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NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation 期刊论文
Neural Networks, 2020, 卷号: 126, 页码: 21-35
Authors:  Zeng TP(曾太平);  Tang FZ(唐凤珍);  Ji DX(冀大雄);  Si BL(斯白露)
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Bayesian  Multisensory integration  Attractor dynamics  Head direction cells  Grid cells  Monocular SLAM  
The DIAMOND Model: Deep Recurrent Neural Networks for Self-Organizing Robot Control 期刊论文
Frontiers in Neurorobotics, 2020, 卷号: 14, 页码: 1-7
Authors:  Smith, Simón C.;  Dharmadi, Richard;  Imrie, Calum;  Si BL(斯白露);  Herrmann, J. Michael
View  |  Adobe PDF(1291Kb)  |  Favorite  |  View/Download:12/1  |  Submit date:2020/10/18
deep neural networks  autonomous learning  homeokinesis  self-organizing control  robot control  
基于空间与运动联合编码的认知地图构建方法 专利
专利类型: 发明, 专利号: CN110019582A, 公开日期: 2019-07-16,
Inventors:  斯白露;  曾太平
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一种舞动数据的挖掘方法及系统 专利
专利类型: 发明, 专利号: CN109447309A, 公开日期: 2019-03-08,
Inventors:  张立春;  刘彬;  唐凤珍;  程永锋;  姬昆鹏;  费香泽;  汉京善;  斯白露;  司佳钧;  杨加伦;  展雪萍;  赵彬;  李鹏;  李丹煜
View  |  Adobe PDF(704Kb)  |  Favorite  |  View/Download:46/8  |  Submit date:2019/03/30
一种数据舞动性的展示方法及系统 专利
专利类型: 发明, 专利号: CN109446474A, 公开日期: 2019-03-08,
Inventors:  张立春;  刘彬;  程永锋;  姬昆鹏;  汉京善;  费香泽;  唐凤珍;  斯白露;  司佳钧;  杨加伦;  展雪萍;  赵彬;  李鹏;  李丹煜
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基于贝叶斯多模感知融合的类脑机器人导航方法 专利
专利类型: 发明, 专利号: CN109425340A, 公开日期: 2019-03-05,
Inventors:  斯白露;  曾太平
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一种基于视觉感知和空间认知神经机制的机器人导航方法 专利
专利类型: 发明, 专利号: CN109240279A, 公开日期: 2019-01-18,
Inventors:  斯白露;  赵冬晔
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A sampling-based multi-tree fusion algorithm for frontier detection 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 卷号: 16, 期号: 4, 页码: 1-14
Authors:  Qiao, Wenchuan;  Fang Z(方正);  Si BL(斯白露)
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Exploration  frontier-based  rapidly-exploring random tree  
Mobile Robot Exploration Based on Rapidly-exploring Random Trees and Dynamic Window Approach 会议论文
2019 5th International Conference on Control, Automation and Robotics, ICCAR 2019, Beijing, China, April 19-22, 2019
Authors:  Zeng TP(曾太平);  Si BL(斯白露)
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mobile robots  autonomous exploration  pointclouds  motion planning  rapidly-exploring random tree  dynamicwindow approach  
Learning joint space–time–frequency features for EEG decoding on small labeled data 期刊论文
Neural Networks, 2019, 卷号: 114, 页码: 67-77
Authors:  Zhao DY(赵冬晔);  Tang FZ(唐凤珍);  Si BL(斯白露);  Feng XS(封锡盛)
View  |  Adobe PDF(797Kb)  |  Favorite  |  View/Download:235/58  |  Submit date:2019/04/13
Brain-computer interfaces  Convolutional neural network  Joint space–time–frequency feature learning  Subject-to-subject weight transfer  Small labeled data