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检索条件"机构=LARSyS: Laboratory for Robotics and Systems in Engineering and Science"
857 条 记 录,以下是31-40 订阅
排序:
Magnetically Driven Capsule Robot for Multi-Targeted Biopsy and Drug Delivery in Stomach
Magnetically Driven Capsule Robot for Multi-Targeted Biopsy ...
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2023 IEEE International Conference on robotics and Biomimetics, ROBIO 2023
作者: Xu, Zhihui Wei, Tanyong Li, Zongze Huang, Ding Liu, Shoubin Hu, Chengzhi Southern University of Science and Technology Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy Engineering Shenzhen China Southern University of Science and Technology Guangdong Prov. Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities Shenzhen China Harbin Institute of Technology School of Mechanical Engineering and Automation Shenzhen China
Capsule robots have emerged as a promising solution for non-invasive and painless screening of gastrointestinal diseases, offering significant advantages in patient comfort and reduced risk of cross-infection. Despite...
来源: 评论
Towards AI-Powered Edge Intelligence for Object Detection in Self-Driving Cars: Enhancing IoV Efficiency and Safety
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IEEE Internet of Things Journal 2025年 第11期12卷 16990-16997页
作者: Ahmed, Imran Ahmad, Misbah Siddiqi, Muftooh Ur Rehman Chehri, Abdellah Jeon, Gwangill Anglia Ruskin University School of Computing and Information Science Cambridge United Kingdom University of West of England Centre for Machine Vision Bristol Robotics Laboratory Bristol United Kingdom Hartpury University Department of Animal and Agriculture Gloucester United Kingdom Aston University College of Engineering and Physical Sciences Birmingham United Kingdom Department of Mathematics and Computer Science Canada Incheon National University Department of Embedded Systems Engineering Incheon Korea Republic of
In the rapidly advancing field of intelligent transportation systems, integrating Artificial Intelligence (AI) with edge computing presents a promising way to enhance the safety and efficiency of the Internet of Vehic... 详细信息
来源: 评论
STAPointGNN: Spatial-Temporal Attention Graph Neural Network for Gesture Recognition Using Millimeter-Wave Radar  19th
STAPointGNN: Spatial-Temporal Attention Graph Neural Network...
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19th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023
作者: Zhang, Jun Wang, Chunyu Wang, Shunli Zhang, Lihua Academy for Engineering and Technology Fudan University Shanghai China Jilin Provincial Key Laboratory of Intelligence Science and Engineering Changchun China Engineering Research Center of AI and Robotics Ministry of Education Shanghai China Engineering Research Center of AI and Unmanned Vehicle Systems of Jilin Province Changchun China
Gesture recognition plays a pivotal role in enabling natural and intuitive human-computer interaction (HCI), finding applications in diverse domains such as smart homes, robot control, and virtual reality. Thanks to a... 详细信息
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Robust Tracking for Electromagnetic-Actuated Microrobot Via Sliding Mode Control  49
Robust Tracking for Electromagnetic-Actuated Microrobot Via ...
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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
作者: Wu, Yihang Qu, Ziyao Chang, Xiaocong Hu, Zhijian Yang, Rongni Ma, Renjie Harbin Institute of Technology State Key Laboratory of Robotics and Systems Harbin China School of Electrical and Electronic Engineering Nanyang Technological University Singapore School of Control Science and Engineering Shandong University Jinan China
Microrobots can work in small, enclosed spaces and complete complex tasks. It has potential applications in the field of biomedical and life sciences. This paper focuses on investigating robust dynamic tracking for el... 详细信息
来源: 评论
A Fault Detection Method Based on Bearing Dynamics with Multi-frequency Sinusoidal Signal  41
A Fault Detection Method Based on Bearing Dynamics with Mult...
