咨询与建议

限定检索结果

文献类型

  • 948 篇 会议
  • 424 篇 期刊文献

馆藏范围

  • 1,372 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 897 篇 工学
    • 380 篇 控制科学与工程
    • 346 篇 计算机科学与技术...
    • 317 篇 软件工程
    • 281 篇 机械工程
    • 168 篇 仪器科学与技术
    • 129 篇 电气工程
    • 94 篇 信息与通信工程
    • 72 篇 电子科学与技术(可...
    • 71 篇 生物工程
    • 57 篇 光学工程
    • 52 篇 力学(可授工学、理...
    • 51 篇 生物医学工程(可授...
    • 50 篇 材料科学与工程(可...
    • 50 篇 化学工程与技术
    • 48 篇 动力工程及工程热...
    • 45 篇 交通运输工程
    • 37 篇 建筑学
    • 33 篇 安全科学与工程
    • 32 篇 土木工程
    • 29 篇 航空宇航科学与技...
  • 424 篇 理学
    • 202 篇 数学
    • 132 篇 物理学
    • 82 篇 系统科学
    • 71 篇 生物学
    • 67 篇 统计学(可授理学、...
    • 45 篇 化学
  • 142 篇 管理学
    • 127 篇 管理科学与工程(可...
    • 33 篇 工商管理
    • 24 篇 图书情报与档案管...
  • 37 篇 医学
    • 31 篇 临床医学
  • 19 篇 法学
  • 15 篇 经济学
  • 8 篇 农学
  • 3 篇 教育学
  • 3 篇 军事学
  • 1 篇 文学
  • 1 篇 艺术学

主题

  • 43 篇 training
  • 40 篇 robots
  • 34 篇 robot sensing sy...
  • 33 篇 feature extracti...
  • 31 篇 force
  • 31 篇 mathematical mod...
  • 29 篇 accuracy
  • 28 篇 manipulators
  • 28 篇 mobile robots
  • 27 篇 robustness
  • 26 篇 real-time system...
  • 26 篇 trajectory
  • 25 篇 visualization
  • 24 篇 simulation
  • 24 篇 control systems
  • 23 篇 neural networks
  • 23 篇 predictive model...
  • 23 篇 kinematics
  • 22 篇 reinforcement le...
  • 22 篇 computational mo...

机构

  • 215 篇 institutes for r...
  • 196 篇 key laboratory o...
  • 154 篇 university of ch...
  • 154 篇 state key labora...
  • 137 篇 shenyang institu...
  • 78 篇 state key labora...
  • 68 篇 state key labora...
  • 44 篇 state key labora...
  • 39 篇 school of artifi...
  • 35 篇 state key labora...
  • 34 篇 state key labora...
  • 25 篇 chinese academy ...
  • 25 篇 key laboratory o...
  • 23 篇 chinese academy ...
  • 20 篇 state key labora...
  • 19 篇 college of elect...
  • 19 篇 school of electr...
  • 18 篇 the state key la...
  • 17 篇 school of inform...
  • 17 篇 college of infor...

作者

  • 28 篇 yang kailun
  • 28 篇 peng zeng
  • 26 篇 zeng peng
  • 24 篇 shi hao
  • 23 篇 song chunhe
  • 22 篇 tao zhang
  • 22 篇 chenguang yang
  • 21 篇 junzhi yu
  • 21 篇 wang kaiwei
  • 21 篇 zeng-guang hou
  • 18 篇 liang wei
  • 16 篇 zhang yinlong
  • 15 篇 zhang tao
  • 15 篇 yang zhijia
  • 15 篇 xiong rong
  • 15 篇 yu junzhi
  • 15 篇 wei liang
  • 14 篇 jie zhao
  • 14 篇 wang yue
  • 14 篇 gao fei

