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CASIA OpenIR
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Water-MBSL: Underwater Movable Binocular Structured Light-Based High-Precision Dense Reconstruction Framework 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 页码: 13
作者:  Ou, Yaming;  Fan, Junfeng;  Zhou, Chao;  Cheng, Long;  Tan, Min
收藏  |  浏览/下载：74/0  |  提交时间：2024/02/21
Motion reconstruction  structured light  underwater 3-D reconstruction  underwater exploration  
Disturbance Observer Based Control for an Underwater Biomimetic Vehicle-Manipulator System with Mismatched Disturbances 会议论文
, Suzhou, China, 2021.5.14-2021.5.16
作者:  Lv, Jiaqi;  Wang, Yu;  Wang, Shuo;  Cheng, Long;  Tan, Min
Adobe PDF(1182Kb)  |  收藏  |  浏览/下载：111/38  |  提交时间：2023/06/25
Underwater biomimetic vehicle-manipulator system (UBVMS)  disturbance observer  arctangent non-singularity sliding mode controller (ANTSMC)  mismatched disturbances  
Development and Motion Control of Biomimetic Underwater Robots: A Survey 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 2, 页码: 833-844
作者:  Wang, Rui;  Wang, Shuo;  Wang, Yu;  Cheng, Long;  Tan, Min
收藏  |  浏览/下载：215/0  |  提交时间：2022/06/06
Unmanned underwater vehicles  Robots  Propulsion  Motion control  Prototypes  Turning  Biomimetic underwater robots  motion control  system development  undulatory propulsion  
Development and Stiffness Optimization for a Flexible-Tail Robotic Fish 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 834-841
作者:  Lu, Ben;  Zhou, Chao;  Wang, Jian;  Fu, Yuzhuo;  Cheng, Long;  Tan, Min
Adobe PDF(2476Kb)  |  收藏  |  浏览/下载：300/4  |  提交时间：2022/01/27
Biomimetics  biologically-inspired robots  mechanism design  
Target Tracking Control of a Biomimetic Underwater Vehicle Through Deep Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Wang, Yu;  Tang, Chong;  Wang, Shuo;  Cheng, Long;  Wang, Rui;  Tan, Min;  Hou, Zengguang
收藏  |  浏览/下载：227/0  |  提交时间：2022/01/27
Reinforcement learning  Target tracking  Robots  Sports  Aerospace electronics  Mobile robots  Underwater vehicles  Biomimetic underwater vehicle (BUV)  reinforcement learning  target tracking control  
Data-Driven Hydrodynamic Modeling for a Flippers-Driven Underwater Vehicle-Manipulator System 会议论文
, Liuzhou, China, 20-22 Nov. 2020
作者:  Wang Y(王宇);  Bai XJ(白雪剑);  Cheng L(程龙);  Wang S(王硕);  Tan M(谭民)
Adobe PDF(6505Kb)  |  收藏  |  浏览/下载：181/41  |  提交时间：2022/01/06
Data driven modeling  underwater vehicle-manipulator system  underwater biomimetic vehicle  hydrodynamic modeling  
A neural network-based model predictive controller for displacement tracking of piezoelectric actuator with feedback delays 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 6, 页码: 11
作者:  Du, Zhangming;  Zhou, Chao;  Cao, Zhiqiang;  Wang, Shuo;  Cheng, Long;  Tan, Min
Adobe PDF(662Kb)  |  收藏  |  浏览/下载：334/66  |  提交时间：2021/12/28
Piezoelectric actuator  neural network  displacement tracking  model predictive control  
A speed measurement method for underwater robots using an artificial lateral line sensor 期刊论文
Smart Materials and Structures, 2021, 卷号: 31, 期号: 1, 页码: 015011
作者:  Zhang,Zhuoliang;  Zhou,Chao;  Cao,Zhiqiang;  Tan,Min;  Cheng,Long;  Deng,Sai;  Fan,Junfeng
Adobe PDF(1224Kb)  |  收藏  |  浏览/下载：319/36  |  提交时间：2021/12/28
artificial lateral line  speed of underwater robot  hybrid loss function  calibration in noisy environment  flow sensor  
Novel sliding-mode disturbance observer-based tracking control with applications to robot manipulators 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 7, 页码: 12
作者:  Sun, Tairen;  Cheng, Long;  Hou, Zengguang;  Tan, Min
收藏  |  浏览/下载：237/0  |  提交时间：2021/08/15
adaptive control  robot manipulator  disturbance observer  sliding mode  
A Rapid Spiking Neural Network Approach With an Application on Hand Gesture Recognition 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 13, 期号: 1, 页码: 151-161
作者:  Cheng, Long;  Liu, Yang;  Hou, Zeng-Guang;  Tan, Min;  Du, Dajun;  Fei, Minrui
收藏  |  浏览/下载：232/0  |  提交时间：2021/04/27
Forward propagation  hand gesture recognition  spiking neural networks (SNNs)  surface electromyography