Khai Nguyen
MS Research @ CMU
![prof_pic.jpg](/assets/img/prof_pic.jpg?156bfdfb70ffad84932f5284fc1ad1ed)
I am a graduate student in the MS in Mechanical Engineering–Research program at Carnegie Mellon Univeristy. I am advised by Zac Manchester as a member of the Robotic Exploration Lab, in the Robotics Institute. I worked with Jesus Tordesillas and Marco Hutter in the Robotic Systems Lab, ETH Zurich within the Robotics Student Fellowship.
I am a Vingroup Scholar with the mission to lead and advance the development of science and technology in Vietnam in the future.
Previously, I graduated with a BS in Control Engineering and Automation–Talent Program from Hanoi University of Science and Technology (HUST). I have ~2 years of experience in autopilot systems with Viettel Aerospace Institute.
Email / CV / Google Scholar / LinkedIn / Twitter / GitHub
research
My research focuses on the intersection of control theory
, numerical optimization
, and machine learning
, aiming to create novel theoretical frameworks and efficient computational machinery for decision-making in open-world agile and safe robotics.
news
Jun, 2024 | Two papers were accepted at RSS 2024 Workshops: Frontiers of Optimization for Robotics and Learning for Assistive Robotics. |
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May, 2024 | TinyMPC won the Best Paper Award in Automation at IEEE ICRA 2024. |
Apr, 2024 | TinyMPC was selected as a finalist for 03 IEEE ICRA Paper Awards. |
Mar, 2024 | TinyMPC with new capabilities was submitted to CDC 2024. |
Mar, 2024 | I received the Best Poster Award at the MS Research Symposium with the TinyMPC poster. |
selected publications
- TinyMPC: Model-Predictive Control on Resource-Constrained MicrocontrollersInternational Conference on Robotics and Automation (ICRA), 2024🏆 Best Paper Award in Automation at IEEE ICRA 2024
🏆 Finalists of Best Conference Paper Award and Best Student Paper Award at IEEE ICRA 2024
🏆 Best Poster Award at CMU MechE Symposium ~ 10% - Formation Control Scheme with Reinforcement Learning Strategy for a Group of Multiple Surface VehiclesInternational Journal of Robust and Nonlinear Control (IJRNC), 2023