研究生培養
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- 電話： 024-83656512
- 通訊地址： 遼寧省沈陽市渾南區創新路195號東北大學渾南校區機器人學院H019信箱
馬曉光（佛山）
馬曉光 教授，博士生導師
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mail:maxg@mail.neu.edu.cn
教育背景
Ph.D. 機械控制 博士, 加州大學伯克利分校
M.E. 固體力學 碩士, 北航
B.E. 飛行器設計 學士, 北航
多家等跨國公司擔任高級研發管理職務。曾任東南大學土木工程學院教授，現為東北大學信息學院，機器人學院佛山研究生院教授，博士生導師。長期從事具身智能（機器人），（工業）多模態大模型，無人系統，智能感知等領域研究。
部分兼職
國家海外高層次人才入選者
北京大學(兼職)教授，上海交通大學(兼職)研究員
科技部863重大專項專家組成員
CCF智能機器人分會常委
廣東人工智能學會與機器人學會理事，具身智能機器人專委會主任（籌）
中國人工智能學會人機融合分會常委
中國人工智能學會工業人工智能分會常委
中國人工智能學會教工分會常委
中國復合材料協會理事
研究方向
具身智能（機器人）領域：
1. 提出下意識模仿學習理論，行為約束克隆學習理論等將機器人模仿學習速度SOTA提升了一個數量級，主持的湖南省重大專項“工業機器人具身智能大模型平臺研究與示范應用”成果為實現工業等具身智能機器人的落地突破提供支撐，已與多家新能源汽車龍頭公司展開深度合作?；I備省級具身智能機器人創新中心
2. 設計云邊協同具身智能機器人，代表了當前具身智能云邊服務機器人的最高水平之一；建立全國最大的Lerobot開源具身智能社群，極大降低具身智能研發成本。
3.提出單/多智能體VLN框架，實現基于多模態大模型的自進化具身智能導航。
4. 提出低空無人機具身智能協同智能體軟硬件架構，目前處于國內領先地位。
智能無人系統領域：
近三十年低空無人系統科研經歷，系統性地解決了跨尺度純電動無人飛行器總體設計中功耗優化，飛控可靠性提升，數據精度提升等長期困擾業界的核心問題。
主持多款無人機系統型號設計，續航時間均為國際領先
設計首個全國產機載高光譜相機，結合具身智能技術，可以在復雜環境數據實時處理，智能協同等方面重塑遙測，遙感等學科的研究范式。
工業人工智能領域：
構建工業多模態大模型，實現面向工業制造國際領先的高泛化，高準確率，高實時性的多模態大模型技術部署。
學術成果
承擔包括國家863重大專項在內的國家/省部級等項目數十項。主持多款無人系統型號研發，測試，生產。
團隊設備齊全，經費充足，科研氛圍濃厚。擁有4090，3090服務器等GPU算力資源，人形機器人，方舟升降機械臂，ALOHA協作機械臂，四足機器狗，多傳感器SLAM-融合測試平臺。歡迎對具身智能，多模態大模型，VLA，強化學習，VLN等算法，機器人，無人系統，智能感知等領域有熱情的本/碩/博，博士后,青年教師加入。請直接郵件聯系。
近三年部分學術成果
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 區，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 區，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 區，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 區，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 區，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 區，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 區，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 區，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 區，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 區，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 區，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 區，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 區，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 區，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 區，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：
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
Industrial network security, adversarial attacks, adversarial defense, adversarial samples
Multi sensor fusion, multi-sensor SLAM, intelligent perception
Industrial drones and their applications
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
