个人简介

袁培江，副教授，本科就读于清华大学自动化系，2001年-2005年就读于加拿大西安大略大学电子与计算机工程系，获工学博士学位，导师Rajni Patel教授（加拿大两院院士）；2007年-2009年清华大学计算机系，师从张钹院士，2009年加入北航。主持国家自然科学基金面上项目、国家科技重大专项等项目/课题。代表性研究成果以第一作者或通讯作者发表在dvanced Materials、Protein & Cell等高水平期刊上。

基本信息

办公地点：北京航空航天大学沙河校区3号楼806

电子邮件：itr@buaa.edu.cn

教育背景

加拿大西安大略大学 电子与计算机工程系 博士 2000-2005

汕头大学 计算机学院 硕士 1997-2000

清华大学 信息学院 学士 1992-1997

工作经历

北京航空航天大学 机械工程及自动化学院 副教授 2009至今

清华大学 计算机系 博士后 2007-2009

研究方向

1、人形机器人、工业机器人、特种机器人

2、智能控制和机器人大小脑算法

3、多模态人工智能

4、人工智能与具身智能应用

讲授课程

1、机电控制技术 （本科生课程）

2、软件技术基础 （本科生课程）

3、软件技术基础上机 （本科生课程）

4、专业课程设计 （本科生课程）

5、Basis of Software Technique （研究生课程，中/英文）

代表性科研项目

1) 江西省自然科学基金委，重点项目，2026-2028，主持

2) 中航工业重点支撑项目，飞机雷达安装及机身部件装配自动制孔技术研究

3) 国家自然科学基金, 航空制孔机器人关键技术研究

4) 中央基本科研业务，先进机器人移动机构与感知控制理论及技术研究

5) 国家自然科学基金：智能机器人的环境感知和认知决策自学习方法研究

6) 中国商飞重点创新基金，自主移动式轻型自动化制孔系统末端执行器

7) 中国商飞创新基金，基于振动制孔的小型机器人末端执行器开发

8) 北京航空航天大学海外人才基金：智能机器人环境感知理论与方法

9) 教育部留学回国人才基金：大规模互联网语义概念的自动学习的研究

参与了以下项目的研究和开发：

1) 工信部149重大专项，具身机器人操作系统

2) 重大型号任务：飞机装配精益机器人超声制孔技术研究

3) 863项目：机器人模块化核心技术研究

4) 863项目： 助老助残机器人系统 、

5) 863重点项目子课题：高性能仿生生物观测

获奖情况

1、2019年国际大学生类脑计算大赛初赛一等奖/决赛优秀奖（指导老师）。

2、2017年中国轻工业联合会科学技术进步奖一等奖。

3、2016年吴文俊人工智能科学技术进步奖一等奖。

4、2014年吴文俊人工智能科学技术奖三等奖。

5、2014年中国技术市场金桥奖——先进个人。

6、2010年北航机械学院基础研究发展奖。

7、2009年北航机械学院院管理服务优秀奖。

发明专利

1、袁培江，宋博，史震云,等，一种基于人脸识别的模型切换算法，2020，CN202010772437.2

2、袁培江，宋博，史震云,等，一种用于行为分析的检出与异常分析方法，2020，CN202010720171.7

3、袁培江，宋博，史震云,等，可折叠的安防巡逻车，2019，CN201910184174.0

4、袁培江，任鹏远，李建民,等，一种自动跨特征推理式目标检索方法，2019，CN201910715629.7

5、史震云，袁培江，王轶,等，一种基于层次特征点匹配的图像复制移动伪造检测方法，2019，CN201910413287.3

6、袁培江，裴小苗，张文,等，一种门禁机安装容错机构，2019，CN201910414788.3

7、袁培江，郭金马，王轶,等，一种视频通讯的情感分析方法，2019，CN201910715628.2

8、袁培江，史震云，李建民，扭力梁减震底盘，2018，CN201810035984.5

9、袁培江，史震云，李建民，单驱动的机器人底盘，2018，CN201810035192.8

10、袁培江，史震云，李建民，脸部识别方法和装置，2018，CN201810036015.1

11、袁培江，史震云，李建民，对象识别网络的训练方法及系统，2018，CN201811340221.8

12、袁培江，史震云，范斌,等，在视频中添加面部标签的方法及装置，2018，CN201810353791.4

13、袁培江，宋博，朱前成,等，一种带有举升装置的搬运小车，2016，CN201610006100.4

14、袁培江，纪小男，史震云,等，一种带有举升装置和旋转装置的搬运小车，2016，CN201610445701.5

15、袁培江，林敏青，赖婷,等，制孔末端执行器及制孔系统，2015，CN201510583785.4

16、袁培江，陈冬冬，李永,等，一种变量齿轮泵，2013，CN201310505250.6

17、袁培江，王启申，汪承坤,等，一种带有调姿与快换的制孔末端执行器，2013，CN201310301162

18、袁培江，宋博，马福存,等，一种轻负载智能叉车，2013，CN201310471435.X

19、袁培江，王启申，汪承坤,等，一种家庭智能监控防盗系统，2013，CN201310205130

20、袁培江，余蕾斌，公茂震,等，单侧柔性吸附式自动钻孔机器人，2012，CN201210246236

代表性学术论文（*为通讯作者）

