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Compliant peg-in-hole assembly for nonconvex axisymmetric components based on attractive region in environment 期刊论文
Robotica, 2023, 卷号: 41, 期号: 8, 页码: 2314 - 2336
作者:  Liu Y(刘洋);  Chen ZY(陈紫渝);  Qiao H(乔红);  Gan S(甘帅)
Adobe PDF(2042Kb)  |  收藏  |  浏览/下载：21/5  |  提交时间：2024/06/05
automation  motion planning  nonconvex axisymmetric parts  high-precision peg-in-hole assembly  constraint region analysis  attractive region in environment  
A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot 期刊论文
Journal of Systems Science and Complexity, 2024, 卷号: 37, 页码: 82-113
作者:  Jinhan Zhang;  Jiahao Chen;  Shanlin Zhong;  Hong Qiao
Adobe PDF(1513Kb)  |  收藏  |  浏览/下载：25/5  |  提交时间：2024/06/04
TREPH: A Plug-In Topological Layer for Graph Neural Networks 期刊论文
Entropy, 2023, 卷号: 25, 期号: 2, 页码: 331
作者:  Ye, Xue;  Sun, Fang;  Xiang, Shiming
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：129/29  |  提交时间：2023/06/19
graph neural network  graph representation learning  topological data analysis  extended persistent homology  
Unsupervised Anomaly Detection for Surface Defects with Dual-Siamese Network 期刊论文
IEEE Transactions on Industrial Informatics, 2022, 卷号: 1, 期号: 1, 页码: 1-11
作者:  Tao X(陶显);  Da-Peng Zhang;  Ma WZ(马文治);  Hou ZX(侯占新);  Lu ZF(逯正峰);  Chandranath Adak
Adobe PDF(8384Kb)  |  收藏  |  浏览/下载：272/60  |  提交时间：2022/03/03
缺陷检测  
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation 期刊论文
IEEE Trans. Pattern Anal. Machine Intell., 2019, 卷号: 41, 期号: 5, 页码: 1027-1042
作者:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
浏览  |  Adobe PDF(865Kb)  |  收藏  |  浏览/下载：425/142  |  提交时间：2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
Effective automated pipeline for 3D reconstruction of synapses based on deep learning 期刊论文
BMC Bioinformatics, 2018, 卷号: 19, 期号: 1, 页码: 263
作者:  Xiao, Chi;  Li, Weifu;  Deng, Hao;  Chen, Xi;  Yang, Yang;  Xie, QiWei;  Han, Hua
Adobe PDF(7961Kb)  |  收藏  |  浏览/下载：337/103  |  提交时间：2019/05/06
Electron Microscope, Synapse Detection, Deep Learning, Synapse Segmentation, 3d Reconstruction Of Synapses