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Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework 期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2023, 卷号: 31, 期号: 1, 页码: 18-28
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Lv, Jiaqi;  Su, Hu;  Wang, Yu;  Ma, Hongxuan
Adobe PDF(2970Kb)  |  收藏  |  浏览/下载：55/4  |  提交时间：2024/02/22
Vehicle dynamics  Robots  Propulsion  Predictive models  Biological system modeling  Robustness  Disturbance observers  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：235/29  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
Cross stage partial connections based weighted Bi-directional feature pyramid and enhanced spatial transformation network for robust object detection 期刊论文
NEUROCOMPUTING, 2022, 卷号: 513, 页码: 70-82
作者:  Lu, Yan-Feng;  Yu, Qian;  Gao, Jing-Wen;  Li, Yi;  Zou, Jun-Cheng;  Qiao, Hong
Adobe PDF(3025Kb)  |  收藏  |  浏览/下载：237/4  |  提交时间：2022/11/14
Robust object detection  Structural deformation  Image detection  Spatial transformation  
Real-Time Digital Video Stabilization of Bioinspired Robotic Fish Using Estimation-and-Prediction Framework 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 页码: 12
作者:  Meng, Yan;  Wu, Zhengxing;  Zhang, Pengfei;  Wang, Jian;  Yu, Junzhi
Adobe PDF(3860Kb)  |  收藏  |  浏览/下载：350/66  |  提交时间：2022/06/06
Bioinspired robot  digital video stabilization  estimation-and-prediction framework  robotic fish  vision system  
Learning Accurate and Stable Point-to-Point Motions: A Dynamic System Approach 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1510-1517
作者:  Zhang, Yu;  Cheng, Long;  Li, Houcheng;  Cao, Ran
Adobe PDF(3334Kb)  |  收藏  |  浏览/下载：241/20  |  提交时间：2022/02/16
Point-to-point tasks  neural network  dynamic system  generalization performance  high dimensional data  
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  
Immobilizing Caging Grasps of Convex Polyhedrons With a Four-Pin Gripper 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 4, 页码: 7683-7690
作者:  Su, Jianhua;  Liu, Chuankai;  Meng, Yan
Adobe PDF(2462Kb)  |  收藏  |  浏览/下载：295/46  |  提交时间：2021/11/03
Grasping  Grippers  Pins  Three-dimensional displays  Industries  Shape  Neck  Caging grasps  grasping  in-hand manipulation  industrial robot  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：330/44  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
Automated Silicon-Substrate Ultra-Microtome for Automating the Collection of Brain Sections in Array Tomography 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 389-401
作者:  Cheng, Long;  Liu, Weizhou;  Zhou, Chao;  Zou, Yongxiang;  Hou, Zeng-Guang
Adobe PDF(17687Kb)  |  收藏  |  浏览/下载：287/48  |  提交时间：2021/03/08
Array tomography  automatic collection system  brain sections  microscopic object detection  serial section  
Distractor-aware discrimination learning for online multiple object tracking 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 10
作者:  Zhou, Zongwei;  Luo, Wenhan;  Wang, Qiang;  Xing, Junliang;  Hu, Weiming
Adobe PDF(840Kb)  |  收藏  |  浏览/下载：401/113  |  提交时间：2020/08/31
Multi-object tracking  Distractor-aware discrimination learning  Relational attention learning