马晓光 教授，博士生导师
Email:maxg@mail.neu.edu.cn
Ph.D.机械控制博士, 加州大学伯克利分校
M.E. 固体力学硕士, 北航
B.E.飞行器设计学士, 北航
多家等跨国公司担任高级研发管理职务。曾任东南大学土木工程学院教授，现为东北大学信息学院，机器人学院佛山研究生院教授，博士生导师。长期从事具身智能（机器人），（工业）多模态大模型，无人系统，智能感知等领域研究
国家海外高层次人才入选者
北京大学(兼职)教授，上海交通大学(兼职)研究员
科技部863重大专项专家组成员
CCF智能机器人分会常委
广东人工智能学会与机器人学会理事，具身智能机器人专委会主任（筹）
中国人工智能学会人机融合分会常委
中国人工智能学会工业人工智能分会常委
中国人工智能学会教工分会常委
中国复合材料协会理事
具身智能（机器人）领域
1. 提出下意识模仿学习理论，行为约束克隆学习理论等将机器人模仿学习速度SOTA提升了一个数量级，主持的湖南省重大专项“工业机器人具身智能大模型平台研究与示范应用”成果为实现工业等具身智能机器人的落地突破提供支撑，已与多家新能源汽车龙头公司展开深度合作。筹备省级具身智能机器人创新中心
2. 设计云边协同具身智能机器人，代表了当前具身智能云边服务机器人的最高水平之一；建立全国最大的Lerobot开源具身智能社群，极大降低具身智能研发成本。
3.提出单/多智能体VLN框架，实现基于多模态大模型的自进化具身智能导航。
4. 提出低空无人机具身智能协同智能体软硬件架构，目前处于国内领先地位。
智能无人系统领域：
l 近三十年低空无人系统科研经历，系统性地解决了跨尺度纯电动无人飞行器总体设计中功耗优化，飞控可靠性提升，数据精度提升等长期困扰业界的核心问题。
l 主持多款无人机系统型号设计，续航时间均为国际领先
l 设计首个全国产机载高光谱相机，结合具身智能技术，可以在复杂环境数据实时处理，智能协同等方面重塑遥测，遥感等学科的研究范式。
工业人工智能领域：构建工业多模态大模型，实现面向工业制造国际领先的高泛化，高准确率，高实时性的多模态大模型技术部署。
承担包括国家863重大专项在内的国家/省部级等项目数十项。主持多款无人系统型号研发，测试，生产。
团队设备齐全，经费充足，科研氛围浓厚。拥有4090，3090服务器等GPU算力资源，人形机器人，方舟升降机械臂，ALOHA协作机械臂，四足机器狗，多传感器SLAM-融合测试平台。欢迎对具身智能，多模态大模型，VLA，强化学习，VLN等算法，机器人，无人系统，智能感知等领域有热情的本/硕/博，博士后,青年教师加入。请直接邮件联系。
近三年部分学术成果
1) Jun Xie, Zhicheng Wang, Jianwei Tan, Huanxu Lin, Xiaoguang Ma, “Subconscious Robotic Imitation Learning”, 2024，arXiv:2412.20368v1
2) Wensheng Liang, Jun Xie, Zhicheng Wang, Jianwei Tan, Xiaoguang Ma,Constrained Behavior Cloning for Robotic Learning”，arXiv:2408.10568,
3) Xiangyu Dong, Xiaoguang Ma,SE-VLN: A Self-Evolving Vision-Language Navigation Framework Based on Multimodal Large Language Models”, IEEE TASE, 2025, under review
4) Xiangyu Dong, Xiaoguang Ma,SM-VLN: A Self-Evolving Multi-Agent Framework with Foundation Models for Vision-and-Language Navigation”, IEEE RAL，under review, 2025
5) Shulei Huang, Xianwei Lv, Haotian Zhang, Kang Xu, Xiaoguang Ma,“M3DSS: A Multi-platform, Multi-sensor, and Multi-scenario Dataset for SLAM Systems” ICRA 2025，ACCEPTED
6) J. Shi, P. Duan, X. Ma, J. Chi and Y. Dai, Frefusion: Frequency Domain Transformer for Infrared and Visible Image Fusion, in IEEE Transactions on Multimedia, 2025doi: 10.1109/TMM.2025.3543019.
