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Matthew Kim
Hello!
I'm an undergraduate student studying computer science at UC San Diego, where I am advised by
Sylvia Herbert.
I have also had the privilege of collaborating with
Andrea Bajcsy
at Carnegie Mellon University, and
Somil Bansal
at Stanford University.
I am currently applying to PhD programs!
mak009 [at] ucsd [dot] edu /
Scholar
/
Github /
LinkedIn
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Research
My interests lie in learning algorithms that enable robots to remain reliable in complex environments. My work thus far has primarily involved developing safety filters for autonomous systems.
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What You Don't Know Can Hurt You
Matthew Kim*, Kensuke Nakamura*, Andrea Bajcsy
Submitted, Sep 2025
[paper /
website]
Investigated how partial observability manifests in world models and latent safety filters.
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Reachability Barrier Networks
Matthew Kim, Will Sharpless, Hyun Joe Jeong, Sander Tonkens, Somil Bansal, Sylvia Herbert
Submitted, Apr 2025
[paper /
video /
poster]
Learned Hamilton-Jacobi solutions to approximate smooth and flexible CBFs for general non-linear
autonomous systems.
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Koopman-Hopf Hamilton-Jacobi Reachability and Control
Will Sharpless, Nikhil Shinde, Matthew Kim, Yat Tin Chow, Sylvia Herbert
Arxiv Preprint, Nov 2023
[paper]
Leveraged Koopman linearizations and the Hopf formula to obtain a performant algorithm for high-dimensional, nonlinear autonomy.
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