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CASIA OpenIR
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Position Control of an Underwater Biomimetic Vehicle-Manipulator System via Reinforcement Learning 会议论文
, Liuzhou, China, 20-22 November 2020
作者:  Ma, Ruichen;  Wang, Yu;  Gao, Zisen;  Zhao, Tianzi;  Wang, Rui;  Wang, Shuo;  Zhou, Chao
Adobe PDF(927Kb)  |  收藏  |  浏览/下载：72/31  |  提交时间：2023/08/03
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  
Solving Trajectory Optimization Problems in the Presence of Probabilistic Constraints 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 10, 页码: 4332-4345
作者:  Chai, Runqi;  Savvaris, Al;  Tsourdos, Antonios;  Chai, Senchun;  Xia, Yuanqing;  Wang, Shuo
收藏  |  浏览/下载：183/0  |  提交时间：2021/01/07
Planning  Probabilistic logic  Trajectory optimization  Optimal control  Prediction algorithms  Approximation function  chance-constrained  nonlinear programming  probabilistic constraints  trajectory optimization  
Three-dimensional Target Tracking Control for a Biomimetic Underwater Vehicle 会议论文
无, 上海, 2020-10-1
作者:  Bai G(白舸);  Wang R(王睿);  Wang Y(王宇);  Wang S(王硕)
Adobe PDF(932Kb)  |  收藏  |  浏览/下载：189/53  |  提交时间：2022/07/08
Biomimetic underwater vehicle  active disturbance rejection control  target tracking  distance controller.  
ACDER: Augmented Curiosity-Driven Experience Replay 会议论文
, Paris, France, 2020.05.31-2020.08.31
作者:  Li, Boyao;  Lu, Tao;  Li, Jiayi;  Lu, Ning;  Cai, Yinghao;  Wang, Shuo
浏览  |  Adobe PDF(3303Kb)  |  收藏  |  浏览/下载：246/76  |  提交时间：2020/08/27
Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception 会议论文
, Paris, France, 2022-5-31
作者:  Cui SW(崔少伟);  Wang R(王睿);  Wei JH(魏俊杭);  Li FR(李繁荣);  Wang S(王硕)
Adobe PDF(3334Kb)  |  收藏  |  浏览/下载：148/45  |  提交时间：2022/07/06
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
浏览  |  Adobe PDF(6287Kb)  |  收藏  |  浏览/下载：257/62  |  提交时间：2020/06/02
robot  policy learning  reality gap  simulated environment  deep reinforcement learning  
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  
Real-world Robot Reaching Skill Learning Based on Deep Reinforcement Learning 会议论文
, Hefei, China, 2020
作者:  Liu, Naijun;  Lu, Tao;  Cai, Yinghao;  Wang, Rui;  Wang, Shuo
浏览  |  Adobe PDF(436Kb)  |  收藏  |  浏览/下载：153/50  |  提交时间：2020/09/27
A high-efficiency, information-based exploration path planning method for active simultaneous localization and mapping 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 卷号: 17, 期号: 1, 页码: 14
作者:  Li, Peng;  Yang, Cai-yun;  Wang, Rui;  Wang, Shuo
Adobe PDF(1917Kb)  |  收藏  |  浏览/下载：331/58  |  提交时间：2020/04/07
Active SLAM  exploration  information-based  simultaneous localization and mapping  path planning