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Cross-Domain Person Re-Identification Using Heterogeneous Convolutional Network 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 3, 页码: 1160-1171
作者:  Zhang, Zhong;  Wang, Yanan;  Liu, Shuang;  Xiao, Baihua;  Durrani, Tariq S.
收藏  |  浏览/下载：220/0  |  提交时间：2022/06/06
Correlation  Feature extraction  Couplings  Convolution  Training  Cameras  Loss measurement  Cross-domain person re-identification  graph convolution network  dual graph convolution  
3-D Electromagnetic Position Estimation System Using High-Magnetic-Permeability Metal for Continuum Medical Robots 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 2581-2588
作者:  Wang, Heng;  Wang, Shuangyi;  Liu, Hongbin;  Rhode, Kawal;  Hou, Zeng-Guang;  Rajamani, Rajesh
收藏  |  浏览/下载：185/0  |  提交时间：2022/03/17
Electromagnetic tracking  3D position estimation  high-magnetic-permeability metal  continuum medical robot  
Towards Standardized Acquisition With a Dual-Probe Ultrasound Robot for Fetal Imaging 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 2, 页码: 1059-1065
作者:  Housden, James;  Wang, Shuangyi;  Bao, Xianqiang;  Zheng, Jia;  Skelton, Emily;  Matthew, Jacqueline;  Noh, Yohan;  Eltiraifi, Olla;  Singh, Anisha;  Singh, Davinder;  Rhode, Kawal
收藏  |  浏览/下载：177/0  |  提交时间：2021/03/29
Medical robots and systems  motion and path planning  software-hardware integration for robot systems  
Estimation of human impedance and motion intention for constrained human-robot interaction 期刊论文
NEUROCOMPUTING, 2020, 卷号: 390, 页码: 268-279
作者:  Yu, Xinbo;  Li, Yanan;  Zhang, Shuang;  Xue, Chengqian;  Wang, Yu
收藏  |  浏览/下载：182/0  |  提交时间：2020/06/22
Human motion intention estimation  Impedance learning  Adaptive neural network control  Full-state constraints  Barrier Lyapunov functions  
Adaptive neural control of quadruped robots with input deadzone 期刊论文
NEUROCOMPUTING, 2019, 卷号: 329, 页码: 486-494
作者:  Zhang, Shuang;  Zhang, Donghao;  Chang, Cheng;  Fu, Qiang;  Wang, Yu
收藏  |  浏览/下载：255/0  |  提交时间：2019/07/12
Quadruped robot  Neural networks  Input deadzone  Full state feedback  Output feedback