[1] Su, Feng, Wang, Yangzhen, Wei, Mengping, Wang, Chong, Wang, Shaoli, Yang, Lei, Li, Jianmin, Yuan, Peijiang, Luo, Dong-Gen, and Zhang, Chen, Noninvasive Tracking of Every Individual in Unmarked Mouse Groups Using Multi-Camera Fusion and Deep Learning, Neuroscience Bulletin 39 no. 6 (2023) 893–910.

[2] Su, Feng, Sun, Yu, Hu, Yajie, Yuan, Peijiang, Wang, Xinyu, Wang, Qian, Li, Jianmin, and Ji, Jia-Fu, Development and validation of a deep learning system for ascites cytopathology interpretation, Gastric cancer 23 no. 6 (2020) 1041–1050.

[3] Wang, Yangzhen, Su, Feng, Wang, Shanshan, Yang, Chaojuan, Tian, Yonglu, Yuan, Peijiang, Liu, Xiaorong, Xiong, Wei, and Zhang, Chen, Efficient implementation of convolutional neural networks in the data processing of two-photon in vivo imaging, Bioinformatics 35 no. 17 (2019) 3208–3210.

[4] Cai, Ying, Yuan, Peijiang, Shi, Zhenyun, Chen, Dongdong, and Cao, Shuangqian, Application of Universal Kriging for Calibrating Offline-Programming Industrial Robots, Journal of Intelligent & Robotic Systems 94 no. 2 (2019) 339–348.

[5] Su, Feng, Cheng, Ye, Chang, Liang, Wang, Leiming, Huang, Gengdi, Yuan, Peijiang, Zhang, Chen, and Ma, Yongjie, Annotation-free glioma grading from pathological images using ensemble deep learning, Heliyon 9 no. 3 (2023) e14654.

[6] Su, Feng, Yuan, Peijiang, Liu, Yuanwei, and Cao, Shuangqian, Network topology optimization by turning non-scale-free networks into scale-free networks using nonlinear preferential rewiring method, International Journal of Distributed Sensor Networks 14 no. 11 (2018).

[7] Cai, Ying, Yuan, Peijiang, Chen, Dongdong, Gao, Doudou, Wu, Xulei, Xue, Lei, and Wang, Tianmiao, A calibration method of industrial robots based on ELM, in 2017 2nd International Conference on Advanced Robotics and Mechatronics (ICARM), IEEE, Hefei, pp. 70–75.

[8] Su, Feng, Yuan, Peijiang, Wang, Yangzhen, and Zhang, Chen, The superior fault tolerance of artificial neural network training with a fault/noise injection- based genetic algorithm, Protein & Cell 7 no. 10 (2016) 735–748.

[9] Zhu, Qiancheng, Li, Jiting, Yuan, Peijiang, Shi, Zhenyun, Lin, Minqing, Chen, Dongdong, and Wang, Tianmiao, Accuracy compensation of a spraying robot based on RBF neural network, in 2016 International Conference on Advanced Robotics and Mechatronics (ICARM), IEEE, Macau, China, pp. 414–419.

[10] Yuanwei Liu, Zhenyun Shi, Yuan, Peijiang, Chen, Dongdong, Minqing Lin, and Zhijun Li, A visual positioning and measurement system for robotic drilling, in 2016 IEEE 14th International Workshop on Advanced Motion Control (AMC), IEEE, Auckland, New Zealand, pp. 461–466.

