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A Fusion Measurement Method for Nano-displacement Based on Kalman Filter and Neural Network 期刊论文
International Journal of Robotics and Automation, 2021, 卷号: 36, 页码: 1-9
作者:  Zhang ZL(张灼亮);  Zhou C(周超);  Du ZM(杜章铭);  Deng L(邓露);  Cao ZQ(曹志强);  Wang S(王硕);  Cheng L(程龙);  Deng S(邓赛)
Adobe PDF(3806Kb)  |  收藏  |  浏览/下载：87/32  |  提交时间：2023/06/26
multi-rate fusion  state block  convolution filtering  nanoscale measurement  
Development and control of a bioinspired robotic remora for hitch-hiking 期刊论文
IEEE/ASME Transactions on Mechatronics, 2021, 页码: DOI: 10.1109/TMECH.2021.3119022
作者:  Pengfei Zhang;  Zhengxing Wu;  Yan Meng;  Huijie Dong;  Min Tan;  Junzhi Yu
Adobe PDF(15712Kb)  |  收藏  |  浏览/下载：203/35  |  提交时间：2022/06/27
bioinspired adhesion  depth control  pose control  remora  robotic fish  
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 期号: 0, 页码: 6013
作者:  Gao, Naiyu;  Shan, Yanhu;  Zhao, Xin;  Huang, Kaiqi
Adobe PDF(3484Kb)  |  收藏  |  浏览/下载：190/44  |  提交时间：2022/06/14
Distributed Dynamic Event-Triggered Control for Euler-Lagrange Multiagent Systems With Parametric Uncertainties 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Cao, Ran;  Cheng, Long
Adobe PDF(1843Kb)  |  收藏  |  浏览/下载：276/38  |  提交时间：2022/01/27
Vehicle dynamics  Nonlinear dynamical systems  Symmetric matrices  Laplace equations  Heuristic algorithms  Directed graphs  Robot sensing systems  Consensus  containment  dynamic event-triggered control  Euler-Lagrange system  multiagent systems (MASs)  
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Wang, Guanan;  Hu, Qinghao;  Yang, Yang;  Cheng, Jian;  Hou, Zeng-Guang
收藏  |  浏览/下载：216/0  |  提交时间：2022/01/27
Data models  Semantics  Force  Computational modeling  Hash functions  Binary codes  Training data  Adversarial learning (AL)  deep learning  hashing  
Design and Control of an Underactuated Finger Exoskeleton for Assisting Activities of Daily Living 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 页码: 11
作者:  Li, Houcheng;  Cheng, Long;  Sun, Ning;  Cao, Ran
Adobe PDF(1769Kb)  |  收藏  |  浏览/下载：253/35  |  提交时间：2022/01/27
Exoskeletons  Grasping  Electronics packaging  Kinematics  Senior citizens  Robots  Shape  Admittance control  assistance  finger exoskeleton  preshaping  shape-adaptive grasping  underactuation  
Hydrodynamics of a Flexible Flipper for an Underwater Vehicle-Manipulator System 期刊论文
IEEE/ASME Transactions on Mechatronics, 2021, 卷号: -, 期号: -, 页码: 1-11
作者:  Bai XJ(白雪剑);  Wang Y(王宇);  Wang R(王睿);  Wang S(王硕);  Tan M(谭民)
Adobe PDF(8510Kb)  |  收藏  |  浏览/下载：199/49  |  提交时间：2022/01/06
Biomimetic robot  flexible flipper  hydrodynamic model  underwater vehicle-manipulator system  
A speed measurement method for underwater robots using an artificial lateral line sensor 期刊论文
Smart Materials and Structures, 2021, 卷号: 31, 期号: 1, 页码: 015011
作者:  Zhang,Zhuoliang;  Zhou,Chao;  Cao,Zhiqiang;  Tan,Min;  Cheng,Long;  Deng,Sai;  Fan,Junfeng
Adobe PDF(1224Kb)  |  收藏  |  浏览/下载：318/36  |  提交时间：2021/12/28
artificial lateral line  speed of underwater robot  hybrid loss function  calibration in noisy environment  flow sensor  
On the Principle and Applications of Conditional Disturbance Negation 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 11, 页码: 6757-6767
作者:  Pu, Zhiqiang;  Sun, Jinlin;  Yi, Jianqiang;  Gao, Zhiqiang
Adobe PDF(1523Kb)  |  收藏  |  浏览/下载：312/48  |  提交时间：2021/12/28
Observers  Couplings  Control design  Uncertainty  System dynamics  Analytical models  Sun  Conditional disturbance negation (CDN)  coupling  disturbance rejection  information-centric control  observer  
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：272/15  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network