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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:141/41  |  提交时间:2023/07/04
Digital camouflage  spraying robot  path optimization  parameter setting  coating thickness uniformity  
串联弹性驱动器设计、建模及在机器人上的应用 期刊论文
自动化学报, 2021, 页码: 1467-1483
作者:  孙宁, 程龙
Adobe PDF(1502Kb)  |  收藏  |  浏览/下载:222/69  |  提交时间:2022/08/26
Energy-efficient Collaborative Sensing: Learning the Latent Correlations of Heterogeneous Sensors 期刊论文
ACM TRANSACTIONS ON SENSOR NETWORKS, 2021, 卷号: 17, 期号: 3, 页码: 28
作者:  Liang, Yunji;  Wang, Xin;  Yu, Zhiwen;  Guo, Bin;  Zheng, Xiaolong;  Samtani, Sagar
收藏  |  浏览/下载:168/0  |  提交时间:2022/06/10
Energy efficiency  latent correlation learning  collaboration sensing  internet of things  temporal convolutional network  attention mechanism  multi-task learning  
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:152/23  |  提交时间:2022/04/08
imitation learning  learning from observation  keyframe demonstration  
A survey: which features are required for dynamic visual simultaneous localization and mapping? 期刊论文
Visual Computing for Industry, Biomedicine, and Art, 2021, 期号: 4, 页码: 4-20
作者:  Zenwen Xu;  Zheng Rong;  Yihong Wu
Adobe PDF(1156Kb)  |  收藏  |  浏览/下载:286/132  |  提交时间:2022/04/06
Feature choices  Dynamic simultaneous localization and mapping  Multiple objects tracking  Data association  Object simultaneous localization and mapping  
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:227/75  |  提交时间:2022/04/02
Collision avoidance  deep reinforcement learning (DRL)  formation control  leader–follower  
Hardware-Oriented Algorithm for High-Speed Laser Centerline Extraction Based on Hessian Matrix 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 14
作者:  Li, Zhikai;  Ma, Liping;  Long, Xianlei;  Chen, Yunze;  Deng, Haitao;  Yan, Fengxia;  Gu, Qingyi
Adobe PDF(3764Kb)  |  收藏  |  浏览/下载:273/40  |  提交时间:2022/03/17
Hardware image processing  Hessian matrix  high-speed vision  laser centerline extraction  line-section 3-D reconstruction  
Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载:376/71  |  提交时间:2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
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:241/25  |  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  
Automatic Unsupervised Fabric Defect Detection Based on Self-Feature Comparison 期刊论文
ELECTRONICS, 2021, 卷号: 10, 期号: 21, 页码: 14
作者:  Peng, Zhengrui;  Gong, Xinyi;  Wei, Bengang;  Xu, Xiangyi;  Meng, Shixiong
Adobe PDF(1593Kb)  |  收藏  |  浏览/下载:237/51  |  提交时间:2021/12/28
fabric defect  unsupervised learning  computer vision  deep learning