7) Tianda Zhong, Wei Meng, Xiaoguang Ma, A Rotating Camera Based Visual-Inertial Odometry System for Drones, IEEE Robotics and Automation Letters，2025，under review
8) Qianqian Wang, Xiaoguang Ma, Honghu Pan, Xiaoyu Jiang, Jianmin, “Unified Bidirectional Text and Image Generation for Text-to-Image Person Re-identification, ICML, 2025, under review
9) Chunchao Li, Jun Li, Mingrui Peng, Behnood Rasti, Puhong Duan, Xuebin Tang and Xiaoguang Ma, Low-Latency Neural Network for Efficient Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing，2025, accepted
10) Siyan Gu, Chunbo Luo, Yang Luo, Xiaoguang Ma, Jointly Optimize Throughput and Localization Accuracy: UAV Trajectory Design for Multi-User Integrated Communication and Sensing, in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3444901， (JCR 1 区，IF=10.6)
11) Hankang Gu, Shangbo Wang, Xiaoguang Ma, Dongyao Jia, Guoqiang Mao, Eng Gee Lim, Cheuk Pong Ryan Wong, Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning, in IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 7, pp. 7619-7632, July 2024, doi: 10.1109/TITS.2024.3352446.
12) Xiaoyu Jiang, Yubin Cheng, Zhihuan Song, Xiaoguang Ma, Lingjian Ye, Zhiqiang Ge, Swarm Learning for Secure and Effective Industrial Federated Big Data Analytics, IEEE Transactions on Reliability, doi: 10.1109/TR.2024.3431869”，(JCR 1 区，IF=5.9)
13) Xiaoyu Jiang, Junhua Zheng, Ziyi Chen, Zhiqiang Ge, Zhihuan Song, Xiaoguang Ma, Leveraging Transfer Learning for Data Augmentation in Fault Diagnosis of Imbalanced Time-Frequency Images, in IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2024.3454418. (JCR 1 区，IF=5.6)
14) Siyan Gu, Chunbo Luo, Yang Luo, Xiaoguang Ma, Jointly Optimize Throughput and Localization Accuracy: UAV Trajectory Design for Multi-User Integrated Communication and Sensing, in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3444901， (JCR 1 区，IF=10.6)
15) Gongtao Yue, Xiaoguang Ma, Wenrui Li, Ziheng An, Chen Yang , “2MSPK-Net: A Nuclei Segmentation Network Based on Multi-Scale, Multi-Dimensional Attention, and SAM Prior Knowledge,” Biomedical Signal Processing and Control, Vol 100, Part B, February 2025, 107140
16) Shicai Wei, Chunbo Luo, Xiaoguang Ma, Yang Luo, Gradient Decoupled Learning with Unimodal Regularization for Multimodal Remote Sensing Classification, in IEEE Transactions on Geoscience and Remote Sensing, accepted, 2024. (JCR 1 区，IF=8.125)
17) Zhenrui Wu, Xiaoguang Ma,, A Deep Reinforcement learning and Graph Convolutional Network for Harmonic Drive Fault Diagnosis, in IEEE Transactions on Instrumentation and Measurement, accepted, 2024. (JCR 1 区，IF=5.6)
18) Shicai Wei, Yang Luo, Xiaoguang Ma, Peng Ren, Chunbo Luo, MSH-Net: Modality-Shared Hallucination with Joint Adaptation Distillation for Remote Sensing Image Classification Using Missing Modalities, in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3265650. (JCR 1 区，IF=8.125)
