个人资料
姓名：孟庆浩
职称：教授/博士生导师
学科专业：控制科学与工程
电子信箱：qh_meng#tju.edu.cn（#请换成@）
通讯地址：天津大学电气自动化与信息工程学院第26教学楼E区
工作经历
2011~现在：天津大学机器人与自主系统研究所（http://robot.tju.edu.cn）所长
2014~2018：天津大学电气自动化与信息工程学院副院长（分管科研与研究生管理）
2005~现在：天津大学电气自动化与信息工程学院，博士生导师
2004~现在：天津大学电气自动化与信息工程学院，教授
2003~2004：天津大学电气自动化与信息工程学院，副教授
2001~2003：德国Ravensburg-Weingarten应用科学大学自主机器人系统实验室，博士后
2000~2001：德国慕尼黑联邦国防军大学测量科学研究所，博士后
1999~2000：河北工业大学自动化系，副教授
1997~1999：河北工业大学自动化系，讲师
研究领域
(1) 机器人嗅觉：气味/气体检测、识别与追踪
(2) 嗅觉情感计算：嗅觉诱发的情绪识别与调控
(3) 具身智能机器人系统：AI驱动的机器人环境感知、导航与控制
(4) 数字嗅觉：气味存储、编码/解码与展现
主要科研项目
(1) 水下航行器溢油巡航监测优化算法研究，中海油能源发展股份有限公司，2024~2025，负责人。
(2) 基于AI的MEMS惯性元件标定及温补建模技术研究，中国船舶航海保障技术实验室，2024~2025，负责人。
(3) 面向***的电子鼻技术，军委科技委**项目（批准号：***），2022~2024，负责人。
(4) 面向深海区域混合结构探测的多关节潜器研发，国家重点研发计划项目（批准号：2017YFC0306200）：2017~2021，负责人。
(5) 三维时变气流环境下机器人寻踪气味源方法研究，国家自然科学基金项目（批准号：61573253）：2016~2019，负责人。
(6) 突发毒害气体泄漏源快速远程定位及应急防护系统，天津市科技支撑项目（批准号：2007AA04Z219）：2014~2016，负责人。
(7) 室外动态气流环境下多机器人嗅觉极值搜索，高等学校博士学科点专项科研基金项目（批准号：20120032110068）：2012~2015，负责人。
(8) 动态气流环境中机器人主动嗅觉鲁棒寻源方法研究，国家自然科学基金项目（批准号：60875053）：2009~2011，负责人。
(9) 气味寻踪机器人系统关键技术研究，十一五“863项目”（批准号：2007AA04Z219）：2007~2010，负责人。
(10) 机器人主动感知技术，教育部新世纪优秀人才支持计划（批准号：NCET-07-0600）：2007~2010，负责人。
(11) 基于混沌编码的机器人实时导航用无串扰声纳系统研究，国家自然科学基金项目（批准号: 60475028）：2005~2007，负责人。
(12) 移动机器人嗅觉传感器阵列与味源定位策略研究，十五“863”项目“极限环境下面向危险品检测的多感官机器人系统”（编号2006AA04Z221）子课题，2004~2006，负责人。
(13) 移动机器人全局定位与位姿跟踪新方法的研究，教育部留学回国人员科研启动经费：2005~2006，负责人。
(14) 以移动机器人作为实例的基于INTERNET的远程实验，基于实际课题的中德人员互访PPP 项目：2004~2005，负责人。
(15) 海上导航灯器信息检测及通用型控制器研发，天津开发区瑞锋科技有限公司：2004~2005，负责人。
(16) LearNet，德国八所大学合作开发的基于互联网的教学实验开发项目：2001~2003，负责人。
代表性论著、学术著作
学术著作：
(1) 孟庆浩, 李吉功, 张勇, 王阳. 机器人主动嗅觉. 国防工业出版社, 2022.
(2) 孙以材, 刘新福, 孟庆浩. 传感器非线性信号的智能处理与融合. 冶金工业出版社, 2010.
(3) 现代传感技术及应用（负责第六章“移动机器人传感器”）. 化学工业出版社, 2008.