[11] Yuan, Peijiang, Lai, Ting, Li, Yong, Han, Wei, Lin, Minqing, Zhu, Qiancheng, Liu, Yuanwei, and Shi, Zhenyun, The attitude adjustment algorithm in drilling end-effector for aviation, Advances in Mechanical Engineering 8 no. 1 (2016) 1687814016629348.

[12] Shi, Zhenyun, Yuan, Peijiang, Wang, Qishen, Chen, Dongdong, and Wang, Tianmiao, New design of a compact aero-robotic drilling end effector: An experimental analysis, Chinese Journal of Aeronautics 29 no. 4 (2016) 1132–1141.

[13] Chen, Dongdong, Yuan, Peijiang, Wang, Tianmiao, Shi, Zhenyun, Liu, Yuanwei, and Lin, Minqing, Perpendicularity adjustment end effector for aeronautical drilling robot, in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Daejeon, South Korea, pp. 2616–2621.

[14] Cao, Shuangqian, Yuan, Peijiang, Shi, Zhenyun, Ji, Xiaonan, Gao, Lei, and Wang, Tianmiao, A bilingual teaching method combined with drilling robot for mechatronics course, in 2016 International Conference on Advanced Robotics and Mechatronics (ICARM), IEEE, Macau, China, pp. 467–472.

[15] Yuan, PeiJiang, Su, Feng, Shi, ZhenYun, Wang, TianMiao, and Chen, DongDong, Autonomous path planning solution for industrial robot manipulator using backpropagation algorithm, Advances in Mechanical Engineering 7 no. 12 (2015) 1687814015619768.

[16] Lin, Minqing, Yuan, Peijiang, Tan, Huajian, Liu, Yuanwei, Zhu, Qiancheng, and Li, Yong, Improvements of robot positioning accuracy and drilling perpendicularity for autonomous drilling robot system, in 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), IEEE, Zhuhai, pp. 1483–1488.

[17] Li, Yong, Yuan, Peijiang, Han, Wei, Lai, Ting, Chen, Dongdong, Tan, Huajian, Shi, Zhenyun, and Wang, Tianmiao, A mapping method based on EKF and point-segment matching for indoor environment, in 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA), IEEE, Auckland, New Zealand, pp. 945–950.

[18] Lai, Ting, Li, Jiting, Peijiang, Yuan, Chengkun, Wang, Han, Wei, Li, Yong, Tan, Huajian, Shi, Zhenyun, and Tianmiao, Wang, Study and experiment of attitude adjustment algorithm for robot drilling end-effector, in 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA), IEEE, Auckland, New Zealand, pp. 878–884.

[19] Han, Wei, Yuan, Peijiang, Chen, Dongdong, Li, Yong, Lai, Ting, Lin, MinQing, Shi, Zhenyun, and Wang, Tianmiao, A novel tracking control method based on LADRC for autonomous mobile robot, in 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA), IEEE, Auckland, New Zealand, pp. 501–506.

[20] Yuan, Peijiang, Wang, Qishen, Wang, Tianmiao, Wang, Chengkun, and Song, Bo, Surface normal measurement in the end effector of a drilling robot for aviation, in 2014 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Hong Kong, China, pp. 4481–4486.

[21] Yuan, PeiJiang, Wang, QiShen, Shi, ZhenYun, Wang, TianMiao, Wang, ChengKun, Chen, DongDong, and Shen, LiHeng, A micro-adjusting attitude mechanism for autonomous drilling robot end-effector, Science China Information Sciences 57 no. 12 (2014) 1–12.

[22] Yuan, Peijiang, Chen, Dongdong, Wang, Tianmiao, Ma, Fucun, Ren, Hengfei, Liu, Yuanwei, and Tan, Huanjian, AGV System Based on Multi-sensor Information Fusion, in 2014 International Symposium on Computer, Consumer and Control, IEEE, Taichung, Taiwan, pp. 900–905.

[23] Wang, Chengkun, Yuan, Peijiang, Wang, Tianmiao, Wang, Qishen, Chen, Dongdong, Lai, Ting, and Tan, Huajian, Movement Planning and Simulation for Attitude Adjustment of a Drilling Robot, in 2014 International Symposium on Computer, Consumer and Control, IEEE, Taichung, Taiwan, pp. 920–923.

