中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [258]
采集方式
OAI收割 [258]
内容类型
期刊论文 [194]
会议论文 [63]
期刊 [1]
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2023 [7]
2022 [12]
2021 [21]
2020 [17]
2019 [18]
2018 [13]
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学科主题
模式识别与智能系统 [3]
Automation... [2]
Computer S... [1]
Engineerin... [1]
Robotics [1]
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浏览/检索结果:
共258条,第1-10条
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专题:自动化研究所
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Involving Distinguished Temporal Graph Convolutional Networks for Skeleton-Based Temporal Action Segmentation
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 647-660
作者:
Li, Yun-Heng
;
Liu, Kai-Yuan
;
Liu, Sheng-Lan
;
Feng, Lin
;
Qiao, Hong
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2024/03/26
Feature extraction
Motion segmentation
Correlation
Convolution
Topology
Convolutional neural networks
Solid modeling
Skeleton-based temporal action segmentation
enhanced spatial graph structure
segmented encoding
Equilibrium-Point Control and Robustness Analysis of Bioinspired Musculoskeletal Robotic System
期刊论文
OAI收割
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 11
作者:
Wu, Yaxiong
;
Yuan, Jianbo
;
Qiao, Hong
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2024/03/27
Bioinspired equilibrium-point control
Lyapunov stability
muscle model
musculoskeletal robotics
robustness
Event-Triggered Sliding-Mode Control for a Discrete-Time Muscle-Driven Musculoskeletal System
期刊论文
OAI收割
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 15
作者:
Fan, Yerui
;
Wu, Yaxiong
;
Yuan, Jianbo
;
Gao, Jie
;
Qiao, Hong
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/03/27
Musculoskeletal system
bio-inspired muscle model
discrete-time system
event-triggered control
sliding mode controller
A Cerebellum-Inspired Prediction and Correction Model for Motion Control of a Musculoskeletal Robot
期刊论文
OAI收割
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1209-1223
作者:
Zhang, Jinhan
;
Chen, Jiahao
;
Wu, Wei
;
Qiao, Hong
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/12/21
Biologically inspired control
cerebellum-inspired model
motion generation
motion learning
musculoskeletal robot
reinforcement learning
Robotic Inserting a Moving Object using Visual-based Control with Time-Delay Compensator
期刊论文
OAI收割
IEEE Transactions on Industrial Informatics, 2023, 页码: 1 - 11
作者:
Jianhua Su
;
Lili Wang
;
Chuankai Liu
;
Hong Qiao
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/06/27
A Novel Biologically Inspired Structural Model for Feature Correspondence
期刊论文
OAI收割
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:
Lu, Yan-Feng
;
Yang, Xu
;
Li, Yi
;
Yu, Qian
;
Liu, Zhi-Yong
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/11/17
Visualization
Biological system modeling
Biology
Brain modeling
Biological information theory
Task analysis
Strain
Appearance feature descriptor
biologically inspired model
feature correspondence
feature representation
graph matching (GM)
graph structure
Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application
期刊论文
OAI收割
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 1-18
作者:
Hong Qiao
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2023/01/18
Brain-inspired intelligent robot
software and hardware
decision making
muscle control
cognitive intelligence
Editorial: Robotic intelligence and automation
期刊论文
OAI收割
ROBOTIC INTELLIGENCE AND AUTOMATION, 2023, 卷号: 43, 期号: 1, 页码: 1-2
作者:
Qiao, Hong
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/11/17
A feedforward compensation approach for cable-driven musculoskeletal systems
期刊论文
OAI收割
ROBOTICA, 2022, 页码: 10
作者:
Fan, Yerui
;
Yuan, Jianbo
;
Wu, Yaxiong
;
Qiao, Hong
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/02/22
biomimetic robots
control of robotic systems
force control
humanoid robots
serial manipulator design and kinematics
Improving performance of robots using human-inspired approaches: a survey
期刊论文
OAI收割
SCIENCE CHINA-INFORMATION SCIENCES, 2022, 卷号: 65, 期号: 12, 页码: 31
作者:
Qiao, Hong
;
Zhong, Shanlin
;
Chen, Ziyu
;
Wang, Hongze
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/03/20
human-inspired intelligent robots
brain-inspired intelligence
decision making
visual cognition
musculoskeletal robots