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All-Flexible Artificial Reflex Arc Based on Threshold-Switching Memristor 期刊论文
ADVANCED FUNCTIONAL MATERIALS, 2022, 页码: 9
作者:  Wang, Depeng;  Zhao, Shufang;  Li, Linlin;  Wang, Lili;  Cui, Shaowei;  Wang, Shuo;  Lou, Zheng;  Shen, Guozhen
Adobe PDF(1959Kb)  |  收藏  |  浏览/下载：302/53  |  提交时间：2022/06/06
artificial arc  flexible synaptic devices  ionic polymers  threshold switching  unconditioned reflex  
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：308/45  |  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  
Design of a Miniature Underwater Angle-of-Attack Sensor and Its Application to a Self-Propelled Robotic Fish 期刊论文
IEEE JOURNAL OF OCEANIC ENGINEERING, 2020, 卷号: 45, 期号: 4, 页码: 1295-1307
作者:  Yu, Junzhi;  Wang, Tianzhu;  Wu, Zhengxing;  Tan, Min
Adobe PDF(2775Kb)  |  收藏  |  浏览/下载：222/29  |  提交时间：2021/01/07
Robot sensing systems  Real-time systems  Propulsion  Magnetomechanical effects  Magnetic analysis  Sea measurements  Angle of attack (AoA)  angle sensor  measurement  robotic fish  underwater  
Underwater Bioinspired Propulsion: From Inspection to Manipulation 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 卷号: 67, 期号: 9, 页码: 7629-7638
作者:  Wang, Yu;  Wang, Rui;  Wang, Shuo;  Tan, Min;  Yu, Junzhi
浏览  |  Adobe PDF(3768Kb)  |  收藏  |  浏览/下载：339/74  |  提交时间：2020/06/22
Propulsion  Manipulators  Sports  Path planning  Underwater vehicles  Inspection  Bioinspired propulsion  coordinated control  underwater vehicle-manipulator system  underwater manipulation  
Investigating the dynamic memory effect of human drivers via ON-LSTM 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 9, 页码: 11
作者:  Dai, Shengzhe;  Li, Zhiheng;  Li, Li;  Cao, Dongpu;  Dai, Xingyuan;  Lin, Yilun
Adobe PDF(325Kb)  |  收藏  |  浏览/下载：258/46  |  提交时间：2020/12/04
driving behavior  memory effect  trajectory prediction  historical information  ON-LSTM  
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：281/48  |  提交时间：2020/09/07
Brain computer interface  functional electrical stimulation (FES)  virtual reality  enhanced motor imagery  rehabilitation training  
An angle-changeable tracked robot with human-robot interaction in unstructured environments 期刊论文
ASSEMBLY AUTOMATION, 2020, 页码: 11
作者:  Zong, Chengguo;  Ji, Zhijian;  Yu, Junzhi;  Yu, Haisheng
收藏  |  浏览/下载：109/0  |  提交时间：2020/06/02
Human-robot interaction  Tracked robot  Mechanical structure  Unstructured environments  Passively adaptive device  
Gliding Motion Regulation of a Robotic Dolphin Based on a Controllable Fluke 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 卷号: 67, 期号: 4, 页码: 2945-2953
作者:  Wu, Zhengxing;  Yu, Junzhi;  Yuan, Jun;  Tan, Min;  Qi, Suwen
收藏  |  浏览/下载：264/0  |  提交时间：2020/03/30
Gliding robotic dolphin  motion control  pitch control  underwater robotics  
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：349/54  |  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：423/140  |  提交时间：2019/12/16
Generative adversarial networks (GAN) image restoration  machine learning  underwater vision