语言

  • 1,135 篇 英文
  • 201 篇 其他
  • 37 篇 中文
  • 1 篇 日文
检索条件"机构=Key Laboratory of Networked Control Systems State Key Laboratory of Robotics"
1372 条 记 录,以下是561-570 订阅
排序:
Muscular stimulation based biological actuator from locust’s hindleg
Muscular stimulation based biological actuator from locust’...
收藏 引用
IEEE International Conference on robotics and Automation (ICRA)
作者: Songsong Ma Peng Liu Shen Liu Yao Li Bing Li State Key Laboratory of Robotics and Systems Harbin Institute of Technology Shenzhen China
The development and control of biological actuators have been an active research field. Biological actuators revealed high mobility with compact dimensions, which is critical for the design of microrobots. The powerfu... 详细信息
来源: 评论
Towards Single-Lens controllable Depth-of-Field Imaging via Depth-Aware Point Spread Functions
arXiv
收藏 引用
arXiv 2024年
作者: Qian, Xiaolong Jiang, Qi Gao, Yao Gao, Shaohua Yi, Zhonghua Sun, Lei Wei, Kai Li, Haifeng Yang, Kailun Wang, Kaiwei Bai, Jian State Key Laboratory of Extreme Photonics and Instrumentation Zhejiang University Hangzhou310027 China School of Robotics Hunan University Changsha410012 China National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University Changsha410082 China
controllable Depth-of-Field (DoF) imaging commonly produces amazing visual effects based on heavy and expensive high-end lenses. However, confronted with the increasing demand for mobile scenarios, it is desirable to ... 详细信息
来源: 评论
Fast Realization of Robot 3D Simulation Based on WebGL
Fast Realization of Robot 3D Simulation Based on WebGL
收藏 引用
Chinese control and Decision Conference, CCDC
作者: Tao Zhang Xintong Wang Yun Teng Jingzhe Fang Yiqiang Zhang Xiyou Chen School of Electrical Engineering Dalian University of Technology Dalian China 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 School of Electrical Engineering Shenyang University of Technology Shenyang China
As science and technology have advanced, an increasing number of people are focusing their study on 3D robot simulation. The 3D quick simulation of the mechanical arm can be achieved using 3D modeling software and ***...
来源: 评论
Towards Precise 3D Human Pose Estimation with Multi-Perspective Spatial-Temporal Relational Transformers
Towards Precise 3D Human Pose Estimation with Multi-Perspect...
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Jianbin Jiao Xina Cheng Weijie Chen Xiaoting Yin Hao Shi Kailun Yang School of Artificial Intelligence Xidian University China State Key Laboratory of Extreme Photonics and Instrumentation Zhejiang University China School of Robotics Hunan University China National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University China
3D human pose estimation captures the human joint points in three-dimensional space while keeping the depth information and physical structure. That is essential for applications that require precise pose information,... 详细信息
来源: 评论
Adaptive Learning-based Model Predictive control Strategy for Drift Vehicles
arXiv
收藏 引用
arXiv 2025年
作者: Zhou, Bei Hu, Cheng Zeng, Jun Li, Zhouheng Betz, Johannes Xie, Lei Su, Hongye The State Key Laboratory of Industrial Control Technology Zhejiang University 38 Zheda Road Xihu District Hang zhou Zhejiang310027 China Hybrid Robotics Group The Department of Mechanical Engineering UC Berkeley United States Technical University of Munich Garching85748 Germany
Drift vehicle control offers valuable insights to support safe autonomous driving in extreme conditions, which hinges on tracking a particular path while maintaining the vehicle states near the drift equilibrium point... 详细信息
来源: 评论
Learning Pre-Grasp Manipulation of Flat Objects in Cluttered Environments using Sliding Primitives
Learning Pre-Grasp Manipulation of Flat Objects in Cluttered...
收藏 引用
IEEE International Conference on robotics and Automation (ICRA)
作者: Jiaxi Wu Haoran Wu Shanlin Zhong Quqin Sun Yinlin Li State Key Laboratory of Turbulence and Complex Systems Intelligent Biomimetic Design Lab College of Engineering Peking University Beijing China Department of Automation University of Science and Technology of China Heifei China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Science Beijing China Science and Technology on Thermal Energy and Power Laboratory Wuhan China
Flat objects with negligible thicknesses like books and disks are challenging to be grasped by the robot because of the width limit of the robot's gripper, especially when they are in cluttered environments. Pre-g...
来源: 评论
LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane
arXiv
收藏 引用
arXiv 2022年
作者: Wang, Ze Yang, Kailun Shi, Hao Li, Peng Gao, Fei Wang, Kaiwei State Key Laboratory of Modern Optical Instrumentation Zhejiang University China Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Germany State Key Laboratory of Industrial Control Technology Zhejiang University China Huzhou Institute of Zhejiang University Zhejiang University China
Visual-inertial-odometry has attracted extensive attention in the field of autonomous driving and robotics. The size of Field of View (FoV) plays an important role in Visual-Odometry (VO) and Visual-Inertial-Odometry ... 详细信息
来源: 评论
Position control of X-Y Precision Planar Motion Stage Based on Iterative Learning and Cross-coupling
Position Control of X-Y Precision Planar Motion Stage Based ...
收藏 引用
Data Driven control and Learning systems (DDCLS)
作者: Jingzhe Fang Tao Zhang Xiyou Chen Chen Qi Guopeng Zhang Hualiang Zhang Hongyu Yan School of Electrical Engineering Shenyang University of Technology Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China School of Electrical Engineering Dalian University of Technology Dalian 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
In some precision machining applications, not only should we pay attention to the tracking accuracy of the X-Y precision plane motion table, but the more important criterion is the contour accuracy. This paper propose...
来源: 评论
Real-time Whole-body Motion Planning for Mobile Manipulators Using Environment-adaptive Search and Spatial-temporal Optimization
Real-time Whole-body Motion Planning for Mobile Manipulators...
收藏 引用
IEEE International Conference on robotics and Automation (ICRA)
作者: Chengkai Wu Ruilin Wang Mianzhi Song Fei Gao Jie Mei Boyu Zhou School of Artificial Intelligence Sun Yat-Sen University Zhuhai China School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen Shenzhen China State Key Laboratory of Industrail Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China
Mobile manipulators have recently gained significant attention in the robotics community due to their superior potential in industrial and service applications. However, the high degree of freedom associated with mobi... 详细信息
来源: 评论
Fault Diagnosis Based on RseNet-LSTM for Industrial Process  5
Fault Diagnosis Based on RseNet-LSTM for Industrial Process
收藏 引用
5th IEEE Advanced Information Technology, Electronic and Automation control Conference, IAEAC 2021
作者: Yao, Peifu Yang, Shaojie Li, Peng China Copper Co.LTD Kunming China Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China
Aiming at the problems that conventional data-driven diagnosis methods are difficult to adaptively extract effective features from industrial process data, and do not make full use of the time series characteristics o... 详细信息
来源: 评论