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Learn to flap: foil non-parametric path planning via deep reinforcement learning 期刊论文
Journal of Fluid Mechanics, 2024, 卷号: 984, 页码: A9
作者:  Wang, Zhipeng;  Lin, Runji;  Zhao, Zhiyu;  Chen, Xu;  Guo, Pengming;  Yang, Ning;  Wang,Zhicheng;  Fan, Dixia
Adobe PDF(1892Kb)  |  收藏  |  浏览/下载：49/11  |  提交时间：2024/06/07
Fault Diagnosis for Robotic Fish Sensors based on Spatial Domain Image Fusion and Convolution Neural Network 会议论文
, Tianjin, China, 2023-7
作者:  Xuqing Fan;  Sai Deng;  Junfeng Fan;  Chao Zhou;  Zhengxing Wu;  Yaming Ou;  Bin Zhang
Adobe PDF(1492Kb)  |  收藏  |  浏览/下载：34/9  |  提交时间：2024/06/05
Fault Diagnosis  GAF Fusion  CNN  Robotic Fish  
Enhancing efficiency and propulsion in bio-mimetic robotic fish through end-to-end deep reinforcement learning 期刊论文
Physics of Fluids, 2024, 卷号: 36, 期号: 3, 页码: 031910
作者:  Cui,Xinyu;  Sun,Boai;  Zhu,Yi;  Yang,Ning;  Zhang,Haifeng;  Cui,Weicheng;  Fan,Dixia;  Wang,Jun
Adobe PDF(4056Kb)  |  收藏  |  浏览/下载：66/26  |  提交时间：2024/06/02
bio-mimetic robotic fish  deep reinforcement learning  
Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning 期刊论文
BIOMIMETICS, 2024, 卷号: 9, 期号: 1, 页码: 19
作者:  Wang, Yu;  Wang, Jian;  Kang, Song;  Yu, Junzhi
Adobe PDF(1553Kb)  |  收藏  |  浏览/下载：81/18  |  提交时间：2024/03/26
biomimetic motion  biomimetic autonomous system  target following  deep reinforcement learning  predictive control  
CLDRNet: A Difference Refinement Network Based on Category Context Learning for Remote Sensing Image Change Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 2133-2148
作者:  Wan, Ling;  Tian, Ye;  Kang, Wenchao;  Ma, Lei
Adobe PDF(15230Kb)  |  收藏  |  浏览/下载：96/3  |  提交时间：2024/02/20
Feature extraction  Task analysis  Remote sensing  Transformers  Deep learning  Semantics  Support vector machines  Category context learning (CCL)  clustering learning (CL)  difference map refinement (DMR)  optical remote sensing image  change detection (CD)  
SOTVerse: A User-Defined Task Space of Single Object Tracking 期刊论文
International Journal of Computer Vision, 2023, 卷号: 132, 期号: 3, 页码: 1-59
作者:  Shiyu, Hu;  Xin, Zhao;  Kaiqi Huang
Adobe PDF(53048Kb)  |  收藏  |  浏览/下载：85/8  |  提交时间：2024/01/22
Single object tracking  Experimental environment  Evaluation system  Performance analysis  
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：101/37  |  提交时间：2023/06/26
multi-rate fusion  state block  convolution filtering  nanoscale measurement  
Space Squeeze Reasoning and Low-Rank Bilinear Feature Fusion for Surgical Image Segmentation 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 页码: 1
作者:  Zhen-Liang Ni;  Gui-Bin Bian;  Zhen Li;  Xiao-Hu Zhou;  Rui-Qi Li;  Zeng-Guang Hou
Adobe PDF(3263Kb)  |  收藏  |  浏览/下载：374/161  |  提交时间：2022/06/15
Surgical Image Segmentation  Space Squeeze Reasoning  Bilinear Feature Fusion  
A Control Framework for Adaptation of Training Task and Robotic Assistance for Promoting Motor Learning With an Upper Limb Rehabilitation Robot 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 12, 页码: 7737-7747
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang
Adobe PDF(2528Kb)  |  收藏  |  浏览/下载：246/16  |  提交时间：2022/06/10
Robots  Trajectory  Task analysis  Training  Oscillators  Rehabilitation robotics  Real-time systems  Assist as needed (AAN)  motor learning  nonlinear adaptive control  rehabilitation robotics  
Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372
作者:  Zezhi Sui;  Zhiqiang Pu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(5344Kb)  |  收藏  |  浏览/下载：264/85  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower