Khai Nguyen

MS Research @ CMU


I am a graduate student the MS in Mechanical Engineering–Research program at Carnegie Mellon Univeristy (CMU). I am advised by Zac Manchester as a member of the Robotic Exploration Lab, in the Robotics Institute. I am working on optimization-first approaches for real-time planning and control of robotic systems.

I am currently 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) where I was advised by Prof. Phuong Nam Dao. My undergraduate research focused on the intersection of control theory and reinforcement learning. Besides, I have two years of experience with Viettel Aerospace Institute as an Autopilot Engineer, where I collaborated with multiple teams on high-speed aerial vehicle development.

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I am interested in control, optimization, dynamics and robot learning. I am developing efficient optimization-based planning algorithms for real-time embedded systems.


Jul, 2023 I participated in the ETH Robotics Summer School. 🤖
Jul, 2023 I started my ETH Robotics Student Fellowship at RSL. 🦿
May, 2023 My team advanced to the semi-finals of the F1Tenth competition. 🏁
Sep, 2022 I joined Zac Manchester in the Robotic Exploration (REx) Lab. :rocket:
Aug, 2022 I started my graduate study at Carnegie Mellon University. :sparkles:

selected publications

  1. Formation Control Scheme with Reinforcement Learning Strategy for a Group of Multiple Surface Vehicles
    Khai Nguyen, Van Trong Dang, Pham Dinh Duong, and Dao Phuong Nam
    International Journal of Robust and Nonlinear Control
  2. Robust Optimal Control for Nonlinear Systems Based on Adaptive Reinforcement Learning
    Bachelor’s Thesis
  1. Adaptive Reinforcement Learning Motion/Force Control of Multiple Uncertain Manipulators
    Phuong Nam Dao, Dinh Duong Pham, Xuan Khai Nguyen, and Tat Chung Nguyen
    In Intelligent Systems and Networks, 2021