[24] Lai, Ting, Yuan, Peijiang, Wang, Tianmiao, Wang, Chengkun, Chen, Dongdong, and Li, Yong, An AGV-based teaching approach on experiments of mechatronics course, in 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), IEEE, Bali, Indonesia, pp. 2104–2109.

[25] Chen, Dongdong, Yuan, Peijiang, Wang, Tiammiao, Wang, Qishen, Wang, Chengkun, and Wang, Fengchao, Intelligent surface normal measurement method of end effector for the aeronautical drilling robot, in 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI), IEEE, Beijing, China, pp. 1–6.

[26] Wang, Qishen, Yuan, Peijiang, Wang, Tianmiao, and Gong, Maozhen, A teaching reform method for Mechatronics System Engineering, in 2013 IEEE International Conference on Mechatronics and Automation, IEEE, Takamatsu, Kagawa, Japan, pp. 732–737.

学术与社会服务

ICRA2011、IROS2011大会委员会，副主编，WCICI2010分会主席、IJARS（SCI期刊）编委、863先进制造专家组秘书等。

Profile

Yuan Peijiang

Associate Professor

School of Mechanical Engineering and Automation, Beihang University

Office:Room 806, Building 3, Shahe Campus, Beihang University, Beijing

Email:itr@buaa.edu.cn

Yuan Peijiang is an Associate Professor at the School of Mechanical Engineering and Automation, Beihang University. He obtained his Bachelor of Engineering from the Department of Automation at Tsinghua University in 1997. He subsequently earned his M.S. in Computer Science from Shantou University (1997–2000) and his Ph.D. in Electrical and Computer Engineering from the University of Western Ontario, Canada (2000–2005), under the supervision of Professor Rajni Patel (Fellow of the Royal Society of Canada and the Canadian Academy of Engineering). From 2007 to 2009, he undertook postdoctoral work in the Department of Computer Science at Tsinghua University under Academician Zhang Bo, before joining Beihang University in 2009.

He has served as Principal Investigator on grants from the National Natural Science Foundation of China (NSFC) General Program, the National Science and Technology Major Project, and other national initiatives. Representative publications, as first or corresponding author, have appeared in high-impact journals including Advanced Materials and Protein & Cell.

Education

Professional Experience

Research Interests

1. Humanoid robots, industrial robots, and specialized (extreme-environment) robots.

2. Intelligent control and robot "brain–cerebellum" algorithms.

3. Multimodal artificial intelligence.

4. Embodied AI and applied artificial intelligence.

Courses Taught

1. Mechatronic Control Technology (undergraduate).

2. Fundamentals of Software Technology (undergraduate).

3. Software Technology Laboratory (undergraduate).

4. Professional Curriculum Design (undergraduate).

5. Basis of Software Technique (graduate; offered in Chinese and English).

Selected Research Projects

As Principal Investigator (PI)

1. Key Project, Jiangxi Provincial Natural Science Foundation (2026–2028).

2. AVIC Key Support Project — Research on Automatic Hole-Making Technology for Aircraft Radar Installation and Fuselage Component Assembly.

3. National Natural Science Foundation of China — Key Technologies of Aeronautical Hole-Making Robots.

4. Fundamental Research Funds for Central Universities — Research on the Theory and Technology of Mobile Mechanisms and Perception–Control of Advanced Robots.

5. National Natural Science Foundation of China — Research on Self-Learning Methods for Environmental Perception and Cognitive Decision-Making of Intelligent Robots.

6. COMAC Key Innovation Fund — End Effector of a Self-Moving Lightweight Automated Hole-Making System.

7. COMAC Innovation Fund — Development of a Small-Robot Vibration-Assisted Hole-Making End Effector.

8. Beihang University Overseas Talent Fund — Theory and Methods of Environmental Perception for Intelligent Robots.

9. Ministry of Education Fund for Returned Overseas Scholars — Research on Automatic Learning of Large-Scale Internet Semantic Concepts.

As Participant

1. MIIT Major Special Project No. 149 — Operating System for Embodied Robots.

2. Major Aircraft-Type Mission — Ultrasonic Hole-Making Technology for Lean Robotic Aircraft Assembly.

3. National 863 Program — Research on Modular Core Technologies of Robots.

4. National 863 Program — Service Robot System for the Elderly and Disabled.

5. National 863 Program Key Project (sub-topic) — High-Performance Bionic Biological Observation.

Honors and Awards