咨询与建议

限定检索结果

文献类型

  • 2,425 篇 会议
  • 1,475 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 3,901 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 2,357 篇 工学
    • 1,412 篇 计算机科学与技术...
    • 1,269 篇 软件工程
    • 731 篇 控制科学与工程
    • 445 篇 信息与通信工程
    • 342 篇 生物工程
    • 331 篇 机械工程
    • 264 篇 光学工程
    • 210 篇 电气工程
    • 203 篇 生物医学工程(可授...
    • 179 篇 交通运输工程
    • 141 篇 仪器科学与技术
    • 137 篇 电子科学与技术(可...
    • 123 篇 化学工程与技术
    • 92 篇 土木工程
    • 85 篇 建筑学
    • 78 篇 力学(可授工学、理...
    • 78 篇 动力工程及工程热...
    • 69 篇 安全科学与工程
  • 1,198 篇 理学
    • 572 篇 数学
    • 356 篇 生物学
    • 347 篇 物理学
    • 207 篇 统计学(可授理学、...
    • 139 篇 系统科学
    • 116 篇 化学
  • 495 篇 管理学
    • 321 篇 管理科学与工程(可...
    • 197 篇 图书情报与档案管...
    • 135 篇 工商管理
  • 141 篇 医学
    • 135 篇 临床医学
    • 101 篇 基础医学(可授医学...
  • 87 篇 法学
    • 84 篇 社会学
  • 52 篇 经济学
  • 28 篇 教育学
  • 25 篇 农学
  • 8 篇 文学
  • 7 篇 艺术学
  • 4 篇 军事学
  • 2 篇 历史学
  • 1 篇 哲学

主题

  • 133 篇 feature extracti...
  • 129 篇 training
  • 99 篇 robots
  • 97 篇 intelligent robo...
  • 87 篇 artificial intel...
  • 87 篇 accuracy
  • 86 篇 object detection
  • 85 篇 semantics
  • 81 篇 three-dimensiona...
  • 74 篇 reinforcement le...
  • 72 篇 cameras
  • 71 篇 robustness
  • 70 篇 robot sensing sy...
  • 70 篇 computer vision
  • 69 篇 computational mo...
  • 65 篇 real-time system...
  • 64 篇 convolution
  • 59 篇 visualization
  • 58 篇 trajectory
  • 57 篇 deep learning

机构

  • 403 篇 institute of art...
  • 332 篇 shenzhen institu...
  • 153 篇 institute of art...
  • 131 篇 school of artifi...
  • 114 篇 school of scienc...
  • 80 篇 university of ch...
  • 75 篇 institute of art...
  • 65 篇 the chinese univ...
  • 64 篇 institute of aut...
  • 63 篇 siat branch shen...
  • 60 篇 state key labora...
  • 59 篇 centre for artif...
  • 47 篇 shenzhen institu...
  • 46 篇 the shenzhen ins...
  • 43 篇 tianjin key labo...
  • 43 篇 school of softwa...
  • 42 篇 national key lab...
  • 40 篇 institute of rob...
  • 39 篇 institute of art...
  • 37 篇 lamarr institute...

作者

  • 246 篇 nanning zheng
  • 212 篇 zheng nanning
  • 77 篇 chen badong
  • 70 篇 jingmin xin
  • 52 篇 al-turjman fadi
  • 51 篇 jianru xue
  • 49 篇 huang jianwei
  • 49 篇 badong chen
  • 49 篇 zhang zhaoxiang
  • 48 篇 shaoyi du
  • 47 篇 liu yuehu
  • 46 篇 zhou sanping
  • 45 篇 yuehu liu
  • 45 篇 shen linlin
  • 45 篇 lei zhen
  • 41 篇 xin jingmin
  • 39 篇 wang le
  • 37 篇 shitao chen
  • 36 篇 lan xuguang
  • 36 篇 wang jinjun