(4) 孙以材, 刘玉岭, 孟庆浩. 压力传感器的设计制造与应用. 冶金工业出版社, 2000.
近五年发表的部分论文：
[1] H. R. Hou, Y. T. Chen, P. F. Qi, Q. H. Meng. An e-nose fingerprint based OC-OCC classification approach for authenticity identification of liquors. IEEE Transactions on Instrumentation and Measurement, 2025, 74, 2500910.
[2] T. S. Song, X. Deng, H. R. Hou, Z. P. Chen, Q. H. Meng. CS-MA-CNN: A fast recognition network of electronic nose for ignitable liquids detection. IEEE Sensors Journal, 2025, 25(2): 3560-3570.
[3] T. Jing, Q. H. Meng, H. R. Hou. SmokeSeger: A Transformer-CNN coupled model for urban scene smoke segmentation. IEEE Transactions on Industrial Informatics, 2024, Vol. 20, No. 2, pp. 1385-1396.
[4] M. Jabeen, Q. H. Meng, H. R. Hou, and H. Y. Li. Odor source localization in outdoor building environments through distributed cooperative control of a fleet of UAVs. Expert Systems with Applications, 2024, 247: 123332.
[5] S. Jin, X. M. Wang, Q. H. Meng. Spatial memory-augmented visual navigation based on hierarchical deep reinforcement learning in unknown environments. Knowledge-Based Systems, 2024, 285: 111358.
[6] Y. X. Wang, Q. H. Meng, Y. K. Li, H. R. Hou. Touch-text answer for human-robot interaction via supervised adversarial learning. Expert Systems with Applications, 2024, 242: 122738.
[7] Z. Y. Zhang, Q. H. Meng, L. C. Jin, et al. A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism. Expert Systems with Applications, 2024, 239: 122356.
[8] H. G. Wang, Q. H. Meng, L. C. Jin, et al. AMGCN-L: an adaptive multi-time-window graph convolutional network with long-short-term memory for depression detection. Journal of Neural Engineering, 2023, 20: 056038.
[9] K. X. Liu, T. S. Song, …Q. H. Meng. Dynamics modeling and typical motion performance analysis for a multi-joint autonomous underwater vehicle. Ocean Engineering, 2023, 281: 114999.
[10] Z. Yan, Q. H. Meng, S. W. Chen, et al. Estimating odor source proximity via two MOS sensors based on deep learning method. Measurement, 2023, 214: 112781.
[11] Y. K. Li, Q. H. Meng, Y. X. Wang, H. R. Hou. MMFN: Emotion recognition by fusing touch gesture and facial expression information. Expert Systems with Applications, 2023, 228: 120469.
[12] T. Jing, M. Zeng, Q. H. Meng. SmokePose: End-to-End Smoke Keypoint Detection. IEEE Transactions on Circuits and Systems for Video Technology, 2023, Vol. 33, No. 10, pp. 5778-5789.
[13] Y. K. Li, Q. H. Meng, Y. X. Wang, T. H. Yang, H. R. Hou. MASS: A multi-source domain adaptation network for cross-subject touch gesture recognition. IEEE Transactions on Industrial Informatics, 2023, 19(3): 3099-3108.
[14] S. Jin, X. Y. Dai, Q. H. Meng. “Focusing on the right regions” - Guided saliency prediction for visual SLAM. Expert Systems with Applications, 2023, 213: 119068.
[15] M. Jabeen, Q. H. Meng, T. Jing, H. R. Hou. Robot odor source localization in indoor environments based on gradient adaptive extremum seeking search. Building and Environment, 2023, 229: 109983.
[16] Z. Yan, Q. H. Meng, T. Jing, S. W. Chen, H. R. Hou. A deep learning-based indoor odor compass. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 2505410.
[17] S. Jin, X. Y. Dai, Q. H. Meng. Loop closure detection with patch-level local features and visual saliency prediction. Engineering Applications of Artificial Intelligence, 2023, 120: 105902.
[18] X. Deng, Q. H. Meng, T. Jing, H. R. Hou. A portable e-nose endowed with subjective evaluation function of air quality in vehicles. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 2507911.
