咨询与建议

限定检索结果

文献类型

  • 2,425 篇 会议
  • 1,478 篇 期刊文献
  • 12 册 图书

馆藏范围

  • 3,915 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 2,358 篇 工学
    • 1,413 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...
  • 94 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...
  • 154 篇 institute of art...
  • 131 篇 school of artifi...
  • 114 篇 school of scienc...
  • 80 篇 university of ch...
  • 76 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

  • 248 篇 nanning zheng
  • 212 篇 zheng nanning
  • 77 篇 chen badong
  • 70 篇 jingmin xin
  • 52 篇 al-turjman fadi
  • 52 篇 badong chen
  • 51 篇 jianru xue
  • 49 篇 huang jianwei
  • 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

  • 3,671 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"
3915 条 记 录,以下是51-60 订阅
排序:
Your Learned Constraint is Secretly a Backward Reachable Tube
arXiv
收藏 引用
arXiv 2025年
作者: Qadri, Mohamad Swamy, Gokul Francis, Jonathan Kaess, Michael Bajcsy, Andrea Carnegie Mellon University Robotics Institute United States Bosch Center for Artificial Intelligence United States
Inverse Constraint Learning (ICL) is the problem of inferring constraints from safe (i.e., constraint-satisfying) demonstrations. The hope is that these inferred constraints can then be used downstream to search for s... 详细信息
来源: 评论
Group Decision-Making in Robot Teleoperation: Two Heads are Better Than One  20
Group Decision-Making in Robot Teleoperation: Two Heads are ...
收藏 引用
20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025
作者: Nguyen, Duc-An Bhattacharyya, Raunak Colombatto, Clara Fleming, Steve Posner, Ingmar Hawes, Nick Oxford Robotics Institute University of Oxford Oxford United Kingdom Yardi School of Artificial Intelligence Indian Institute of Technology Delhi New Delhi India University of Waterloo Department of Psychology ON Canada University College London Department of Experimental Psychology London United Kingdom
Operators working with robots in safety-critical domains have to make decisions under uncertainty, which remains a challenging problem for a single human operator. An open question is whether two human operators can m... 详细信息
来源: 评论
Stochastic-Aware Mamba Diffusion for Pedestrian Trajectory Prediction
Stochastic-Aware Mamba Diffusion for Pedestrian Trajectory P...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Ziyang Ren Ping Wei Haowen Tang Huan Li Jin Yang Jialu Qin National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an China
Pedestrian trajectory prediction plays a crucial role in understanding human behavior and intentions. Due to the inherent randomness in human movement, current research constructs trajectories in stochastic space and ... 详细信息
来源: 评论
Research on underwater target tracking method based on IPSO-LSTM
Research on underwater target tracking method based on IPSO-...
收藏 引用
2024 International Conference on Mechatronic Engineering and artificial intelligence, MEAI 2024
作者: Guo, Xaingyun Liu, Kaizhou Wang, Yanhong School of Artificial Intelligence Shenyang University of Technology Liaoning Province Shenyang110870 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Liaoning Province Shenyang110016 China
When tracking underwater targets, due to the limited performance of detection equipment and complex environment interference, the target data is lost in the transmission process, which affects the accuracy of target t... 详细信息
来源: 评论
Layer-Animate for Transparent Video Generation
Layer-Animate for Transparent Video Generation
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Jingqi Bai Jingkai Zhou Benzhi Wang Weihua Chen Yang Yang Zhen Lei Fan Wang State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Sciences Alibaba Group Centre for Artificial Intelligence and Robotics Hong Kong Institute of Science & Innovation Chinese Academy of Sciences
Transparent videos with alpha channels play a crucial role in film production, advertising, and augmented reality fields. However, there is currently no available method for producing transparent videos. Traditional m... 详细信息
来源: 评论
ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density Images
arXiv
收藏 引用
arXiv 2025年
作者: Shen, Yanqing Tuna, Turcan Hutter, Marco Cadena, Cesar Zheng, Nanning Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University China Robotic Systems Lab ETH Zurich Switzerland
Place recognition is essential to maintain global consistency in large-scale localization systems. While research in urban environments has progressed significantly using LiDARs or cameras, applications in natural for... 详细信息
来源: 评论
Data-efficient LLM Fine-tuning for Code Generation
arXiv
收藏 引用
arXiv 2025年
作者: Lv, Weijie Xia, Xuan Huang, Sheng-Jun Nanjing University of Aeronautics and Astronautics Nanjing China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China
Large language models (LLMs) have demonstrated significant potential in code generation tasks. However, there remains a performance gap between open-source and closed-source models. To address this gap, existing appro... 详细信息
来源: 评论
Towards Conscious Service Robots
arXiv
收藏 引用
arXiv 2025年
作者: Behnke, Sven Autonomous Intelligent Systems Computer Science Institute VI – Intelligent Systems and Robotics Center for Robotics the Lamarr Institute for Machine Learning and Artificial Intelligence University of Bonn Germany
Deep learning’s success in perception, natural language processing, etc. inspires hopes for advancements in autonomous robotics. However, real-world robotics face challenges like variability, high-dimensional state s... 详细信息
来源: 评论
BrainCLIP: Brain Representation via CLIP for Generic Natural Visual Stimulus Decoding
收藏 引用
IEEE Transactions on Medical Imaging 2025年 PP卷 PP页
作者: Ma, Yongqiang Liu, Yulong Chen, Liangjun Zhu, Guibo Chen, Badong Zheng, Nanning Xi'an Jiaotong University National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center of Visual Information and Applications Institute of Artificial Intelligence and Robotics Shaanxi Xi'an710049 China Institute of Automation Beijing China
Functional Magnetic Resonance Imaging (fMRI) presents challenges due to limited paired samples and low signal-to-noise ratios, particularly in tasks involving reconstructing natural images or decoding their semantic c... 详细信息
来源: 评论
Person Segmentation and Action Classification for Multi-Channel Hemisphere Field of View LiDAR Sensors
Person Segmentation and Action Classification for Multi-Chan...
收藏 引用
IEEE/SICE International Symposium on System Integration
作者: Svetlana Seliunina Artem Otelepko Raphael Memmesheimer Sven Behnke Autonomous Intelligent Systems Group Computer Science Institute VI – Intelligent Systems and Robotics Lamarr Institute for Machine Learning and Artificial Intelligence and Center for Robotics University of Bonn
Robots need to perceive persons in their surroundings for safety and to interact with them. In this paper, we present a person segmentation and action classification approach that operates on 3D scans of hemisphere fi... 详细信息
来源: 评论