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Hierarchical Policy Learning With Demonstration Learning for Robotic Multiple Peg-in-Hole Assembly Tasks 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 10, 页码: 10254-10264
作者:  Yan, Shaohua;  Xu, De;  Tao, Xian
Adobe PDF(4845Kb)  |  收藏  |  浏览/下载：99/5  |  提交时间：2023/11/17
Assembly model  demonstration learning (DL)  force-based control algorithm  hierarchical reinforcement learning (HRL)  peg-in-hole assembly  
Online Progressive Instance-Balanced Sampling for Weakly Supervised Vibration Damper Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 14
作者:  Chen, Minghao;  Tian, Yunong;  Li, Zhishuo;  Li, En;  Liang, Zize
Adobe PDF(4445Kb)  |  收藏  |  浏览/下载：102/8  |  提交时间：2023/11/17
Shock absorbers  Vibrations  Object detection  Proposals  Training  Sampling methods  Convolutional neural networks  Instance balance  multiple instance learning (MIL)  progressive sampling  vibration damper detection  weakly supervised object detection (WSOD)  
3D Semantic Segmentation of Aerial Photogrammetry Models Based on Orthographic Projection 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2023, 页码: early-access
作者:  Mengqi Rong;  Shuhan Shen
Adobe PDF(5811Kb)  |  收藏  |  浏览/下载：131/40  |  提交时间：2023/09/25
A Spraying Path Planning Algorithm Based on Point Cloud Segmentation and Trajectory Sequence Optimization 期刊论文
International Journal of Control, Automation, and Systems, 2023, 页码: 16
作者:  Ruxiang Hua;  Hongxuan Ma;  Wei Zou;  Wei Zhang;  Zhuo Wang
Adobe PDF(24596Kb)  |  收藏  |  浏览/下载：196/49  |  提交时间：2023/07/03
Spraying robot  trajectory sequence optimization  optimal spraying trajectory  surface segmentation  point cloud  
A New Diagnosis Method with Few-shot Learning Based on a Class-rebalance Strategy for Scarce Faults in Industrial Processes 期刊论文
Machine Intelligence Research, 2023, 页码: 1-12
作者:  Xu, Xinyao;  Xu, De;  Qin, Fangbo
Adobe PDF(1677Kb)  |  收藏  |  浏览/下载：192/66  |  提交时间：2023/06/21
data augmentation  feature clustering  class-rebalance strategy  few-shot learning  fault diagnosis