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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：195/0  |  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  
A Two-Stream CNN With Simultaneous Detection and Segmentation for Robotic Grasping 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 2, 页码: 1167-1181
作者:  Yu, Yingying;  Cao, Zhiqiang;  Liu, Zhicheng;  Geng, Wenjie;  Yu, Junzhi;  Zhang, Weimin
收藏  |  浏览/下载：212/0  |  提交时间：2022/06/06
Grasping  Robot kinematics  Manipulators  Image segmentation  Deconvolution  Machine learning  Global deconvolution network (GDN)  robotic grasping  simultaneous detection and segmentation  two-stream grasping convolutional neural network (CNN)  
A robotic grasping approach with elliptical cone-based potential fields under disturbed scenes 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 1, 页码: 11
作者:  Geng, Wenjie;  Cao, Zhiqiang;  Li, Zhonghui;  Yu, Yingying;  Jing, Fengshui;  Yu, Junzhi
Adobe PDF(15762Kb)  |  收藏  |  浏览/下载：256/20  |  提交时间：2021/03/29
Robotic grasping  elliptical cone  potential field  disturbed scene  
A robotic grasping approach with elliptical cone-based potential fields under disturbed scenes 期刊论文
International Journal of Advanced Robotic Systems, 2021, 卷号: 1, 期号: 18, 页码: 1-11
作者:  Wenjie Geng;  Zhiqiang Cao;  Zhonghui Li;  Yingying Yu;  Fengshui Jing;  Junzhi Yu
Adobe PDF(15762Kb)  |  收藏  |  浏览/下载：67/20  |  提交时间：2023/06/29
Robotic grasping, elliptical cone, potential field, disturbed scene  
A Novel Vision-Based Grasping Method Under Occlusion for Manipulating Robotic System 期刊论文
IEEE SENSORS JOURNAL, 2020, 卷号: 20, 期号: 18, 页码: 10996-11006
作者:  Yu, Yingying;  Cao, Zhiqiang;  Liang, Shuang;  Geng, Wenjie;  Yu, Junzhi
收藏  |  浏览/下载：152/0  |  提交时间：2021/01/07
Manipulating robotic system  vision-based grasping  convolutional neural network  occlusion  image inpainting  
Image Dynamics-Based Visual Servoing for Quadrotors Tracking a Target With a Nonlinear Trajectory Observer 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 1, 页码: 376-384
作者:  Cao, Zhiqiang;  Chen, Xuchao;  Yu, Yingying;  Yu, Junzhi;  Liu, Xilong;  Zhou, Chao;  Tan, Min
收藏  |  浏览/下载：320/0  |  提交时间：2020/03/30
Target tracking  Trajectory  Visual servoing  Transmission line matrix methods  Cameras  Visualization  Vehicle dynamics  Hovering and tracking  image moment  quadrotor  trajectory observer  visual servoing  
A Grasping CNN with Image Segmentation for Mobile Manipulating Robot 会议论文
, Dali, China, 6-8 Dec. 2019
作者:  Yu, Yingying;  Cao, Zhiqiang;  Liang, Shuang;  Liu, Zhicheng;  Yu, Junzhi;  Chen, Xuechao
浏览  |  Adobe PDF(4054Kb)  |  收藏  |  浏览/下载：234/61  |  提交时间：2020/09/12
Object Recognition, Localization and Grasp Detection Using a Unified Deep Convolutional Neural Network with Multi-task Loss 会议论文
IEEE International Conference on Robotics and Biomimetics, 吉隆坡, 2018年12月12~15号
作者:  Qun, Jia;  Zhiqiang, Cao;  Xionglei, Zhao;  Lei, Pang;  Yingying, Yu;  Junzhi, Yu
浏览  |  Adobe PDF(2230Kb)  |  收藏  |  浏览/下载：314/81  |  提交时间：2019/05/05
A Vision-Based Robotic Grasping Approach under the Disturbance of Obstacles 会议论文
, Changchun, China, August 5-8, 2018
作者:  Xionglei, Zhao;  Zhiqiang, Cao;  Qun, Jia;  Lei, Pang;  Yingying, Yu;  Min, Tan
浏览  |  Adobe PDF(2049Kb)  |  收藏  |  浏览/下载：323/103  |  提交时间：2019/05/05
A Multi-Robot Cooperative Hunting Approach Based on Dynamic Prediction of Target Motion 会议论文
EI, The Parisian Macao Macau SAR, China, December 5-8, 2017
作者:  Zhiyong Wu(吴志勇);  Zhiqiang Cao(曹志强);  Yingying Yu(于莹莹);  Lei Pang(庞磊);  Chao Zhou(周超);  Erkui Chen(陈二奎);  Cao ZQ(曹志强)
浏览  |  Adobe PDF(651Kb)  |  收藏  |  浏览/下载：321/88  |  提交时间：2018/05/09
Multi-robot Hunting  Dynamic Prediction Of Target Motion  Desired Encirclement Points  Optimized Prediction Step