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喷水推进式水面机器人H_∞鲁棒航向跟踪控制 期刊论文
控制理论与应用, 2019, 卷号: 36, 期号: 2, 页码: 165-174
Authors:  熊俊峰;  李德才;  何玉庆;  韩建达
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水面机器人  动力学建模  参数辨识  H_∞鲁棒控制  航向跟踪  
Intelligent Human-UAV Interaction System with Joint Cross-Validation over Action-Gesture Recognition and Scene Understanding 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 16, 页码: 1-22
Authors:  Chen B(陈博);  Hua CS(华春生);  Li DC(李德才);  He YQ(何玉庆);  Han JD(韩建达)
View  |  Adobe PDF(8976Kb)  |  Favorite  |  View/Download:45/5  |  Submit date:2019/09/27
action detection  gesture recognition  scene understanding  joint cross validation  
人工智能与“星际争霸”:多智能体博弈研究新进展 期刊论文
无人系统技术, 2019, 期号: 1, 页码: 5-16
Authors:  张宏达;  李德才;  何玉庆
View  |  Adobe PDF(2202Kb)  |  Favorite  |  View/Download:104/12  |  Submit date:2019/04/13
多智能体  实时策略  人工智能  对抗博弈  深度强化学习  
Path Planning of UGV Based on Bézier Curves 期刊论文
Robotica, 2019, 卷号: 37, 期号: 6, 页码: 969-997
Authors:  Hu YM(胡艳明);  Li DC(李德才);  He YQ(何玉庆);  Han JD(韩建达)
View  |  Adobe PDF(3588Kb)  |  Favorite  |  View/Download:163/32  |  Submit date:2019/02/09
Path planning  Bézier curves  Unmanned ground vehicle  Comfortable driving  Speed planning  
基于增量式RBF网络的Q学习算法 期刊论文
机器人, 2019, 卷号: 41, 期号: 5, 页码: 562-573
Authors:  胡艳明;  李德才;  何玉庆;  韩建达
View  |  Adobe PDF(649Kb)  |  Favorite  |  View/Download:69/7  |  Submit date:2019/06/29
核方法  最小二乘算法  增量式学习  移动机器人  Q学习  
A vision-based unmanned aircraft system for autonomous grasp transport 会议论文
2019 International Conference on Unmanned Aircraft Systems, ICUAS 2019, Atlanta, GA, United states, June 11-14, 2019
Authors:  Liu X(刘旭);  He YQ(何玉庆);  Chen B(陈博);  Hou YQ(侯永强);  Bi KY(毕开元);  Li DC(李德才)
View  |  Adobe PDF(890Kb)  |  Favorite  |  View/Download:44/7  |  Submit date:2019/09/21
Incremental Learning Framework for Autonomous Robots based on Q-learning and the Adaptive Kernel Linear Model 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2019
Authors:  Hu YM(胡艳明);  Li DC(李德才);  He YQ(何玉庆);  Han JD(韩建达)
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incremental learning  path planning  Q-learning  autonomous robots  recursive least squares algorithm  L2-norm  
The effect of different types of internal rewards in distributed multi-agent deep reinforcement learning 会议论文
IEEE International Conference on Robotics and Biomimetics, ROBIO 2019, Dali, China, December 6-8, 2019
Authors:  Zhang HD(张宏达);  Li DC(李德才);  He YQ(何玉庆)
Adobe PDF(1047Kb)  |  Favorite  |  View/Download:3/0  |  Submit date:2020/02/23
Internal reward  credit assignment  multiagent  deep reinforcement learning  distributed