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| A Model of Spray Tool and a Parameter Optimization Method for Spraying Path Planning 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 1017-1031
作者: Ruxiang Hua ; Wei Zou; Guodong Chen; Hongxuan Ma; Wei Zhang
 Adobe PDF(3022Kb) |  收藏 | 浏览/下载：124/36 | 提交时间：2023/07/04
Digital camouflage spraying robot path optimization parameter setting coating thickness uniformity |
| An Immersive Virtual Reality System for Rodents in Behavioral and Neural Research 期刊论文
International Journal of Automation and Computing, 2021, 期号: 18(5), 页码: 838-848
作者: Li Liu; Zi-yang Wang; Yu Liu; Chun Xu
Adobe PDF(1271Kb) | 收藏 | 浏览/下载：246/65 | 提交时间：2022/04/07
Virtual space flexible control multi-sensory interactions visual programming context cognition |
| Encoding-decoding Network With Pyramid Self-attention Module for Retinal Vessel Segmentation 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 973-980
作者: Cong-Zhong Wu; Jun Sun; Jing Wang; Liang-Feng Xu; Shu Zhan
Adobe PDF(1416Kb) | 收藏 | 浏览/下载：160/36 | 提交时间：2021/11/26
Retina vessel segmentation deep learning U-Net attention mechanism medical image |
| Mechanical Design and Dynamic Compliance Control of Lightweight Manipulator 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 926-934
作者: Shao-Lin Zhang; Yue-Guang Ge; Hai-Tao Wang; Shuo Wang
Adobe PDF(1817Kb) | 收藏 | 浏览/下载：190/42 | 提交时间：2021/11/26
Lightweight manipulator mechanical design dynamic trajectory planning compliance control robot control |
| Supervised and Semi-supervised Methods for Abdominalm Organ Segmentation: A Review 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 887-914
作者: Isaac Baffour Senkyire; Zhe Liu
Adobe PDF(1308Kb) | 收藏 | 浏览/下载：203/45 | 提交时间：2021/11/26
Abdominal organ, supervised segmentation semi-supervised segmentation evaluation metrics image segmentation machine learning |
| Dynamic Event-triggered Control and Estimation: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886
作者: Xiaohua Ge; Qing-Long Han; Xian-Ming Zhang; Derui Ding
Adobe PDF(3887Kb) | 收藏 | 浏览/下载：186/34 | 提交时间：2021/11/26
Networked systems dynamic event-triggered control dynamic event-triggered estimation dynamic event-triggered mechanisms vehicle active suspension system water distribution and supply system |
| Global FLS-based Consensus of Stochastic Uncertain Nonlinear Multi-agent Systems 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 826-837
作者: Jia-Xi Chen; Jun-Min Li
Adobe PDF(2352Kb) | 收藏 | 浏览/下载：178/40 | 提交时间：2021/09/13
Fuzzy logic systems stochastic nonlinear multi-agent systems (MAS) consensus algorithm adaptive control |
| Robust Observer-based Control of Nonlinear Multi-omnidirectional Wheeled Robot Systems via High Order Sliding-mode Consensus Protocol 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 787-801
作者: M. R. Rahimi Khoygani; R. Ghasemi; P. Ghayoomi
Adobe PDF(3539Kb) | 收藏 | 浏览/下载：154/27 | 提交时间：2021/09/13
Multi-agent system (MAS) nonlinear controller nonlinear observer high-order sliding mode consensus protocol omnidirectional robots |
| Robust Optimal Higher-order-observer-based Dynamic Sliding Mode Control for VTOL Unmanned Aerial Vehicles 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 802-813
作者: Yashar Mousavi; Amin Zarei; Arash Mousavi; Mohsen Biari
Adobe PDF(4822Kb) | 收藏 | 浏览/下载：197/40 | 提交时间：2021/09/13
Unmanned aerial vehicle dynamic sliding mode trajectory tracking fractional firefly algorithm vertical take-off and landing system |
| Behavior-based Autonomous Navigation and Formation Control of Mobile Robots in Unknown Cluttered Dynamic Environments with Dynamic Target Tracking 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 766-786
作者: Nacer Hacene; Boubekeur Mendil
Adobe PDF(6433Kb) | 收藏 | 浏览/下载：169/42 | 提交时间：2021/09/13
Behavior-based autonomous navigation dynamic obstacles and walls dynamic target tracking formation control of multi-robot systems dynamic environment |
