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Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning 期刊论文
Frontiers in Neurorobotics, 2021, 卷号: 15, 页码: 658280
作者:  Duan, Haonan;  Wang, Peng;  Huang, Yayu;  Xu, Guangyun;  Wei, Wei;  Shen, Xiaofei
Adobe PDF(3145Kb)  |  收藏  |  浏览/下载：55/19  |  提交时间：2024/05/29
Robotics  Dexterous grasping  Point Cloud  Deep learning  
The Model May Fit You: User-Generalized Cross-Modal Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 24, 页码: 2998-3012
作者:  Ma, Xinhong;  Yang, Xiaoshan;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(6549Kb)  |  收藏  |  浏览/下载：299/60  |  提交时间：2022/06/17
cross-modal retrieval  domain generalization  meta-learning  
Adaptive model-based dynamic event-triggered output feedback control of a robotic manipulator with disturbance 期刊论文
ISATransactions, 2021, 页码: 64-78
作者:  Gao jie;  Kang Erlong;  He Wei;  Qiao hong
Adobe PDF(2719Kb)  |  收藏  |  浏览/下载：310/115  |  提交时间：2022/06/14
SOZIL: Self-Optimal Zero-shot Imitation Learning 期刊论文
IEEE Trans on Cognitive and Developmental System, 2021, 卷号: 15, 期号: 1, 页码: 1
作者:  Peng Hao;  Tao Lu;  Shaowei Cui;  Junhang Wei;  Yinghao Cai;  Shuo Wang
Adobe PDF(13840Kb)  |  收藏  |  浏览/下载：196/40  |  提交时间：2022/04/08
imitation learning  learning from observation  keyframe demonstration  
Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372
作者:  Zezhi Sui;  Zhiqiang Pu;  Jianqiang Yi;  Shiguang Wu
Adobe PDF(5344Kb)  |  收藏  |  浏览/下载：271/89  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Yu, Xinbo;  Li, Bin;  He, Wei;  Feng, Yanghe;  Cheng, Long;  Silvestre, Carlos
收藏  |  浏览/下载：310/0  |  提交时间：2022/02/16
Robots  Robot sensing systems  Task analysis  Force  Impedance  Sensors  Collaboration  Error constraint  human-robot co-transportation  input constraint  neural networks (NNs)  vision and force sensing  
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Chai, Jiajun;  Li, Weifan;  Zhu, Yuanheng;  Zhao, Dongbin;  Ma, Zhe;  Sun, Kewu;  Ding, Jishiyu
Adobe PDF(3402Kb)  |  收藏  |  浏览/下载：297/39  |  提交时间：2022/01/27
Multi-agent systems  Training  Task analysis  Reinforcement learning  Sun  Learning systems  Semantics  Centralized training with decentralized execution (CTDE)  multiagent  reinforcement learning  StarCraft II  
Three-dimensional ATUM-SEM reconstruction and analysis of hepatic endoplasmic reticulum-organelle interactions 期刊论文
JOURNAL OF MOLECULAR CELL BIOLOGY, 2021, 卷号: 13, 期号: 9, 页码: 636-645
作者:  Jiang, Yi;  Li, Linlin;  Chen, Xi;  Liu, Jiazheng;  Yuan, Jingbin;  Xie, Qiwei;  Han, Hua
Adobe PDF(1914Kb)  |  收藏  |  浏览/下载：362/55  |  提交时间：2022/01/27
3D reconstruction  ATUM-SEM  deep learning  liver  ER  MCSs  
Distributed Dynamic Event-Triggered Control for Euler-Lagrange Multiagent Systems With Parametric Uncertainties 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Cao, Ran;  Cheng, Long
Adobe PDF(1843Kb)  |  收藏  |  浏览/下载：317/46  |  提交时间：2022/01/27
Vehicle dynamics  Nonlinear dynamical systems  Symmetric matrices  Laplace equations  Heuristic algorithms  Directed graphs  Robot sensing systems  Consensus  containment  dynamic event-triggered control  Euler-Lagrange system  multiagent systems (MASs)  
Role of Asymptomatic COVID-19 Cases in Viral Transmission: Findings From a Hierarchical Community Contact Network Model 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 10
作者:  Luo, Tianyi;  Cao, Zhidong;  Wang, Yuejiao;  Zeng, Daniel;  Zhang, Qingpeng
Adobe PDF(2265Kb)  |  收藏  |  浏览/下载：324/52  |  提交时间：2022/01/27
COVID-19  Epidemics  Pandemics  Sociology  Market research  Mathematical models  Timing  Risk management  Statistics  Asymptomatic patients  COVID-19  epidemic rebound  strategy evaluation  transmission model