[19] H. R. Hou, Q. H. Meng, L. C. Jin. A double triangular feature-based sensor sequence coding approach for identifying Chinese liquors using an e-nose system. IEEE Sensors Journal, 2022, 22(5): 3878-3887.
[20] Y. K. Li, Q. H. Meng, T. H. Yang, Y. X. Wang, H. R. Hou. Touch gesture and emotion recognition using decomposed spatiotemporal convolutions. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 2500809.
[21] Y. X. Wang, Y. K. Li, …, Q. H. Meng. Multitask touch gesture and emotion recognition using multiscale spatiotemporal convolutions with attention mechanism. IEEE Sensors Journal, 2022, 16(15): 16190-16201.
[22] H. R. Hou, Q. H. Meng, B. Sun. A triangular hashing learning approach for olfactory EEG signal recognition. Applied Soft Computing, 2022, 118: 108471.
[23] X. N. Zhang, Q. H. Meng, M. Zeng. A novel channel selection scheme for olfactory EEG signal classification on Riemannian manifolds. Journal of Neural Engineering, 2022, 19(4): 046006.
[24] S. Jin, Q. H. Meng, X. Y. Dai, H. R. Hou. Safe-Nav: learning to prevent point goal navigation failure in unknown environments. Complex & Intelligent System, 2022, 8: 2273-2290.
[25] H. R. Hou, R. X. Han, X. N. Zhang, and Q. H. Meng. Pleasantness recognition induced by different odor concentrations using olfactory electroencephalogram signals. Sensors, 2022, 22: 8808.
[26] X. Y. Dai, Q. H. Meng, S. Jin, et al. Camera view planning based on generative adversarial imitation learning in indoor active exploration. Applied Soft Computing, 2022, 129: 109621.
[27] K. X. Liu, H. Y. Wang, …, Q. H. Meng. Development and trials of a novel deep-sea multi-joint autonomous underwater vehicle. Ocean Engineering, 2022, 265: 112558.
[28] L. Cheng, Q. H. Meng, A. J. Lilienthal, et al. Development of compact electronic noses: a review. Measurement Science and Technology, 2021, 32: 062002.
[29] H. R. Hou, Q. H. Meng, P. F. Qi, T. Jing. A hand-held electronic nose system for rapid identification of Chinese liquors. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 2006411.
[30] Y. B. Liu, M. Zeng, Q. H. Meng. Unstructured road vanishing point detection using convolutional neural networks and heatmap regression. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 5002708.
[31] J. Y. Wang, Q. H. Meng, X. W. Jin, et al. Design of handheld electronic nose bionic chambers for Chinese liquors recognition. Measurement, 2021, 172: 108856.
[32] Y. K. Li, Q. H. Meng, H. W. Zhang. Touch gesture recognition using spatiotemporal fusion features. IEEE Sensors Journal, 2021, 22(1): 428-437.
[33] H. R. Hou, Q. H. Meng. A double-square-based electrode sequence learning method for odor concentration identification using EEG signals. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 2510110.
[34] X. N. Zhang, Q. H. Meng, M. Zeng, H. R. Hou. Decoding olfactory EEG signals for different odor stimuli identification using wavelet-spatial domain feature. Journal of Neuroscience Methods, 2021, 363: 109355.
[35] X. Y. Dai, Q. H. Meng, S. Jin. Uncertainty-driven active view planning in feature-based monocular vSLAM. Applied Soft Computing, 2021, 108(1): 107459.
[36] T. Jing, Q. H. Meng, H. Ishida. Recent progress and trend of robot odor source localization. IEEJ Transactions on Electrical and Electronic Engineering, 2021, 16(7): 938-953.
[37] L. Yu, Q. H. Meng, and H. W. Zhang. 3-Dimensional modeling and attitude control of multi-joint autonomous underwater vehicles. Journal of Marine Science and Engineering, 2021, 9: 307.
[38] Y. B. Liu, M. Zeng, Q. H. Meng. D-VPnet: A network for real-time dominant vanishing point detection in natural scenes. Neurocomputing, 2020, 417: 432-440.
