Duc M. Nguyen
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. |
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| 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
- IROS
Toward Human-Like Social Robot Navigation: A Large-Scale, Multi-Modal, Social Human Navigation DatasetIn 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023