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A Streamlined 3-D Magnetic Particle Imaging System With a Two-Stage Excitation Feed-Through Compensation Strategy 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 1-10
作者:  Yin L(尹琳);  Li W(李玮);  Bian ZW(卞忠伟);  Chen ZW(陈梓威);  Liu YJ(刘晏君);  Zhong J(钟景);  Zhang SX(张水兴);  Du Y(杜洋);  Hui H(惠辉);  Tian J(田捷)
Adobe PDF(3893Kb)  |  收藏  |  浏览/下载：25/8  |  提交时间：2024/03/26
3-D imaging  compensation strategy  magnetic particle imaging (MPI)  
GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载：36/11  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
A Cerebellum-Inspired Prediction and Correction Model for Motion Control of a Musculoskeletal Robot 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1209-1223
作者:  Zhang, Jinhan;  Chen, Jiahao;  Wu, Wei;  Qiao, Hong
收藏  |  浏览/下载：85/0  |  提交时间：2023/12/21
Biologically inspired control  cerebellum-inspired model  motion generation  motion learning  musculoskeletal robot  reinforcement learning  
Dynamic Multiaction Recognition and Expert Movement Mapping for Closed Pelvic Reduction 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 8, 页码: 8667-8678
作者:  Pan, Ming-Zhang;  Deng, Ya-Wen;  Li, Zhen;  Chen, Yuan;  Liao, Xiao-Lan;  Bian, Gui-Bin
收藏  |  浏览/下载：91/0  |  提交时间：2023/11/17
Action recognition  conv-BiLSTM  closed pelvic reduction  dynamic movement primitives  multimodal data fusion  surgeon movement mapping  
Auditory Feature Driven Model Predictive Control for Sound Source Approaching 期刊论文
International Journal of Control, Automation, and Systems, 2023, 卷号: 22, 期号: 2, 页码: 1-14
作者:  Wang, Zhiqing;  Zou, Wei;  Zhang, Wei;  Ma, Hongxuan;  Zhang, Chi;  Guo, Yuxin
Adobe PDF(7966Kb)  |  收藏  |  浏览/下载：169/47  |  提交时间：2023/06/20
Source approaching control, interaural time difference, robotic audition, sound source localization.  
Motion Learning and Rapid Generalization for Musculoskeletal Systems Based on Recurrent Neural Network Modulated by Initial States 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 4, 页码: 1691-1704
作者:  Wang, Xiaona;  Chen, Jiahao;  Qiao, Hong
收藏  |  浏览/下载：80/0  |  提交时间：2023/03/20
Muscles  Recurrent neural networks  Mathematical models  Bio-inspired control  Robot kinematics  Tendons  Musculoskeletal system  Biologically inspired control  motor cortex  movement preparation  musculoskeletal system  recurrent neural network (RNN)  
Asynchronous Intermittent Regulation of Human Arm Movement with Markovian Jumping Parameters 期刊论文
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 卷号: 2022, 页码: 10
作者:  Ma, Chao;  Wu, Wei
收藏  |  浏览/下载：101/0  |  提交时间：2023/03/20
A neural network based framework for variable impedance skills learning from demonstrations 期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2023, 卷号: 160, 页码: 10
作者:  Zhang, Yu;  Cheng, Long;  Cao, Ran;  Li, Houcheng;  Yang, Chenguang
Adobe PDF(3824Kb)  |  收藏  |  浏览/下载：290/55  |  提交时间：2023/02/22
Variable impedance skill  Learning from demonstrations  Skills learning  Human-robot interaction  
A Collision-Free Planning and Control Framework for a Biomimetic Underwater Vehicle in Dynamic Environments 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 卷号: 28, 期号: 3, 页码: 1415 - 1424
作者:  Lv, Jiaqi;  Wang, Yu;  Wang, Shuo;  Bai, Xuejian;  Wang, Rui;  Tan, Min
Adobe PDF(3810Kb)  |  收藏  |  浏览/下载：330/68  |  提交时间：2023/02/22
Arctangent nonsingularity terminal sliding mode (ANTSM) control  biomimetic underwater vehicle (BUV)  collision-free in dynamic environments  fuzzy artificial potential field (FAPF) planning  robots  
AHDet: A dynamic coarse-to-fine gaze strategy for active object detection 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 522-532
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Pan, Chunhong
Adobe PDF(2664Kb)  |  收藏  |  浏览/下载：292/57  |  提交时间：2022/09/19
Object detection  Active object detection  Deep reinforcement learning  Convolutional neural networks