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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：318/49  |  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：232/32  |  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  
A modified YOLOv3 detection method for vision-based water surface garbage capture robot 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 卷号: 17, 期号: 3, 页码: 11
作者:  Li, Xiali;  Tian, Manjun;  Kong, Shihan;  Wu, Licheng;  Yu, Junzhi
收藏  |  浏览/下载：152/0  |  提交时间：2020/08/21
Object detection  aquatic environment  garbage capture robot  modified YOLOv3  detection  
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：359/55  |  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：440/147  |  提交时间：2019/12/16
Generative adversarial networks (GAN) image restoration  machine learning  underwater vision