陈学超
作者: Han, Lianqiang1;Chen, Xuechao1;Yu, Zhangguo1;Gao, Zhifa1;Huang, Gao2;Zhang, Jintao1;Hashimoto, Kenji3;Huang, Qiang1; (1 Beijing Inst Technol, Sch Mechatron Engn, Beijing, Peoples R China. ;2 Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China. ;3 Waseda Univ, Humanoid Robot Inst HRI, Dept Mech Engn Informat, Meiji Univ, Kawasaki, Kanagawa, Japan.)
出处: ROBOTICA 2022
关键词: CONTROL DESIGN; OPTIMIZATION
摘要: Biped robots with dynamic motion control have shown strong robustness in complex environments. However, many motion planning methods rely on models, w ...
作者: Han, Lian-Qiang1; Chen, Xue-Chao1, 2; Yu, Zhang-Guo1, 2; Gao, Zhi-Fa1; Huang, Yan1, 2; Huang, Qiang1, 2 (1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing; 100081, China;2Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing; 100081, China)
出处: Zidonghua Xuebao/Acta Automatica Sinica 2022 Vol.Vol.48 No.No.9 P2164-2174
作者: Xu, Haochen1; Yu, Zhangguo1, 2; Chen, Xuechao1, 2; Dong, Chencheng1; Chen, Huanzhong1; Huang, Qiang1, 2 (1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China;2Beijing Advanced Innovation Center for Intelligent Robotics and Systems, Beijing Institute of Technology, Beijing, China)
出处: IET Cyber-systems and Robotics 2022
作者: Zhang, Runming1, 2; Meng, Libo1, 2; Yu, Zhangguo1, 2, 3, 4; Chen, Xuechao1, 2, 3, 4; Liu, Huaxin1, 2; Huang, Qiang1, 2, 3, 4 (1School of Mechatronic Engineering, Beijing Institute of Technology, Beijing; 100081, China;2Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing; 100081, China;3International Joint Research Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing; 100081, China;4State Key Laboratory of Intelligent Control and Decision of Complex System, Beijing; 100081, China)
出处: IEEE/ASME Transactions on Mechatronics 2022 Vol.27 No.6 P5005-5015
作者: Liao, Jingping1, 2; Huang, Gao1, 2; Chen, Xuechao1, 2; Yu, Zhangguo1, 2; Huang, Qiang1, 2 (1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing; 100081, China;2Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing; 100081, China)
出处: Structural and Multidisciplinary Optimization 2021 Vol.64 No.4 P2135-2148
发明人: Qiang Huang;Wu Zhang;Donglin Qiu;Xuechao Chen;Qiang Chen
申请人: Beijing Institute of Technology
申请号: US202017035264
申请日期: 2020.09.28
摘要: The present disclosure provides a motor stator and a motor. The motor stator comprises a core; windings wound on the core; and a three-dimensional fit ...
发明人: Qiang HUANG;Wu ZHANG;Donglin QIU;Xuechao CHEN;Qiang CHEN
申请人: Beijing Institute of Technology
申请号: US202017035264
申请日期: 2020.09.28
摘要: The present disclosure provides a motor stator and a motor. The motor stator comprises a core; windings wound on the core; and a three-dimensional fit ...
发明人: Qiang HUANG;Xuechao CHEN;Zhangguo YU;Tong WU;Mingyue QIN;Qingqing LI;Libo MENG
申请人: BEIJING INSTITUTE OF TECHNOLOGY
申请号: US202016914836
申请日期: 2020.06.29
摘要: The present invention provides a method for monitoring a balanced state of a humanoid robot, comprising: acquiring state data of the robot falling in ...
发明人: HUANG, Qiang;GAO, Junyao;ZHANG, Chunlei;GAO, Jiancheng;YU, Zhangguo;CHEN, Xuechao;FAN, Xuxiao;ZUO, Yuyu
申请人: BEIJING INSTITUTE OF TECHNOLOGY
申请号: CN2020092712
申请日期: 2020.05.27
摘要: The present invention provides a steel belt transmission mechanism and belt wheels thereof. The steel belt transmission mechanism comprises a driving ...
发明人: 廖静平,黄高,黄强,余张国,陈学超
申请人: 北京理工大学
申请号: 202011160140.7
申请日期: 2020.10.27
摘要: 本发明提供了一种基于多种群遗传算法的机械结构拓扑优化方法,可以实现在体积约束条件下最小化结构柔度的拓扑设计。本发明方法的具体步骤如下:一、划分有限元网格,建立拓扑优化问题的优化模型;二、设定多种群遗传算法的操作参数;三、求解拓扑优化模型,绘制拓扑优化结果。本发明可提高寻找拓扑优化全局最优解的概率,获 ...