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An Elastic Biomimetic Fish Tail and Its Undulation Fitting Method of Body Wave 会议论文
, Takamatsu, Japan, August 8 - 11, 2021
作者:  Xiaocun Liao;  Yuzhuo Fu;  Ben Lu;  Qianqian Zou;  Zhuoliang Zhang;  Chao Zhou
Adobe PDF(4485Kb)  |  收藏  |  浏览/下载：46/10  |  提交时间：2024/05/28
Elastic biomimetic fish tail  Kinematics model  Control coupling  Undulation fitting method  
A Novel Underwater Image Synthesis Method Based on a Pixel-level Self-Supervised Training Strategy 会议论文
, Xining, China, 2021-7
作者:  Zhiheng Wu;  Zhengxing Wu;  Yue Lu;  Jian Wang;  Junzhi Yu
Adobe PDF(1862Kb)  |  收藏  |  浏览/下载：153/53  |  提交时间：2023/06/29
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：137/46  |  提交时间：2023/06/25
Underwater biomimetic vehicle-manipulator system (UBVMS)  disturbance observer  arctangent non-singularity sliding mode controller (ANTSMC)  mismatched disturbances  
Generative Zero-shot Network Quantization 会议论文
, Virtual Event, 2021-6
作者:  Xiangyu, He;  Jiahao, Lu;  Weixiang, Xu;  Qinghao, Hu;  Peisong, Wang;  Jian, Cheng
Adobe PDF(947Kb)  |  收藏  |  浏览/下载：275/71  |  提交时间：2022/06/29
A Combined Indoor Self-positioning Method for Robotic Fish Based on Multi-sensor Fusion 会议论文
2021 IEEE International Conference on Mechatronics and Automation (ICMA), Takamatsu, Japan, 2021-8-11
作者:  Yuzhuo Fu;  Ben Lu;  Xiaocun Liao;  Qianqian Zou;  Zhuoliang Zhang;  Chao Zhou
Adobe PDF(1987Kb)  |  收藏  |  浏览/下载：252/72  |  提交时间：2022/06/14
multi-sensor fusion, robotic fish, indoor positioning  
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：300/16  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network