of South Florida FL USA
Inching-locomotion caterpillars have biomechanical features for good performance in manipulation tasks. This research focuses on the study of kinematic chains in 2 species of the Lepidoptera family. The motion analysi...
来源: 评论