Jueun Kwon

jueun [at] u [dot] northwestern [dot] edu

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Hi! I’m a second-year robotics Ph.D. candidate at Northwestern University, advised by Prof. Todd Murphey in the Interactive and Emergent Autonomy Lab.

My research focuses on runtime data collection for robot learning. I study how robots can autonomously generate informative data while operating under physical constraints such as dynamics, sensing, and contact.

Before joining Northwestern, I received my B.S. in Mechanical Engineering from Cornell University and spent my summers interning at X, the moonshot factory, and Apple.

selected publications

  1. ICRA
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    Volumetric Ergodic Control
    Jueun Kwon, Max M. Sun, and Todd Murphey
    In IEEE International Conference on Robotics and Automation (ICRA), 2026
    arXiv
  2. CoRL
    CLAMP: Crowdsourcing a LArge-scale in-the-wild haptic dataset with an open-source device for Multimodal robot Perception
    Pranav N. Thakkar, Shubhangi Sinha, Karan Baijal, Yuhan (Anjelica) Bian, Leah Lackey, Ben Dodson, Heisen Kong, Jueun Kwon, Amber Li, Yifei Hu, and 3 more authors
    In 9th Annual Conference on Robot Learning, 2025
    arXiv
  3. RSS
    Scalable Coverage Trajectory Synthesis on GPUs as Statistical Inference
    Max M. Sun, Jueun Kwon, and Todd Murphey
    In RSS 2025 Workshop on Parallelized Planning and Control for Robotics, 2025
    arXiv