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Path Planning Method With Improved Artificial Potential Field-A Reinforcement Learning Perspective 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 135513-135523
Authors:  Yao QF(么庆丰);  Zheng ZY(郑泽宇);  Qi, Liang;  Yuan, Haitao;  Guo, Xiwang;  Zhao M(赵明);  Liu Z(刘智);  Yang TJ(杨天吉)
Adobe PDF(1998Kb)  |  Favorite  |  View/Download:93/13  |  Submit date:2020/08/22
Path planning  Learning (artificial intelligence)  Gravity  Potential energy  Mobile agents  Real-time systems  Reinforcement learning  neural network  potential field  path planning  
基于改进人工势场法的移动机器人路径规划方法 期刊论文
计算机应用研究, 2020, 卷号: 37, 期号: S2, 页码: 66-68, 72
Authors:  赵明;  郑泽宇;  么庆丰;  潘怡君;  刘智
Adobe PDF(1901Kb)  |  Favorite  |  View/Download:16/0  |  Submit date:2021/01/17
路径规划  人工势场  人工智能  自适应  
Face Attribute Recognition with Multimodal Fusion 会议论文
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering, AUTEEE 2020, Shenyang, China, November 20-22, 2020
Authors:  Zhao M(赵明);  Liu C(刘畅);  Zheng ZY(郑泽宇);  Yao QF(么庆丰);  Yang N(杨楠);  Xu YY(许原野)
Adobe PDF(194Kb)  |  Favorite  |  View/Download:3/0  |  Submit date:2021/02/27
Face attribute recognition  Multimodal fusion  Graph neural network  Multi-task learning