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Toward Coordination Control of Multiple Fish-Like Robots: Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1964-1976
作者:  Tianhao Zhang;  Jiuhong Xiao;  Liang Li;  Chen Wang;  Guangming Xie
Adobe PDF(40902Kb)  |  收藏  |  浏览/下载：129/14  |  提交时间：2021/09/03
Deep neural networks  formation control  multiple fish-like robots  pose estimation  pose tracking  
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1627-1643
作者:  Jun Tang;  Gang Liu;  Qingtao Pan
Adobe PDF(5712Kb)  |  收藏  |  浏览/下载：152/38  |  提交时间：2021/09/03
Ant colony optimization (ACO)  artificial bee colony (ABC)  artificial fish swarm (AFS)  bacterial foraging optimization (BFO)  optimization  particle swarm optimization (PSO)  swarm intelligence  
Vision Based Hand Gesture Recognition Using 3D Shape Context 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1600-1613
作者:  Chen Zhu;  Jianyu Yang;  Zhanpeng Shao;  Chunping Liu
Adobe PDF(20003Kb)  |  收藏  |  浏览/下载：162/42  |  提交时间：2021/09/03
3D shape context  depth map  hand shape segmentation  hand gesture recognition  human-computer interaction  
Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1523-1538
作者:  Samuel Harford;  Fazle Karim;  Houshang Darabi
Adobe PDF(12886Kb)  |  收藏  |  浏览/下载：149/44  |  提交时间：2021/09/03
Adversarial machine learning  deep learning  multivariate time series  perturbation methods  
Human-Swarm-Teaming Transparency and Trust Architecture 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1281-1295
作者:  Adam J. Hepworth;  Daniel P. Baxter;  Aya Hussein;  Kate J. Yaxley;  Essam Debie;  Hussein A. Abbass
Adobe PDF(2092Kb)  |  收藏  |  浏览/下载：295/104  |  提交时间：2021/06/11
Artificial intelligence  explainability  human-swarm teaming (HST)  interpretability  predictability  swarm shepherding  transparency  
Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 718-752
作者:  Othmane Friha;  Mohamed Amine Ferrag;  Lei Shu;  Leandros Maglaras;  Xiaochan Wang
Adobe PDF(46102Kb)  |  收藏  |  浏览/下载：211/29  |  提交时间：2021/04/09
Agricultural internet of things (IoT)  internet of things (IoT)  smart agriculture  smart farming  sustainable agriculture  
Autonomous Control Strategy of a Swarm System Under Attack Based on Projected View and Light Transmittance 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 648-655
作者:  Xuejing Lan;  Wenbiao Xu;  Zhijia Zhao;  Guiyun Liu
Adobe PDF(2918Kb)  |  收藏  |  浏览/下载：210/66  |  提交时间：2021/04/09
Autonomous control  light transmittance  projected view  swarm system  
Visual Object Tracking and Servoing Control of a Nano-Scale Quadrotor: System, Algorithms, and Experiments 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 344-360
作者:  Yuzhen Liu;  Ziyang Meng;  Yao Zou;  Ming Cao
Adobe PDF(121768Kb)  |  收藏  |  浏览/下载：168/6  |  提交时间：2021/04/09
Nano-scale quadrotor  nonlinear control  position-based visual servoing  visual object tracking  
A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 303-318
作者:  Yicun Hua;  Qiqi Liu;  Kuangrong Hao;  Yaochu Jin
Adobe PDF(6590Kb)  |  收藏  |  浏览/下载：162/55  |  提交时间：2021/04/09
Evolutionary algorithm  machine learning  multi-objective optimization problems (MOPs)  irregular Pareto fronts  
An Overview of Calibration Technology of Industrial Robots 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 23-36
作者:  Zhibin Li;  Shuai Li;  Xin Luo
Adobe PDF(35352Kb)  |  收藏  |  浏览/下载：195/50  |  提交时间：2021/04/09
Absolute pose accuracy  identification method  industrial robots  parameter identification  robot calibration technology  robot parameters