Khai Nguyen

I am currently involved in exciting projects, including AI-powered humanoid robots, sampling-based optimal control, and implicit deep learning.

I did my MS with Zac Manchester as a member of the Robotic Exploration Lab at the Robotics Institute, Carnegie Mellon University. In the summer of 2023, I was a Robotics Student Fellow at the Robotic Systems Lab at ETH Zurich. I did my BS in Control Engineering and Automation–Talent Program at Hanoi University of Science and Technology.

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research

I am driven by elegant solution methods in robot learning and control that target high performance, safety guarantees, data efficiency, and robust generalization—key milestones toward embodied intelligence.

I am open to exploring various theoretical and practical aspects of robotics, drawing on my background in control theory, differentiable optimization, and machine learning.