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 [3]
长春光学精密机械与物... [2]
合肥物质科学研究院 [2]
宁波材料技术与工程研... [1]
武汉岩土力学研究所 [1]
采集方式
OAI收割 [9]
内容类型
期刊论文 [6]
会议论文 [2]
学位论文 [1]
发表日期
2022 [3]
2021 [2]
2019 [2]
2012 [1]
2009 [1]
学科主题
Engineerin... [1]
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浏览/检索结果:
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The composite mechanism of damping and elasticity for a fish-like flexible propeller
期刊论文
OAI收割
OCEAN ENGINEERING, 2022, 卷号: 266, 页码: 9
作者:
Wang, Xiaofei
;
Zhou, Chao
;
Wang, Jian
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2023/03/20
Passive flexible joint
Damping joint
Passive propulsion
Dynamics analysis and vibration suppression of a spatial rigid-flexible link manipulator based on transfer matrix method of multibody system
期刊论文
OAI收割
NONLINEAR DYNAMICS, 2022
作者:
Shi, Mingming
;
Rong, Bao
;
Liang, Jing
;
Zhao, Wenlong
;
Pan, Hongtao
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2022/12/23
Spatial rigid-flexible manipulator
Joint trajectory optimization
RBF interpolation
Transfer matrix method
Tail-stiffness optimization for a flexible robotic fish
期刊论文
OAI收割
BIOINSPIRATION & BIOMIMETICS, 2022, 卷号: 17, 期号: 6, 页码: 12
作者:
Zou, Qianqian
;
Zhou, Chao
;
Lu, Ben
;
Liao, Xiaocun
;
Zhang, Zhuoliang
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2022/11/14
robotic fish
stiffness optimization
flexible joint
dynamic modeling
Tracking control for flexible joint robots based on adaptive fuzzy compensation with uncertain parameters
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2021
作者:
Huang, Huayuan
;
Pan, Hongtao
;
Cheng, Yong
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/06/15
adaptive fuzzy compensation
cascaded control
flexible joint robot
tracking control
uncertainty
A Review of Compliant Control for Collaborative Robots
会议论文
OAI收割
AUG 01-04, 2021
作者:
Zhang, Tuopu
;
Du, Qinghao
;
Yang, Guilin
;
Chen, Chin-yin
;
Wang, Chongchong
  |  
收藏
  |  
浏览/下载:120/0
  |  
提交时间:2021/12/02
FLEXIBLE-JOINT ROBOTS
IMPEDANCE CONTROL
FORCE CONTROL
A 3D Discrete-Continuum Coupling Approach for Investigating the Deformation and Failure Mechanism of Tunnels across an Active Fault: A Case Study of Xianglushan Tunnel
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 11, 页码: -
作者:
Ma, Yalina
;
Sheng, Qian
;
Zhang, Guimin
;
Cui, Zhen
  |  
收藏
  |  
浏览/下载:120/0
  |  
提交时间:2020/04/08
tunnel
active fault zone
discrete-continuum coupling method
micromechanics
mechanical response
flexible joint
Neural Network Control of Space Manipulator Based on Dynamic Model and Disturbance Observer
期刊论文
OAI收割
Ieee Access, 2019, 卷号: 7, 页码: 130101-130112
作者:
J.P.He
;
Q.Huo
;
Y.H.Li
;
K.Wang
;
M.C.Zhu
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/08/24
Disturbance observer,dynamic model,neural network control,space,manipulator,vibration suppression,flexible-joint robots,multibody systems,link
工业机器人关节柔性分析与减振控制
学位论文
OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2012
作者:
强艳辉
收藏
  |  
浏览/下载:630/0
  |  
提交时间:2015/09/02
柔性关节工业机器人
关节空间轨迹规划
输入整形
动态面法
Chebyshev神经网络
Flexible Joint Industrial Robot
Trajectory Planning in Joint Space
Input Shaping Technique
Dynamical Surface Control
Chebyshev Neural Network
Joint transform correlator based on joint image feature extraction using swarm intelligence method (EI CONFERENCE)
会议论文
OAI收割
2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009, August 9, 2009 - August 12, 2009, Changchun, China
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2013/03/25
An image feature extraction method based on Swarm Intelligence is used in the preprocessing of joint image in joint transform correlator. The Swarm Intelligence based image processing method is superior to the conventional image processing method in its robust
flexible
fault tolerant
scalable
and highly parallelizable characteristic. The output results from the classical JTC without image preprocessing and the JTC with Sobel operator based joint image feature extraction are compared with that of the JTC when using the Swarm Intelligence to extract the feature of joint image. Experiment results show the performance improvement of JTC using the feature extraction method based on Swarm Intelligence. 2009 IEEE.