院系详细页面

[外文期刊] sEMG-Based Hand-Gesture Classification Using a Generative Flow Model. SCIE

作者： Wentao Sun;Huaxin Liu;Rongyu Tang;Yiran Lang;Jiping He;Qiang Huang （Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China. sun_wentao@outook.com. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China. sun_wentao@outook.com. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China. 0077@bit.edu.cn. Beijing Innovation Centre for Intelligent Robots and Systems, Beijing 100081, China. 0077@bit.edu.cn. Beijing Innovation Centre for Intelligent Robots and Systems, Beijing 100081, China. tangrongyu@semi.ac.cn. Beijing Innovation Centre for Intelligent Robots and Systems, Beijing 100081, China. langyiran@sina.com. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China. JIPING.HE@asu.edu. Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China. qhuang@bit.edu.cn. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China. qhuang@bit.edu.cn.）

出处： Sensors (Basel, Switzerland) 2019

关键词： generative flow model;hand-gesture classification;surface electromyography

摘要： Conventional pattern-recognition algorithms for surface electromyography (sEMG)-based hand-gesture classification have difficulties in capturing the c ...

[外文期刊] Design, test and analysis of a threshold-value judging mechanism in silicon-based MEMS safety and arming device

作者： Hengzhen Feng;Wenzhong Lou;Dakui Wang and Fuquan Zheng （National Key Laboratory of Electro-Mechanics Engineering and Control, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China;National Key Laboratory of Electro-Mechanics Engineering and Control, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China;Beijing Institute of Electronic System Engineering, Beijing 100854, People’s Republic of China;National Key Laboratory of Electro-Mechanics Engineering and Control, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China）

出处： Journal of Micromechanics and Microengineering 2019

摘要： A silicon-based micro-electro-mechanical systems (MEMS) safety and arming (S&A) device is presented, which exhibits high precision and reliability and ...

[外文期刊] Multicellular Co-Culture in Three-Dimensional Gelatin Methacryloyl Hydrogels for Liver Tissue Engineering. SCIE

作者： Juan Cui;Huaping Wang;Qing Shi;Tao Sun;Qiang Huang;Toshio Fukuda （Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China. cuijuan2016@bit.edu.cn. Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China. wanghuaping@bit.edu.cn. Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China. shiqing8309@gmail.com. Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China. stnuc@sohu.com. Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China. qhuang@bit.edu.cn. Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China. tofukuda@nifty.com.）

出处： Molecules (Basel, Switzerland) 2019

关键词： 3D assembly;GelMA hydrogel;co-culture;liver tissue engineering

摘要： Three-dimensional (3D) tissue models replicating liver architectures and functions are increasingly being needed for regenerative medicine. However, t ...

[外文期刊] An Improved Two-Dimensional Direction-Of-Arrival Estimation Algorithm for L-Shaped Nested Arrays with Small Sample Sizes. SCIE

作者： Xiaofeng Gao;Xinhong Hao;Ping Li;Guolin Li （Science and Technology on Electromechanical Dynamic Control Laboratory, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China. nmbtgxf@bit.edu.cn. Science and Technology on Electromechanical Dynamic Control Laboratory, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China. haoxinhong@bit.edu.cn. Science and Technology on Electromechanical Dynamic Control Laboratory, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China. liping85@bit.edu.cn. Science and Technology on Electromechanical Dynamic Control Laboratory, School of Mechatronical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China. 7920161015@bit.edu.cn.）

出处： Sensors (Basel, Switzerland) 2019

关键词： 2-D DOA estimation;L-shaped nested arrays;cross-correlation matrix;small numbers of samples

摘要： In this paper, an improved two-dimensional (2-D) direction of arrival (DOA) estimation algorithm for L-shaped nested arrays is proposed. Unlike the ap ...

[外文期刊] Fire Control System Operation Status Assessment Based on Information Fusion: Case Study. SCIE

作者： Yingshun Li;Aina Wang;Xiaojian Yi （Faculty of Electronic and Electrical Engineering, Dalian University of Technology, Dalian 116081, China. leeys@dlut.edu.cn. Faculty of Electronic and Electrical Engineering, Dalian University of Technology, Dalian 116081, China. llldddyyy@mail.dult.edu.cn. The School of Mechatronical Engineering, Beijing Institute of Technology, &Department of Overall Technology, China North Vehicle Research Institute &Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 10071, China. yixiaojian@amss.ac.cn.）

出处： Sensors (Basel, Switzerland) 2019

关键词： DS evidence theory;fire control system;information fusion;rough set theory;status assessment

摘要： In traditional fault diagnosis strategies, massive and disordered data cannot be utilized effectively. Furthermore, just a single parameter is used fo ...

[中文期刊] 非TNT基高固含量熔铸炸药致密成型工艺研究源

作者：彭泓铮，杨丰友，万力伦，冉靖，黄开书，芮久后（重庆红宇精密工业有限责任公司军研二所；北京理工大学机电学院）

出处：兵工自动化 2019

关键词： 2,4-二硝基苯甲醚；熔铸炸药；高固含量；致密成型

摘要：为提高炸药的高能量和安全性能,对非TNT基高固含量熔铸炸药致密成型工艺进行研究。运用ANSYS软件建立熔铸炸药自然冷却温度场,构建装药壳体实体和有限元模型,对装药疵病的产生与防止进行分析。根据'组分体积形状尺寸匹配准则',运用振动、抽真空、保温冷却等工艺措施,实现高固含量熔铸炸药高致密成型。研究结果 ...

