Grace Kwak

I’m a robotics researcher interested in generalizable, data-efficient embodied intelligence via compositional learned models. My keywords are deep learning, generative models, trajectory planning, and decision-making.

I'm currently on a gap year, where I'm taking the time to explore my interests at the Recurse Center while applying to PhD programs in CS. I graduated from UCLA with a B.S. in Electrical Engineering in June 2024 as a Regents Scholar. As part of the Verifiable & Control-Theoretic Robotics Laboratory under Professor Brett Lopez, I developed a motion primitive sampler using deep imitation learning to accelerate an online long-horizon quadcopter planner. I also built the drone model validation tool at Zipline and root-caused system instability in the a rocket engine at Blue Origin.

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