19) Zhuo Long, Jinyuan Guo, Xiaoguang Ma, Gongping Wu, Zhimeng Rao, Xiaofei Zhang, Zhiyuan Xu, Motor Fault Diagnosis Based on Multisensor-Driven Visual Information Fusion,
ISA Transactions, ISSN 0019-0578, 2024, (JCR 1 区，IF=7.3)
20) Shulei Huang, Xinhao Guo, Zhuo Long, Xiaoguang Ma, Wenjie Chen, Wenjie Lin, Runda Jia, Puhong Duan, Xiaoyu Jiang, “Fault Diagnosis of Harmonic Drives based on Markov Field Graph Information” IEEE Sensors Journal, 2024 (JCR 1 区，IF=4.3)
21) Liang Wu, Xiaoguang Ma, “A Hand Action Recognition Framework Based on Large Foundation Models and Tracking of Skeleton Point Trajectories”, IEEE ICCD, 2024
22) Liang Wu, Xiaoguang Ma, “Group-Mix SAM: Lightweight Solution for Industrial Assembly Line Applications”, 2024 IEEE ICCD, 2024
23) Xiangning Guan, Fengqin Huang, Xiaoguang Ma, Yuxing Dai, Jinping Xie, Hao Wang, “Few-shot Fault Diagnosis of Harmonic Reducer of Industrial Robot Based on TCIFMN” IEEE Sensors Journal, 2024 (JCR 1 区，IF=4.3)
24) Haotian Zhang, Semujju Stuart Dereck, Zhicheng Wang, Xianwei Lv, Kang Xu, Liang Wu, Ye Jia, Jing Wu, Zhuo Long, Wensheng Liang, Xiaoguang Ma, Ruiyan Zhuang, Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey”，Accepted，2024，Journal of Intelligent Manufacturing
25) Wensheng Liang, Ruiyan Zhuang, Xianwei Shi, Shuai Li, Zhicheng Wang, Xiaoguang Ma, Low-Cost and Real-Time Industrial Human Action Recognitions Based on Large-Scale Foundation Models”，arXiv:2403.08420 [cs.CV]
26) Baosheng Zhang, Yelan Xian, Xiaoguang Ma, “LSGDDN-LCD: An appearance-based loop closure detection using local superpixel grid descriptors and incremental dynamic nodes”, Computers and Electrical Engineering,
Volume 119, Part A, 2024, 109477, ISSN 0045-7906,
27) Baosheng Zhang;Xiaoguang Ma;Hong-Jun Ma;Chunbo Luo, “DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes” IEEE Transactions on Instrumentation and Measurement, 2024，10.1109/TIM.2023.3348882，(JCR 1 区，IF=5.6)
28) Xiaoshun Zhang, Tao Yu, Xiaoguang Ma, Lexin Guo, “An Efficient Multi-Agent Negotiation Algorithm for Multi-Period PV Array Reconfiguration with A Hydrogen Energy Storage System”, Energy Conversion and Management. 15 March 2022 256 (JCR 1 区，IF=9.709)
29) Hongtuo Lin, Chufan Jian, Yang Cao, Xiaoguang Ma, Hailiang Wang, Fen Miao, Xiaomao Fan, Jinzhu Yang, Gansen Zhao, Hui Zhou, “MDD-TSVM: A novel semisupervised-based method for major depressive disorder detection using electroencephalogram signals”，Computers in Biology and Medicine，Volume 140, January 2022, 105039 (JCR 2 区，IF=4.589)
30) Haowen Dou, Jie Tan, Huiling Wei, Fei Wang, Jinzhu Yang, X.-G. Ma, Jiaqi Wang, Teng Zhou,, “Transfer inhibitory potency prediction to binary classification: A model only needs a small training set”, Computer Methods and Programs in Biomedicine，2022, V215.10.1016 (JCR 1 区，IF=5.428)
31) X. Guo, Y. Xiang, Z. Long, X. Ma, R. Jia and J. Jia, Secure and Private Fault Detections of Wind Turbine Through Blockchain-Enabled Federated Learning, 2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou), 2023, doi: 10.1109/ 8797.2023.10482486.
