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Design of a robot system for reorienting and assembling irregular parts 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2024, 卷号: 21, 期号: 1, 页码: 12
作者:  Su, Jianhua;  Shen, Liancheng;  Peng, Zongyu;  Qu, Xiaoyi
Adobe PDF(1707Kb)  |  收藏  |  浏览/下载：28/2  |  提交时间：2024/05/30
Assembly  object reorientation  force control  
Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework 期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2023, 卷号: 31, 期号: 1, 页码: 18-28
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Lv, Jiaqi;  Su, Hu;  Wang, Yu;  Ma, Hongxuan
Adobe PDF(2970Kb)  |  收藏  |  浏览/下载：63/6  |  提交时间：2024/02/22
Vehicle dynamics  Robots  Propulsion  Predictive models  Biological system modeling  Robustness  Disturbance observers  
DERnet: a deep neural network for end-to-end reconstruction in magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2024, 卷号: 69, 期号: 1, 页码: 15
作者:  Peng, Zhengyao;  Yin, Lin;  Sun, Zewen;  Liang, Qian;  Ma, Xiaopeng;  An, Yu;  Tian, Jie;  Du, Yang
Adobe PDF(1035Kb)  |  收藏  |  浏览/下载：99/5  |  提交时间：2024/02/22
magnetic particle imaging  end-to-end reconstruction  deep learning  image reconstruction  
Delivery of pollen to forsythia flower pistils autonomously and precisely using a robot arm 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 卷号: 214, 页码: 13
作者:  Yang, Minghao;  Lyu, Hongchang;  Zhao, Yongjia;  Sun, Yangchang;  Pan, Hang;  Sun, Qi;  Chen, Jinlong;  Qiang, Baohua;  Yang, Hongbo
Adobe PDF(10694Kb)  |  收藏  |  浏览/下载：147/1  |  提交时间：2023/12/21
Pollination robot  Flower detection  Pistil identification  Convolutional neural network (CNN)  
Multi-Correlation Siamese Transformer Network With Dense Connection for 3D Single Object Tracking 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 12, 页码: 8066-8073
作者:  Feng, Shihao;  Liang, Pengpeng;  Gao, Jin;  Cheng, Erkang
Adobe PDF(2745Kb)  |  收藏  |  浏览/下载：111/3  |  提交时间：2023/12/21
3D object tracking  Point cloud  Transformer  
A learnable EEG channel selection method for MI-BCI using efficient channel attention 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:  Tong, Lina;  Qian, Yihui;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：88/12  |  提交时间：2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism  
Soft Magnetic Skin's Deformation Analysis for Tactile Perception 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 12, 页码: 12883-12893
作者:  Gui, Mei-Jiang;  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Feng, Zhen-Qiu;  Hou, Zeng-Guang
Adobe PDF(2789Kb)  |  收藏  |  浏览/下载：141/1  |  提交时间：2023/11/17
Soft magnetic skins  deformations analy-sis  dynamic Young's modulus (DYM)  finite-element simulation  tactile perception  
sEMG-Based Gesture Recognition Method for Coal Mine Inspection Manipulator Using Multistream CNN 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 10, 页码: 11082-11090
作者:  Tong, Lina;  Zhang, Mingjia;  Ma, Hanghang;  Wang, Chen;  Peng, Liang
Adobe PDF(2841Kb)  |  收藏  |  浏览/下载：111/15  |  提交时间：2023/11/17
Sensors  Muscles  Inspection  Coal mining  Robots  Feature extraction  Gesture recognition  Coal mine inspection manipulator  gestures recognition  multistream convolutional neural network (CNN)  surface electromyography (sEMG)  time--frequency graph feature  
Model Predictive Trajectory Tracking Control of an Underactuated Bionic Underwater Vehicle 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Wang, Yu;  Su, Hu
Adobe PDF(4065Kb)  |  收藏  |  浏览/下载：114/10  |  提交时间：2023/11/16
Bionic underwater vehicle (BUV)  model predictive control (MPC)  trajectory tracking  undulatory propulsion  
Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 卷号: 165, 页码: 11
作者:  Zhang, Jiaxin;  Wei, Zechen;  Wu, Xiangjun;  Shang, Yaxin;  Tian, Jie;  Hui, Hui
Adobe PDF(6341Kb)  |  收藏  |  浏览/下载：173/10  |  提交时间：2023/11/16
Magnetic particle imaging  Deblurring  Unpaired data  Contrastive learning  Adversarial framework