[中文期刊] 机器仿生眼的多任务学习人脸分析 CSCD 核源

作者：樊迪，HyunwooKim，陈晓鹏，刘云辉，黄强（北京理工大学机电学院；香港中文大学机械与自动化工程学系）

出处：模式识别与人工智能 2019 第32卷第1期 P10-16

关键词：人脸分析；多任务学习；卷积神经网络；笑容识别；性别分类；机器仿生眼

摘要：智能机器人中人机交互的性能至关重要,人脸分析可以使人机交互变得更友善.文中提出可以同时进行笑容识别和性别分类的多任务学习卷积神经网络,同时学习存在内在相关性的任务,提升单个任务的性能.在Celeb A数据集的测试集上,文中网络在笑容识别任务和性别分类任务中均获取较高准确率.在设计的机器仿生眼上验证文 ...

[中文期刊] 酶解胎盘粉制备羊胎素粉剂量产工艺仿人控制实验研究 CSCD 源

作者：曾令辉，曾建成（北京理工大学机电学院；宁夏大学物电学院）

出处：制造业自动化 2019 第41卷第1期 P99-103

关键词：羊胎素粉剂；仿人智能控制；量产；冻干工艺；试验定标

摘要：羊胎素是从羊胎盘中提取出来的一种具有极高生物活性的营养物质。作为药品、保健品、美容化妆品的添加剂,羊胎素已经越来越多地为许多行业所青睐。其自动化量产工艺的要求日渐突出。宁夏是羊胎素的主产地,目前,其生产规模多为实验室小样机的小规模生产,即使有少量企业级规模的生产设备,其控制方式也是传统的人工控制,生 ...

[外文期刊] Design and Feasibility Study of a Leg-exoskeleton Assistive Wheelchair Robot with Tests on Gluteus Medius Muscles. SCIE EI

作者： Gao Huang;Marco Ceccarelli;Qiang Huang;Weimin Zhang;Zhangguo Yu;Xuechao Chen;Jingeng Mai （Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, 100081, China. huanggao@bit.edu.cn. Intelligent Robot Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China. huanggao@bit.edu.cn. Key Laboratory of Biomimetic Robots and Systems, Beijing Institute of Technology, Ministry of Education, Beijing, 100081, China. huanggao@bit.edu.cn. LARM: Laboratory of Robotics and Mechatronics, University of Cassino and South Latium, Cassino, 03043, Italy. huanggao@bit.edu.cn. Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, 100081, China. ceccarelli@unicas.it. Key Laboratory of Biomimetic Robots and Systems, Beijing Institute of Technology, Ministry of Education, Beijing, 100081, China. ceccarelli@unicas.it. LARM: Laboratory of Robotics and Mechatronics, University of Cassino and South Latium, Cassino, 03043, Italy. ceccarelli@unicas.it. Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, 100081, China. qhuang@bit.edu.cn. Intelligent Robot Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China. qhuang@bit.edu.cn. Key Laboratory of Biomimetic Robots and Systems, Beijing Institute of Technology, Ministry of Education, Beijing, 100081, China. qhuang@bit.edu.cn. Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, 100081, China. zhwm@bit.edu.cn. Intelligent Robot Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China. zhwm@bit.edu.cn. Key Laboratory of Biomimetic Robots and Systems, Beijing Institute of Technology, Ministry of Education, Beijing, 100081, China. zhwm@bit.edu.cn. Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, 100081, China. yuzg@bit.edu.cn. Intelligent Robot Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China. yuzg@bit.edu.cn. Key Laboratory of Biomimetic Robots and Systems, Beijing Institute of Technology, Ministry of Education, Beijing, 100081, China. yuzg@bit.edu.cn. Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, 100081, China. chenxuechao@bit.edu.cn. Intelligent Robot Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 100081, China. chenxuechao@bit.edu.cn. Key Laboratory of Biomimetic Robots and Systems, Beijing Institute of Technology, Ministry of Education, Beijing, 100081, China. chenxuechao@bit.edu.cn. The Robotics Research Group, College of Engineering, Peking University, China. Jingengmai@pku.edu.cn.）

出处： Sensors (Basel, Switzerland) 2019 Vol.19 No.3

关键词： EMG signal;assistive robots;master-slave control;muscle exercises;pedal-actuated wheelchair

摘要： The muscles of the lower limbs directly influence leg motion, therefore, lower limb muscle exercise is important for persons living with lower limb di ...

[外文期刊] Highly Integrated MEMS Magnetic Sensor Based on GMI Effect of Amorphous Wire.

作者： Jiawen Chen;Jianhua Li;Lixin Xu （School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China. 13718925459@163.com. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China. jhli@bit.edu.cn. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China. lxxu@bit.edu.cn.）

出处： Micromachines 2019 Vol.10 No.4

关键词： GMI magnetic sensor;MEMS;amorphous wire;high integrated

摘要： In this paper, a highly integrated amorphous wire Giant magneto-impedance (GMI) magnetic sensor using micro electron mechanical system (MEMS) technolo ...