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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:216/55  |  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  
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:132/16  |  提交时间:2021/09/03
Deep neural networks  formation control  multiple fish-like robots  pose estimation  pose tracking  
Static Force-Based Modeling and Parameter Estimation for a Deformable Link Composed of Passive Spherical Joints With Preload Forces 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 11, 页码: 1817-1826
作者:  Gaofeng Li;  Dezhen Song;  Lei Sun;  Shan Xu;  Hongpeng Wang;  Jingtai Liu
Adobe PDF(5110Kb)  |  收藏  |  浏览/下载:188/62  |  提交时间:2021/09/03
Deformable link  parameters identification  spherical joint with preload force  static force-based model  
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:163/43  |  提交时间:2021/09/03
3D shape context  depth map  hand shape segmentation  hand gesture recognition  human-computer interaction  
Iterative Learning Disturbance Observer Based Attitude Stabilization of Flexible Spacecraft Subject to Complex Disturbances and Measurement Noises 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1576-1587
作者:  Tongfu He;  Zhong Wu
Adobe PDF(5181Kb)  |  收藏  |  浏览/下载:163/53  |  提交时间:2021/09/03
Disturbance observer  iterative learning  measurement noise  spacecraft attitude control  
Soft Robotics: Morphology and Morphology-inspired Motion Strategy 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1500-1522
作者:  Fan Xu;  Hesheng Wang
Adobe PDF(41738Kb)  |  收藏  |  浏览/下载:193/22  |  提交时间:2021/09/03
Soft continuum manipulator  soft gripper  soft mobile robot  soft robot control method  soft robot modeling method  soft robotics  
Low-cost Position and Force Measurement System for Payload Transport Using UAVs 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 594-604
作者:  Daniel Ceferino Gandolfo;  Claudio D. Rosales;  Lucio R. Salinas;  J. Gimenez;  Ricardo Carelli
Adobe PDF(5932Kb)  |  收藏  |  浏览/下载:162/48  |  提交时间:2021/07/20
Payload transport  unmanned aerial vehicle (UAV)  measurement system  path following controller  low-cost system  
A Review on Cooperative Robotic Arms with Mobile or Drones Bases 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 536-555
作者:  Larona Pitso Ramalepa;  Rodrigo S. Jamisola Jr.
Adobe PDF(1192Kb)  |  收藏  |  浏览/下载:541/357  |  提交时间:2021/07/20
Cooperative arms  mobile manipulator  aerial manipulator  mobile base  drone base  cooperative tasks  
Distributed Asymptotic Consensus in Directed Networks of Nonaffine Systems With Nonvanishing Disturbance 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 6, 页码: 1133-1140
作者:  Qingling Wang;  Changyin Sun
Adobe PDF(1127Kb)  |  收藏  |  浏览/下载:132/42  |  提交时间:2021/06/11
Asymptotic consensus  nonaffine systems  nonvani- shing disturbance  Nussbaum-type functions  unknown control directions  
Skill Learning for Robotic Insertion Based on One-shot Demonstration and Reinforcement Learning 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 457-467
作者:  Ying Li;  De Xu
Adobe PDF(1450Kb)  |  收藏  |  浏览/下载:221/53  |  提交时间:2021/05/24
Force Jacobian matrix  one-shot demonstration  dynamic exploration strategy  insertion skill learning  reinforcement