中文版 | English

在结果中检索

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：
Integrated Tracking Control of an Underwater Bionic Robot Based on Multimodal Motions 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 卷号: 54, 期号: 3, 页码: 1599-1610
作者:  Wang, Jian;  Wu, Zhengxing;  Zhang, Yang;  Kong, Shihan;  Tan, Min;  Yu, Junzhi
Adobe PDF(5090Kb)  |  收藏  |  浏览/下载：89/18  |  提交时间：2024/03/27
Disturbance observer (DOB)  fuzzy system  model predictive control (MPC)  tracking control  underwater bionic robot  
Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning 期刊论文
BIOMIMETICS, 2024, 卷号: 9, 期号: 1, 页码: 19
作者:  Wang, Yu;  Wang, Jian;  Kang, Song;  Yu, Junzhi
Adobe PDF(1553Kb)  |  收藏  |  浏览/下载：78/17  |  提交时间：2024/03/26
biomimetic motion  biomimetic autonomous system  target following  deep reinforcement learning  predictive control  
Dual-Type Marker Fusion-Based Underwater Visual Localization for Autonomous Docking 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 11
作者:  Zhao, Chunyang;  Dong, Huijie;  Wang, Jian;  Qiao, Tiezhu;  Yu, Junzhi;  Ren, Jieyu
收藏  |  浏览/下载：47/0  |  提交时间：2024/03/26
Autonomous docking  dual-type marker fusion  underwater robot  visual localization  
Autonomous Recovery Control of Biomimetic Robotic Fish Based on Multi-Sensory System 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 卷号: 9, 期号: 2, 页码: 1420-1427
作者:  Qiu, Changlin;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
Adobe PDF(4262Kb)  |  收藏  |  浏览/下载：69/16  |  提交时间：2024/03/26
Robots  Wires  Tail  Robot sensing systems  Task analysis  Springs  Sensors  Autonomous recovery  motion control  robotic fish  underwater perception  
Robot Navigation Based on Situational Awareness 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 3, 页码: 869-881
作者:  Liu, Xilong;  Cao, Zhiqiang;  Yu, Yingying;  Ren, Guangli;  Yu, Junzhi;  Tan, Min
收藏  |  浏览/下载：270/0  |  提交时间：2022/11/14
Navigation  Robots  Robot sensing systems  Fitting  Sensors  Computational modeling  Three-dimensional displays  Path perception  robot navigation  situational awareness fitting network  
Barrier-Based Adaptive Line-of-Sight 3-D Path-Following System for a Multijoint Robotic Fish With Sideslip Compensation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:  Dai, Shijie;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
Adobe PDF(4440Kb)  |  收藏  |  浏览/下载：395/49  |  提交时间：2022/06/10
Robots  Robot kinematics  Adaptive systems  Navigation  Solid modeling  Force  Complex systems  3-D path-following  adaptive line-of-sight (LOS)  guidance and control  robotic fish  time-varying sideslip angle  
An Underwater Micro Cable-Driven Pan-Tilt Binocular Vision System With Spherical Refraction Calibration 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Qiu, Changlin;  Wu, Zhengxing;  Kong, Shihan;  Yu, Junzhi
Adobe PDF(2362Kb)  |  收藏  |  浏览/下载：201/18  |  提交时间：2021/11/04
Pan-tilt camera  target tracking  underwater measurement  underwater refraction correction  
A Novel Sparse Geometric 3-D LiDAR Odometry Approach 期刊论文
IEEE SYSTEMS JOURNAL, 2021, 卷号: 15, 期号: 1, 页码: 1390-1400
作者:  Liang, Shuang;  Cao, Zhiqiang;  Guan, Peiyu;  Wang, Chengpeng;  Yu, Junzhi;  Wang, Shuo
Adobe PDF(4597Kb)  |  收藏  |  浏览/下载：380/80  |  提交时间：2021/05/06
Laser radar  Feature extraction  Simultaneous localization and mapping  Three-dimensional displays  Computational complexity  Distance measurement  Lighting  Line and plane features  line-to-line and plane-to-plane associations  sparse geometric map  3-D light detection and ranging (LiDAR) odometry  
Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Xingyu;  Yu, Junzhi;  Kong, Shihan;  Wu, Zhengxing;  Wen, Li
浏览  |  Adobe PDF(4122Kb)  |  收藏  |  浏览/下载：258/61  |  提交时间：2020/06/08
Object detection  Neural networks  Computer vision  Deep learning