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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：312/46  |  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  
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：256/61  |  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  
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
浏览  |  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