CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共9条,第1-9条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Multiagent-Reinforcement-Learning-Based Stable Path Tracking Control for a Bionic Robotic Fish With Reaction Wheel 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 12, 页码: 12670-12679
作者:  Qiu, Changlin;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
Adobe PDF(1587Kb)  |  收藏  |  浏览/下载:190/22  |  提交时间:2023/11/17
Multiagent reinforcement learning (MARL)  path tracking control  reaction wheel  robotic fish  underwater robot  
A Hierarchical LiDAR Odometry via Maximum Likelihood Estimation With Tightly Associated Distributions 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 卷号: 71, 期号: 10, 页码: 10254-10268
作者:  Wang, Chengpeng;  Cao, Zhiqiang;  Li, Jianjie;  Liang, Shuang;  Tan, Min;  Yu, Junzhi
Adobe PDF(4536Kb)  |  收藏  |  浏览/下载:239/15  |  提交时间:2022/12/27
3D LiDAR odometry  fixed-lag smoothing  hierarchical optimization  maximum likelihood estimation  
Category-Level 6D Object Pose Estimation With Structure Encoder and Reasoning Attention 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 10, 页码: 6728-6740
作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo;  Liu, Xilong;  Tan, Min
Adobe PDF(22124Kb)  |  收藏  |  浏览/下载:310/15  |  提交时间:2022/11/14
Shape  Three-dimensional displays  Cognition  Pose estimation  Feature extraction  Decoding  Solid modeling  Category-level  6D object pose estimation  structure encoder  reasoning attention  
Development and control of a bioinspired robotic remora for hitch-hiking 期刊论文
IEEE/ASME Transactions on Mechatronics, 2021, 页码: DOI: 10.1109/TMECH.2021.3119022
作者:  Pengfei Zhang;  Zhengxing Wu;  Yan Meng;  Huijie Dong;  Min Tan;  Junzhi Yu
Adobe PDF(15712Kb)  |  收藏  |  浏览/下载:230/43  |  提交时间:2022/06/27
bioinspired adhesion  depth control  pose control  remora  robotic fish  
Scene Coordinate Regression Network With Global Context-Guided Spatial Feature Transformation for Visual Relocalization 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 3, 页码: 5737-5744
作者:  Guan, Peiyu;  Cao, Zhiqiang;  Yu, Junzhi;  Zhou, Chao;  Tan, Min
Adobe PDF(2399Kb)  |  收藏  |  浏览/下载:365/67  |  提交时间:2021/08/15
Scene coordinate regression network  global context  spatial feature transformation  visual relocalization  
Real-time path planning and following of a gliding robotic dolphin within a hierarchical framework 期刊论文
IEEE Transactions on Vehicular Technology, 2021, 卷号: 70, 期号: 4, 页码: 3243-3255
作者:  Wang, Jian(王健);  Wu, Zhengxing;  Yan, Shuaizheng;  Tan, Min;  Yu, Junzhi
Adobe PDF(3837Kb)  |  收藏  |  浏览/下载:270/58  |  提交时间:2021/06/04
Adaptive backstepping  hierarchical deep q-network  path following  path planning  underwater robot  
Three-Dimensional Helical Path Following of an Underwater Biomimetic Vehicle-Manipulator System 期刊论文
IEEE JOURNAL OF OCEANIC ENGINEERING, 2018, 卷号: 43, 期号: 2, 页码: 391-401
作者:  Wang, Rui;  Wang, Shuo;  Wang, Yu;  Tang, Chong;  Tan, Min
Adobe PDF(2034Kb)  |  收藏  |  浏览/下载:431/92  |  提交时间:2018/10/10
Active Disturbance Rejection Control (Adrc)  Guidance System  3-d Helical Path Following  Underwater Biomimetic Vehicle-manipulator System (Ubvms)  Undulatory Propulsion  
An Inversion-Free Predictive Controller for Piezoelectric Actuators Based on a Dynamic Linearized Neural Network Model 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2016, 卷号: 21, 期号: 1, 页码: 214-226
作者:  Liu, Weichuan;  Cheng, Long;  Hou, ZengGuan;  Yu, Junzhi;  Tan, Min
浏览  |  Adobe PDF(4915Kb)  |  收藏  |  浏览/下载:461/147  |  提交时间:2016/06/14
Dynamic Linearization  Hysteresis  Model Predictive Control (Mpc)  Neural Network Modeling  Piezoelectric Actuators  
Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 卷号: 62, 期号: 12, 页码: 7717-7727
作者:  Cheng, Long;  Liu, Weichuan;  Hou, ZengGuang;  Yu, Junzhi;  Tan, Min
浏览  |  Adobe PDF(1541Kb)  |  收藏  |  浏览/下载:803/294  |  提交时间:2016/01/18
Neuralnetworks  Nonlinearautoregressive-moving-average With Exogenous Inputs (Narmax)  Piezoelectric Actuator (Pea)  Predictive Control