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动态未知环境下多机器人协调围捕研究 学位论文
, 北京: 中国科学院研究生院, 2018
Authors:  吴志勇
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多机器人系统  围捕  入侵者预测步数优化选取  围捕环境的区域划分  模糊协调围捕  
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
Authors:  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)
View  |  Adobe PDF(651Kb)  |  Favorite  |  View/Download:96/18  |  Submit date:2018/05/09
Multi-robot Hunting  Dynamic Prediction Of Target Motion  Desired Encirclement Points  Optimized Prediction Step  
A laser-based multi-robot collision avoidance approach in unknown environments 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2018, 卷号: 15, 期号: 1
Authors:  Yu, Yingying;  Wu, Zhiyong;  Cao, Zhiqiang;  Pang, Lei;  Ren, Liang;  Zhou, Chao
Favorite  |  View/Download:30/0  |  Submit date:2018/10/10
Laser-based Collision Avoidance  Inter-robot Safety  Multiple Robots  Unknown Environments  
Underwater image matching by incorporating structural constraints 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2017, 卷号: 14, 期号: 6, 页码: 0
Authors:  Yang, Xu;  Liu, Zhi-Yong;  Qiao, Hong;  Song, Yong-Bo;  Ren, Shu-Nan;  Ji, Da-Xiong;  Zheng, Sui-Wu
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Underwater Image  Image Matching  Underwater Robot  Feature Correspondence  
An Optimal Task Allocation Approach for Large-Scale Multiple Robotic Systems with Hierarchical Framework and Resource Constraints 期刊论文
IEEE Systems Journal, 2017, 期号: PP(99), 页码: 1-4
Authors:  Liang Ren;  Yingying Yu;  Zhiqiang Cao;  Zhiyong Wu;  Junzhi Yu;  Chao Zhou;  Min Tan
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Hierarchical Framework  Large-scale Multiple Robotic System  Resource Constraints  Task Allocation  
Online Multi-Modal Distance Metric Learning with Application to Image Retrieval 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 卷号: 28, 期号: 2, 页码: 454-467
Authors:  Wu, Pengcheng;  Hoi, Steven C. H.;  Zhao, Peilin;  Miao, Chunyan;  Liu, Zhi-Yong
Favorite  |  View/Download:53/0  |  Submit date:2016/06/14
Content-based Image Retrieval  Multi-modal Retrieval  Distance Metric Learning  Online Learning  
Human-inspired motion model of upper-limb with fast response and learning ability - a promising direction for robot system and control 期刊论文
ASSEMBLY AUTOMATION, 2016, 卷号: 36, 期号: 1, 页码: 97-107
Authors:  Qiao, Hong;  Li, Chuan;  Yin, Peijie;  Wu, Wei;  Liu, Zhi-Yong
Favorite  |  View/Download:58/0  |  Submit date:2016/10/20
Learning Ability  Dynamic Simulation  Fast Response Ability  High Precision  Muscle-skeleton Simulation