[39] J. Y. Wang, Q. H. Meng, B. Wu, et al. A novel indoor smell regulation method. AIP Advances, 2020, 10: 105226.
[40] H. R. Hou, X. N. Zhang, Q. H. Meng. Olfactory EEG signal classification using a trapezoid difference based electrode sequence hashing approach. International Journal of Neural Systems, 2020, 30(3): 2050011.
[41] H. R. Hou, X. N. Zhang, Q. H. Meng. Odor-induced emotion recognition based on average frequency band division of EEG signals. Journal of Neuroscience Methods, 2020, 334: 108599.
[42] Y. J. Liu, M. Zeng, Q. H. Meng. Electronic nose using a bio-inspired neural network modeled on mammalian olfactory system for Chinese liquor classification. Review of Scientific Instruments, 2019, 90(2): 025001.
[43] J. Y. Wang, M. Zeng, Q. H. Meng. Latticed mode: A new control strategy for wind field simulation in a multiple-fan wind tunnel. Review of Scientific Instruments, 2019, 90(8): 085104.
[44] J. G. Li, M. L. Cao, Q. H. Meng. Chemical source searching by controlling a wheeled mobile robot to follow an online planned route in outdoor field environments. Sensors, 2019, 19(2): 426.
[45] H. R. Hou, Y. Tong, C. Ren, Q. H. Meng. A gas source declaration scheme based on a tetrahedral sensor structure in three-dimensional airflow environments. Review of Scientific Instruments, 2019, 90(2): 024104.
[46] H. R. Hou, B. Sun, Q. H. Meng. Slow cortical potential signal classification using concave–convex feature. Journal of Neuroscience Methods, 2019, 324: 108303.
近五年获得的授权专利
(1) 一种基于触觉感知的人员身份识别网络构建方法. 中国发明专利, ZL 202110880078.7
(2) 一种结合深度学习的移动机器人门牌定位方法. 中国发明专利, ZL 201910636620.7
(3) 激光SLAM自适应分辨率栅格地图构建方法. 中国发明专利, ZL 2020 1 0132671.9
(4) 基于单目视觉SLAM及深度不确定性分析的云台控制方法. 中国发明专利, ZL 2020 1 0691325.4
(5) 一种基于单目摄像头辅助的机器人定位方法. 中国发明专利, ZL201910994961.1.
(6) 一种基于移动机器人的指针仪表检测与读数识别方法. 中国发明专利, ZL201910866810.8.
(7) 一种便携式电子鼻富集装置温度补偿方法. 中国发明专利, ZL201910760939.0.
(8) 一种多关节潜器的布放回收装置. 中国发明专利, ZL202110790741.4
(9) 一种深海多关节潜器的控制方法. 中国发明专利, ZL201910628071.9
(10) 一种用于深海多关节潜器的两自由度关节. 中国发明专利, ZL201910628038.6
(11) 一种用于深海探测的多关节潜器. 中国发明专利, ZL201910628075.7
(12) 一种基于TDLAS传感器的气体泄漏源搜索方法. 中国发明专利, ZL2018116001199.8.
(13) 一种可用于多电子鼻平台的图像化白酒识别方法. 中国发明专利, ZL201810276780.0.
(14) 一种基于仿生嗅球模型和卷积神经网络的电子鼻识别方法. 中国发明专利, ZL201810228239.2.
主要讲授课程
讲授过的课程
(1) 线性系统理论 (硕士研究生)
(2) 机器人学导论 （本科生）
(3) MCS-51单片微型计算机原理及应用 (本科生)
(4) 控制系统计算机仿真与辅助设计 (本科生)
(5) 移动机器人技术基础 （本科生）
(6) 计算机控制系统（本科生）
在讲课程
(1) 智能机器人系统（博士生）
(2) 自主机器人感知与导航（硕士生）（全英文授课）
(3) 计算机控制理论与应用 （本科生）
社会兼职
中国人工智能学会会员
中国环境科学学会恶臭污染防治专业委员会委员
中国认知科学学会化学感知分会委员
天津市机器人学会理事
天津市电子学会理事
