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Development of a Whale-Shark-Inspired Gliding Robotic Fish With High Maneuverability 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2020, 卷号: 25, 期号: 6, 页码: 2824-2834
作者:  Dong, Huijie;  Wu, Zhengxing;  Chen, Di;  Tan, Min;  Yu, Junzhi
Adobe PDF(2542Kb)  |  收藏  |  浏览/下载：301/45  |  提交时间：2021/03/02
Buoyancy  Robot kinematics  Shape  Mechatronics  Whales  Robot sensing systems  Biomimetic robot  gliding robotic fish  modeling and control  underwater robotics  
Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 8, 页码: 1846-1855
作者:  Ren, Shixin;  Wang, Weiqun;  Hou, Zeng-Guang;  Liang, Xu;  Wang, Jiaxing;  Shi, Weiguo
Adobe PDF(1893Kb)  |  收藏  |  浏览/下载：273/48  |  提交时间：2020/09/07
Brain computer interface  functional electrical stimulation (FES)  virtual reality  enhanced motor imagery  rehabilitation training  
Hydrodynamic Analysis and Verification of an Innovative Whale Shark-like Underwater Glider 期刊论文
JOURNAL OF BIONIC ENGINEERING, 2020, 卷号: 17, 期号: 1, 页码: 123-133
作者:  Dong, Huijie;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(2649Kb)  |  收藏  |  浏览/下载：342/53  |  提交时间：2020/03/30
biomimetic robot  CFD  hydrodynamic analysis  underwater glider  
Towards Real-Time Advancement of Underwater Visual Quality With GAN 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9350-9359
作者:  Chen, Xingyu;  Yu, Junzhi;  Kong, Shihan;  Wu, Zhengxing;  Fang, Xi;  Wen, Li
浏览  |  Adobe PDF(4984Kb)  |  收藏  |  浏览/下载：416/138  |  提交时间：2019/12/16
Generative adversarial networks (GAN) image restoration  machine learning  underwater vision  
A Novel Model Analysis Method and Dynamic Modelling for Hybrid Structure Flexible Manipulator 会议论文
Proceedings of IEEE International Conference on Mechatronics & Automation, Harbin, 2016.8
作者:  Teng Long;  En Li;  Guodong Yang;  Zize Liang
浏览  |  Adobe PDF(383Kb)  |  收藏  |  浏览/下载：326/132  |  提交时间：2016/10/13
Dynamic Modelling  
Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression 期刊论文
NEURAL PROCESSING LETTERS, 2015, 期号: 3, SI, 页码: 371-388
作者:  Li, Q. L.;  Song, Y.;  Hou, Z. G.;  Z. G. Hou
浏览  |  Adobe PDF(3226Kb)  |  收藏  |  浏览/下载：174/46  |  提交时间：2018/01/05
Semg  Ls-svr  Motion Estimation  Neural Network