32) Shuai Li, Xiaoguang Ma, Shancheng Jiang, Lu Meng, Suqi Zhang, “Adaptive Perturbation-Driven Adversarial Training”, CVIDL，2024
33) Xianwei Lv, Xiaoguang Ma, A Generic LiDAR-Camera Extrinsic Calibration Method base on Lightweight SAM, The 2nd IEEE International Conference on Image Processing, Computer Vision and Machine Learning, ICICML，2023
34) Xianwei Lv, Xiaoguang Ma, A Noval Event-IMU Odometry based on Quadtree-accelerated Asynchronous Event Corner and Graph Optimization: RICAI 5th IEEE International Conference on Robotics, Intelligent Control and Artificial Intelligence, 2023
35) Shaowei Yang, Yangxia Xiang, Zhuo Long, Xiaoguang Ma, Qichuan Ding, Jie Jia, Fault Diagnosis of Harmonic Drives Based on an SDP-ConvNeXt Joint Methodology, in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-8, 2023, Art no. 3519608, doi: 10.1109/TIM.2023.3282658. (JCR 1 区，IF=5.6)
36) Xinming Han, Zhuo Long, Xiaoguang Ma, Jie Jia, Wenjie Chen, Wenjie Lin, SBS FD: Fault Diagnosis of Harmonic Reducers Based on Symmetrized Dot Pattern, Bag of Visual Word, and Support Vector Machine Jointed Method，Proceedings of 13th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems July11-14, 2023
37) Dike Yang, Zhuo Long, Xiaoguang Ma, Bin Xu, Wind Power Fault Detection Based on Vertical Federated Learning，2023 IEEE PHM conference
38) Wei Cheng, Zhuo Long, Xiaoguang Ma, Chuanwen Li, SPD Manifold-based Graph Neural Network for Fault Diagnosis of Harmonic Drive, 2023, EIECC
39) Junan Zhu, Zhuo Long, Xiaoguang Ma, Feng Luan, Bearing Remaining Useful Life Prediction Based on BERT Fine-tuning”, Proceedings of the 14th Global Reliability & Prognostics and Health Management, PHM-HangZhou 2023.
40) Jing Lv, Zhuo Long, Juan Wang; , Xiaoguang Ma, Fault Diagnosis of Harmonic Reducers Based on A FDG-ResNet Joint Methodology” ICSMD, 2023
41) Y. Zhang, S. Wang, X. Ma, W. Yue and R. Jiang, Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach, 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, 2023, pp. 4584-4591, doi: 10.1109/ITSC57777.2023.10422534.
42) Shanzhe Yang, Runda Jia, Xiaoguang Ma, Shuai Li, TDDAM: Transformer based deep domain adaptation methodology for lithium-ion battery prognosis, Engineering Research Express, Pub Date : 2024-08-02 , DOI: 10.1088/2631-8695/ad62b2
Professor Xiaoguang Ma
EDUCATION:
Ph.D. Mechanical Engineering, University of California, Berkeley
M.S. Mechanics, Beijing University of Aeronautics and Astronautics
B.E. Aircraft Design, Beijing University of Aeronautics and Astronautics
RESEARCH INTEREST：
Ø Embodied intelligent robots, foundation model for robotics, industrial multimodal foundation models, multimodal foundation models and their applications inbehavior recognition, robotics, intelligent perception, defect detection, fault prediction and health management, medical imaging, renewable energy, etc
Ø Industrial network security, adversarial attacks, adversarial defense, adversarial samples
Ø Multi sensor fusion, multi-sensor SLAM, intelligent perception
Ø Industrial drones and their applications
Ø Robot motion planning. Navigation, Accuracy improvement, Task planning, etc.
Ph.D. candidates and M.S. candidates:
We welcome passionate and dedicated students from all engineering disciplines, especially Control，Robotics，CS， ME, Mathematics to join our Ph.D and Master programs
Please follow the NEU’s admission to apply for our graduate programs and you are always encouraged to contact Prof Ma via emails.
APPOINTMENTS:
Standing Committee Member, Man-Machine Fusion Committee, CAAI
Board Member, Chinese Society for Composite Materials
Adjunct Professor, Peking University
Adjunct Professor, Shanghai Jiaotong University
Email: maxg@mail.neu.edu.cn
