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Human-robot object handover: Recent progress and future direction 期刊论文
Biomimetic Intelligence and Robotics, 2024, 卷号: 4, 页码: 100145
作者:  Duan, Haonan;  Yang, Yifan;  Li, Daheng;  Wang, Peng
Adobe PDF(1839Kb)  |  收藏  |  浏览/下载:19/7  |  提交时间:2024/05/29
Human–robot interactions  Object handover  
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:17/5  |  提交时间:2024/05/29
Robotics  Dexterous grasping  Point Cloud  Deep learning  
Learning Human-to-Robot Dexterous Handovers for Anthropomorphic Hand 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1224-1238
作者:  Duan, Haonan;  Wang, Peng;  Li, Yiming;  Li, Daheng;  Wei, Wei
Adobe PDF(10850Kb)  |  收藏  |  浏览/下载:104/5  |  提交时间:2023/12/21
Anthropomorphic hand  handovers  human-robot interaction  
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1659-1666
作者:  Wei, Wei;  Li, Daheng;  Wang, Peng;  Li, Yiming;  Li, Wanyi;  Luo, Yongkang;  Zhong, Jun
Adobe PDF(3717Kb)  |  收藏  |  浏览/下载:249/10  |  提交时间:2022/03/17
Deep learning in grasping and manipulation  multifingered hands  computer vision for automation  point cloud completion  iterative refinement  
DVFENet: Dual-branch voxel feature extraction network for 3D object detection 期刊论文
NEUROCOMPUTING, 2021, 卷号: 459, 页码: 201-211
作者:  He, Yunqian;  Xia, Guihua;  Luo, Yongkang;  Su, Li;  Zhang, Zhi;  Li, Wanyi;  Wang, Peng
收藏  |  浏览/下载:205/0  |  提交时间:2021/12/28
Point cloud  3D object detection  Graph convolutional network  Attention mechanism  Decoupled RPN  
Deep Learning on Point Clouds and Its Application: A Survey 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 19, 页码: 22
作者:  Liu, Weiping;  Sun, Jia;  Li, Wanyi;  Hu, Ting;  Wang, Peng
收藏  |  浏览/下载:240/0  |  提交时间:2020/03/30
feature learning  deep learning  point cloud  application of point cloud