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第41届中国控制会议
作者: Xiaohong Li Zhicheng Li Zaiyue Yang Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy Engineeringand the Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in UniversitiesSouthern University of Science and Technology Academy for Advanced Interdisciplinary Studies Southern University of Science and Technology
Bearing is a common and important component in the industry,and it is crucial to detect and diagnose its working *** to the characteristic the motion process of the bearing that is a periodic nonlinear system with sin... 详细信息
来源: 评论
DROPLET-BASED MICROFLUIDIC SYNTHESIS OF FUNCTIONAL VASCULARIZED HYDROGEL MICROSPHERES  26
DROPLET-BASED MICROFLUIDIC SYNTHESIS OF FUNCTIONAL VASCULARI...
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26th International Conference on Miniaturized systems for Chemistry and Life sciences, MicroTAS 2022
作者: Zhan, Zhen Liu, Zeyang Li, Jianjie Zhang, Wenxuan Hu, Chengzhi Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy Engineering Southern University of Science and Technology China
This paper proposes a droplet-based microfluidic method to generate hydrogel microspheres with interior undulated wavy or spiral canals for 3D cell culture. Human umbilical vein endothelial cells (HUVECs) were culture... 详细信息
来源: 评论
Predict Hip Joint Moment Using CNN for Hip Exoskeleton Control  1
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16th International Conference on Intelligent robotics and Applications, ICIRA 2023
作者: Zhang, Yuanwen Xiong, Jingfeng Qian, Yuepeng Chen, Xinxing Guo, Yixuan Fu, Chenglong Leng, Yuquan Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy Engineering Southern University of Science and Technology Shenzhen518055 China Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities Southern University of Science and Technology Shenzhen518055 China National University of Singapore Singapore117583 Singapore
The assistance of the hip exoskeleton is closely related to hip joint moment, and the corresponding assistance can be generated by hip joint moment directly. However, it is difficult to obtain the hip joint moment dir... 详细信息
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Artificial neural network-based direct power control to enhance the performance of a PMSG-wind energy conversion system under real wind speed and parameter uncertainties: An experimental validation
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Energy Reports 2024年 11卷 4356-4378页
作者: Majout, Btissam Bossoufi, Badre Karim, Mohammed Skruch, Pawel Mobayen, Saleh El Mourabit, Youness El Zair Laggoun, Zakaria Laboratory of Engineering Modelling and Systems Analysis SMBA University Fez Morocco Department of Automatic Control and Robotics AGH University of Krakow Poland Graduate School of Intelligent Data Science National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou640301 Taiwan National School of Applied Sciences Abdelmalek Essaadi University Tetouan Morocco Laboratory of Electrotechnique Constantine Mentouri Brothers Constantine 1 University Constantine Algeria
With the increasing emphasis on embedding advanced technology into system controls, the Direct Power Control (DPC) approach has garnered considerable attention due to its simple and highly adaptable algorithm. This ap... 详细信息
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Data-based Stabilization of Unknown Discrete-time 2-D Roesser systems  23
Data-based Stabilization of Unknown Discrete-time 2-D Roesse...
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23rd International Conference on Machine Learning and Cybernetics, ICMLC 2024
作者: Yang, Runmin Yang, Rongni Ma, Renjie Zhu, Yanzheng Shi, Peng School of Control Science and Engineering Shandong University Jinan250061 China Harbin Institute of Technology State Key Laboratory of Robotics and Systems Harbin150001 China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao266590 China School of Electrical and Mechanical Engineering University of Adelaide AdelaideSA5005 Australia
This paper studies the stabilization problem of discrete-time two-dimensional (2-D) systems represented by Roesser based on available data. First of all, based on the pre-collected input-state data, the original syste... 详细信息
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Impact of Employing Weather Forecast Data as Input to the Estimation of Evapotranspiration by Deep Neural Network Models**
arXiv
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arXiv 2024年
作者: Vaz, Pedro J. Schütz, Gabriela Guerrero, Carlos Cardoso, Pedro J.S. Universidade do Algarve Portugal CEOT – Centre for Electronics Optoelectronics and Telecommunications Portugal MED – Mediterranean Institute for Agriculture Environment and Development Portugal LARSyS Laboratory of Robotics and Engineering Systems Portugal
Reference Evapotranspiration (ET!) is a key parameter for designing smart irrigation scheduling, since it is related by a coefficient to the water needs of a crop. The United Nations Food and Agriculture Organization,... 详细信息
来源: 评论