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CASIA OpenIR
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In-Hand Object Localization Using a Novel High-Resolution Visuotactile Sensor 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 6, 页码: 6015-6025
作者:  Cui, Shaowei;  Wang, Rui;  Hu, Jingyi;  Wei, Junhang;  Wang, Shuo;  Lou, Zheng
Adobe PDF(4222Kb)  |  收藏  |  浏览/下载：272/54  |  提交时间：2022/06/06
In-hand object localization  robotic manipulation  tactile sensor  
Design and Locomotion Control of a Dactylopteridae-Inspired Biomimetic Underwater Vehicle With Hybrid Propulsion 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 13
作者:  Zhang, Tiandong;  Wang, Rui;  Wang, Yu;  Cheng, Long;  Wang, Shuo;  Tan, Min
Adobe PDF(4770Kb)  |  收藏  |  浏览/下载：254/42  |  提交时间：2022/01/27
Propulsion  DC motors  Robots  Control systems  Servomotors  Underwater vehicles  Sports  Biomimetic underwater vehicle (BUV)  body andor caudal fin (BCF)  median and or paired fin (MPF) hybrid propulsion  central pattern generators (CPGs)  fuzzy proportion integral differential (PID)  
Manipulation Skill Learning on Multi-step Complex Task Based on Explicit and Implicit Curriculum Learning 期刊论文
SCIENCE CHINA Information Sciences, 2020, 卷号: 0, 期号: 0, 页码: 0-0
作者:  Liu, Naijun;  Lu, Tao;  Cai, Yinghao;  Wang, Rui;  Wang, Shuo
浏览  |  Adobe PDF(2456Kb)  |  收藏  |  浏览/下载：169/70  |  提交时间：2020/09/27
robot  manipulation skill learning  multi-step complex task  curriculum learning  
Self-Attention Based Visual-Tactile Fusion Learning for Predicting Grasp Outcomes 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 卷号: 5, 期号: 4, 页码: 5827-5834
作者:  Cui, Shaowei;  Wang, Rui;  Wei, Junhang;  Hu, Jingyi;  Wang, Shuo
Adobe PDF(1535Kb)  |  收藏  |  浏览/下载：313/47  |  提交时间：2020/08/31
Grasping  perception for grasping and manipulation  multi-modal perception  force and tactile sensing  
Real-Sim-Real Transfer for Real-World Robot Control Policy Learning with Deep Reinforcement Learning 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 5, 页码: 16
作者:  Liu, Naijun;  Cai, Yinghao;  Lu, Tao;  Wang, Rui;  Wang, Shuo
Adobe PDF(6287Kb)  |  收藏  |  浏览/下载：256/61  |  提交时间：2020/06/02
robot  policy learning  reality gap  simulated environment  deep reinforcement learning