语言

  • 3,657 篇 英文
  • 197 篇 其他
  • 50 篇 中文
  • 1 篇 朝鲜文
检索条件"机构=Institute of artificial intelligence and robotics"
3901 条 记 录,以下是141-150 订阅
排序:
A Game Approach for EV Brands' Investment Planning of Battery Swapping Stations
A Game Approach for EV Brands' Investment Planning of Batter...
收藏 引用
2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2022
作者: Ren, Heyu Sun, Chenxi Tang, Xiaoying Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China
In the current market of energy supply for electric vehicles (EVs), charging stations (CSs) have a definitely high market share, while the battery swapping stations (BSSs) are rapidly developed in recent years due to ... 详细信息
来源: 评论
Dynamic Movement Primitives Based Robot Skills Learning
收藏 引用
Machine intelligence Research 2023年 第3期20卷 396-407页
作者: Ling-Huan Kong Wei He Wen-Shi Chen Hui Zhang Yao-Nan Wang School of Intelligence Science and Technology University of Science and Technology BeijingBeijing 100083China Institute of Artificial Intelligence University of Science and Technology BeijingBeijing 100083China School of Robotics and the National Engineering Laboratory of Robot Visual Perception and Control Technology Hunan UniversityChangsha 410082China
In this article,a robot skills learning framework is developed,which considers both motion modeling and *** order to enable the robot to learn skills from demonstrations,a learning method called dynamic movement primi... 详细信息
来源: 评论
Semantic-aware knowledge distillation with parameter-free feature uniformization
收藏 引用
Visual intelligence 2023年 第1期1卷 1-12页
作者: Guo, Guangyu Han, Longfei Wang, Le Zhang, Dingwen Han, Junwei Brain and Artificial Intelligence Laboratory School of Automation Northwestern Polytechnical University Xi’an China Beijing Technology and Business University Beijing China Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Shaanxi Xi’an China Xijing Hospital The Fourth Military Medical University Xi’an China Hefei Comprehensive National Science Center Institute of Artificial Intelligence Hefei China
Knowledge distillation aims to distill knowledge from teacher networks to train student networks. Distilling intermediate features has attracted much attention in recent years as it can be flexibly applied in various ... 详细信息
来源: 评论
VLSI Design for High-Precision Three-Dimensional Depth Perception Chip
收藏 引用
Chinese Journal of Electronics 2021年 第3期30卷 556-560页
作者: GE Chenyang YAO Huimin ZHOU Yanhui DENG Pengchao Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Institute of electromagnetic and information technology Xi'an Jiaotong University
This paper presents a Very large scale integration(VLSI) design method for Three-dimensional(3 D) depth perception chip based on infrared coding structure light. The primary sub-modules on the chip contain the speckle... 详细信息
来源: 评论
Modeling and Linear Active Disturbance Rejection Control of a New Morphing Quadrotor
Modeling and Linear Active Disturbance Rejection Control of ...
收藏 引用
International Conference on Guidance, Navigation and Control, ICGNC 2022
作者: Sun, Haosheng He, Chunhui Wu, Qingxiang Chen, He Sun, Ning Institute of Robotics and Automatic Information Systems College of Artificial Intelligence Nankai University Tianjin300350 China Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute of Nankai University Shenzhen518083 China School of Artificial Intelligence Hebei University of Technology Tianjin300401 China
In many practical applications like rescues, the morphing quadrotors perform better than conventional quadrotors in complex and variable environments, such as traveling through narrow gaps. However, their dynamic prop... 详细信息
来源: 评论
An Auto-tuned Motion Scaling Method Based on Visual Recognition∗
An Auto-tuned Motion Scaling Method Based on Visual Recognit...
收藏 引用
2023 IEEE International Conference on Real-Time Computing and robotics, RCAR 2023
作者: Wang, Xinyu Ji, Xiaoqiang Sun, Zhenglong The Chinese University of HongKong School of Science and Engineering Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society Guangdong China
Motion scaling is an effective technique in teleoperation systems. Changing the scaling factor makes it possible for delicate operations in a certain area. However, manually tuning the scaling factor is complex for th... 详细信息
来源: 评论
Squeezing More Past Knowledge for Online Class-Incremental Continual Learning
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2023年 第3期10卷 722-736页
作者: Da Yu Mingyi Zhang Mantian Li Fusheng Zha Junge Zhang Lining Sun Kaiqi Huang the State Key Laboratory of Robotics and System Harbin Institute of Technology(HIT)Harbin 150080China Center for Research on Intelligent System and Engineering Institute of AutomationChinese Academy of Sciences(CASIA)Beijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Center for Research on Intelligent System and Engineering Institute of AutomationChinese Academy of Sciences(CASIA)Beijing 100190the School of Artificial IntelligenceUniversity of Chinese Academy of SciencesBeijing 100049 the CAS Center for Excellence in Brain Science and Intelligence Technology Shanghai 200031China IEEE
Continual learning(CL)studies the problem of learning to accumulate knowledge over time from a stream of data.A crucial challenge is that neural networks suffer from performance degradation on previously seen data,kno... 详细信息
来源: 评论
Socially-Compatible Motion Planning of Autonomous Vehicles with Verification on Real Human Data  27
Socially-Compatible Motion Planning of Autonomous Vehicles w...
收藏 引用
27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024
作者: Zhang, Chenxi Chen, Shitao Shi, Jiamin Xin, Jingmin Zheng, Nanning National Engineering Research Center for Visual Information and Applications Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Shaanxi Xi'an710049 China
One of the fundamental challenges for autonomous vehicles in complex dynamic scenarios is planning human-like trajectories in a socially acceptable manner. Existing methods, focused solely on self-interest and implici... 详细信息
来源: 评论
Reward-Based Energy-Aware Routing Protocols in Wireless Sensor Networks
Reward-Based Energy-Aware Routing Protocols in Wireless Sens...
收藏 引用
International Conference on Smart Applications and Sustainability in the artificial intelligence of Things, SAS-AIoT 2024
作者: Salama, Ramiz Alturjman, Sinem Altrjman, Chadi Al-Turjman, Fadi Department of Computer Engineering AI and Robotics Institute Research Center for AI and IoT Near East University Nicosia Cyprus Artificial Intelligence Software and Information Systems Engineering Departments AI and Robotics Institute Near East University Nicosia Cyprus
Smart cities, industrial automation, healthcare, and environmental monitoring are just a few of the industries that have seen revolutionary changes as a result of Wireless Sensor Networks’ (WSNs) explosive growth. WS... 详细信息
来源: 评论
MDRAE: An Attention Mechanism-Based Autoencoder for Missing Data Recovery in Smart Grids  7
MDRAE: An Attention Mechanism-Based Autoencoder for Missing ...
收藏 引用
7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023
作者: Liu, Guolong Bai, Yan Liu, Jinjie Zhao, Huan Liang, Gaoqi Zhao, Junhua Shenzhen Institute of Artificial Intelligence and Robotics For Society The Chinese University of Hong Kong Shenzhen Shenzhen China School of Science and Engineering The Chinese University of Hong Kong Shenzhen Shenzhen China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Shenzhen Institute of Artificial Intelligence and Robotics For Society School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics For Society School of Science and Engineering The Chinese University of Hong Kong Shenzhen Shenzhen China
Smart grids have rapidly developed in recent years, and a large amount of data has been collected and become the basis for decision-making of power grid operation. To ensure the safe and stable operation of the power ... 详细信息
来源: 评论