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柔性关节机器人高精度自适应反步法控制 期刊论文
信息与控制, 2016, 卷号: 45, 期号: 1, 页码: 1-7
Authors:  王雪竹;  李洪谊;  王越超;  崔龙
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柔性关节机器人反步法自适应控制观测器lu Gre摩擦  
A Novel Robot System Integrating Biological and Mechanical Intelligence Based on Dissociated Neural Network-Controlled Closed-Loop Environment 期刊论文
PLOS ONE, 2016, 卷号: 11, 期号: 11, 页码: 1-21
Authors:  Li YC(李永程);  Sun, Rong;  Wang YC(王越超);  Li HY(李洪谊);  Zheng XF(郑雄飞)
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胶囊机器人在小肠内启动的动力学分析 期刊论文
信息与控制, 2015, 卷号: 44, 期号: 5, 页码: 552-556
Authors:  谭人嘉;  刘浩;  李洪谊;  王越超
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胶囊机器人  动力学  “速度—位移”相平面  粘弹性  
Application of Hierarchical Dissociated Neural Network in Closed-Loop Hybrid System Integrating Biological and Mechanical Intelligence 期刊论文
PLOS ONE, 2015, 卷号: 10, 期号: 5, 页码: 1-15
Authors:  Li YC(李永程);  Sun, Rong;  Zhang, Bin;  Wang YC(王越超);  Li HY(李洪谊)
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Development and Optimization of the Build-in Torque Sensor for Harmonic Drive 会议论文
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, Zhuhai, China, December 6-9, 2015
Authors:  Wang XZ(王雪竹);  Cui L(崔龙);  Li HY(李洪谊);  Wang YC(王越超)
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谐波力矩测量技术分析和优化设计 期刊论文
宇航学报, 2015, 卷号: 36, 期号: 8, 页码: 885-892
Authors:  王雪竹;  崔龙;  李洪谊;  王越超;  李涛;  张涛
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谐波传动  力矩测量技术  动态应变  有限元方法  
基层普适化医疗服务信息系统 专利
专利类型: 发明, 公开日期: 2014-09-24,
Inventors:  王越超;  刘博;  李洪谊;  石刚;  江宏;  赵伟;  于洪洲;  于海
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移动交互式居民电子健康档案系统 专利
专利类型: 发明, 公开日期: 2014-09-24,
Inventors:  王越超;  于海;  李洪谊;  石刚;  江宏;  赵伟;  于洪洲;  刘博
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Adaptive backstepping control of flexible joint robots with friction compensation based on LuGre model 会议论文
26th Chinese Control and Decision Conference, CCDC 2014, Changsha, China, May 31, 2014 - June 2, 2014
Authors:  Wang XZ(王雪竹);  Li HY(李洪谊);  Wang YC(王越超);  Hua JN(化建宁)
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Backstepping  Computer Simulation  Stiction  Tribology  
Single-trial decoding of imagined grip force parameters involving the right or left hand based on movement-related cortical potentials 期刊论文
CHINESE SCIENCE BULLETIN, 2014, 卷号: 59, 期号: 16, 页码: 1907-1916
Authors:  Fu YF(伏云发);  Xu BL(徐保磊);  Li YC(李永程);  Wang YC(王越超);  Yu, Zhengtao;  Li HY(李洪谊)
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Electroencephalogram (Eeg)  Movement-related Cortical Potentials (Mrcp)  Imagined Grip Force Parameters  Single-trial Decoding  Brain–computer Interfaces (Bcis)