Zhiting (May) Mei

IRoM Lab | maymei@princeton.edu

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Hi! I’m a third-year PhD Student at IRoM Lab in Princeton.

My research approaches robotics through the perspective of fundamental science and aims to address the gap between specialist and generalist robots by establishing upper and lower bounds on robotics.

Upper Bound: I find fundamental limitations in robotics that plays a similar role as information theory and complexity theory. These upper bounds hold regardless of the advance of robot algorithms and therefore serve as an important guideline in improving robotics.

Lower Bound: I construct guarantees and assurances on safety and performance of specific robotics problems and generalize them to broader scenarios. I achieve this by rigorous uncertainty quantification.

Aside from research, my interests range from painting, making art videos, playing the piano (and guitar), to figure skating, dancing, and karate.

selected publications

  1. verdi.png
    VERDI: VLM-Embedded Reasoning for Autonomous Driving
    Zhiting Mei*, Bowen Feng*, Baiang Li, and 4 more authors
    2025
  2. pwc-ijrr.png
    Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
    Zhiting Mei, Anushri Dixit, Meghan Booker, and 5 more authors
    2025
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    WoMAP: World Models for Embodied Open-Vocabulary Object Localization
    Tenny Yin*Zhiting Mei, Tao Sun, and 6 more authors
    2025
  4. uq_for_llms.png
    A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
    Ola Shorinwa, Zhiting Mei, Justin Lidard, and 2 more authors
    2024
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    Perceive with confidence: Statistical safety assurances for navigation with learning-based perception
    Anushri Dixit, Zhiting Mei, Meghan Booker, and 3 more authors
    In 8th Annual Conference on Robot Learning, 2024
  6. lava_results_f.png
    Fundamental Limits for Sensor-Based Robot Control
    Anirudha Majumdar, Zhiting Mei, and Vincent Pacelli
    The International Journal of Robotics Research (IJRR), Aug 2023