Duc M. Nguyen

prof_pic.jpg

I am Duc (Aaron) M. Nguyen, a fourth-year PhD student in Computer Science at George Mason University, advised by Dr. Xuesu Xiao. I hold a B.S. in Computer Science from Miami University with a minor in Statistics.

I’m always open to collaborations, research discussions, and new opportunities. Feel free to reach out if you’re interested in my work or would like to explore potential projects together.

Research: My research focuses on enabling safe and intelligent robot behavior through advances in machine learning, task and motion planning, and autonomous systems.

1. Robot Learning and Planning. I develop learning-based approaches that enable robots to navigate and manipulate safely in complex, dynamic environments. My work spans deep learning for hierarchical control, large-scale simulation for policy training, and classical planning algorithms for collision avoidance and motion optimization.

2. Safe Autonomy and Human-Robot Interaction. I work on creating robots that can safely operate alongside people by modeling human behavior, predicting potential failures, and designing uncertainty-aware control systems. This includes large-scale dataset curation for social navigation and developing collaborative manipulation frameworks.

3. Data Pipeline for Robot Learning. I want to build scalable simulation environments and training infrastructure that accelerate robotics research, including GPU-accelerated systems supporting parallel environments and automated pipelines for realistic environment generation.

news

Oct 14, 2025 My discussion with a Google engineer about the tech market in August is on YouTube.
Jun 12, 2025 I started working on Reinforcement Learning for robot navigation and locomotion at Johns Hopkins Institute for Assured Autonomy, under Dr. Tinoosh Mohsenin.
Mar 27, 2023 MuSoHu dataset is available on GMU Dataverse.
Aug 20, 2022 Began my Ph.D. journey at the RobotiXX Lab under the supervision of Dr. Xuesu Xiao.

latest posts

selected publications

  1. arXiv
    ATAMP.png
    Anticipatory Task and Motion Planning
    Roshan Dhakal, Duc M Nguyen, Tom Silver, Xuesu Xiao, and Gregory J Stein
    arXiv preprint arXiv:2407.13694, 2024
  2. ICPS
    human_uncertainty_mpc.png
    Human Uncertainty-Aware MPC for Enhanced Human-Robot Collaborative Manipulation
    Duc M Nguyen, Filipe Veiga, Xuesu Xiao, and Xuan Wang
    In 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS), 2024
  3. arXiv
    human_robot_cotransport.png
    Human-Robot Co-Transportation with Human Uncertainty-Aware MPC and Pose Optimization
    AJ Mahmud, AH Raj, DM Nguyen, X Xiao, and X Wang
    arXiv preprint arXiv:2404, 2024
  4. IROS
    musohu_2.png
    Toward Human-Like Social Robot Navigation: A Large-Scale, Multi-Modal, Social Human Navigation Dataset
    Duc M Nguyen, Mohammad Nazeri, Amirreza Payandeh, Aniket Datar, and Xuesu Xiao
    In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
  5. SNAM
    pathway2suicide.png
    Pathways to Suicide or Collections of Vicious Cycles? Understanding the Complexity of Suicide Through Causal Mapping
    Philippe J Giabbanelli, Ketra L Rice, Michael C Galgoczy, Nisha Nataraj, Margaret M Brown, Christopher R Harper, Minh Duc Nguyen, and Romain Foy
    Social Network Analysis and Mining, 2022
  6. Springer
    uav.png
    Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning
    Ran Zhang, Duc Minh Nguyen, Miao Wang, Lin X Cai, and Xuemin Shen
    In Broadband Communications, Computing, and Control for Ubiquitous Intelligence, 2022