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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：2/0  |  提交时间：2024/05/29
Robotics  Dexterous grasping  Point Cloud  Deep learning  
A3GAN: An Attribute-Aware Attentive Generative Adversarial Network for Face Aging 期刊论文
IEEE Transactions on Information Forensics and Security, 2021, 卷号: 16, 页码: 2776-2790
作者:  Yunfan Liu;  Qi Li;  Zhenan Sun;  Tieniu Tan
Adobe PDF(4213Kb)  |  收藏  |  浏览/下载：72/15  |  提交时间：2023/06/20
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：257/93  |  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, 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：154/24  |  提交时间：2022/04/08
imitation learning  learning from observation  keyframe demonstration  
Sensor Fusion-Based Approach to Eliminating Moving Objects for SLAM in Dynamic Environments 期刊论文
Sensors, 2021, 期号: 21, 页码: 1-24
作者:  Zheng Rong;  Xiangwei Dang;  Xingdong Liang
Adobe PDF(1080Kb)  |  收藏  |  浏览/下载：202/82  |  提交时间：2022/04/06
SLAM  dynamic environments  LiDAR  mmW-radar  sensor fusion  moving objects  
Aspiration dynamics generate robust predictions in heterogeneous populations 期刊论文
Nature Communications, 2021, 期号: 12, 页码: 3250
作者:  Zhou L(周雷);  Wu B;  Du J;  Wang L
Adobe PDF(939Kb)  |  收藏  |  浏览/下载：153/49  |  提交时间：2022/04/06
Complex networks, game, aspiration, evolutionary dynamics  
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：233/76  |  提交时间：2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
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：247/26  |  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  
Computational Experiments for Complex Social Systems--Part I: The Customization of Computational Model 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 15
作者:  Xue, Xiao;  Chen, Fangyi;  Zhou, Deyu;  Wang, Xiao;  Lu, Min;  Wang, Fei-Yue
收藏  |  浏览/下载：223/0  |  提交时间：2022/01/27
Computational modeling  Complex systems  Analytical models  Tools  Adaptation models  Standards  Solid modeling  Artificial society  computational experiments  computational model  customized design framework  
Bridging the Micro and Macro: Calibration of Agent-Based Model Using Mean-Field Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 99, 期号: 99, 页码: 10
作者:  Ye, Peijun;  Chen, Yuanyuan;  Zhu, Fenghua;  Lv, Yisheng;  Lu, Wanze;  Wang, Fei-Yue
收藏  |  浏览/下载：238/0  |  提交时间：2022/01/27
Calibration  Computational modeling  Mathematical model  Machine learning  Aggregates  Optimization  Bayes methods  Agent-based model (ABM)  calibration  Markovian process