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KuangzhiGe/README.md

Kuangzhi (Arell) Ge — World Models, Embodied AI, Robot Intelligence

Homepage Google Scholar Email

Building intelligence for the physical world.

I'm a Founding Partner and Member of Technical Staff at MUKA Robotics, building world models and general robot intelligence for open, physical environments.

I graduated from Peking University with a B.S. in Intelligence Science and Technology. Previously, I conducted research at the HMI Lab under the guidance of Prof. Shanghang Zhang and worked with Prof. Sirui Han and Prof. Yike Guo.

01 / World Models
Representing world states and modeling state transitions.		 02 / Embodied AI
Planning and control for robots in open environments.		 03 / Multimodal Learning
Video understanding, generation, and vision-language models.

Selected research

Work What it explores Links
DyVA / WorldLM Video diffusion models as generative encoders for spatial and multi-frame reasoning. Project · Code · Paper
MinD A dual-system world model for real-time planning and implicit risk analysis. Project · Code · Paper
SCBench A benchmark for evaluating sports commentary capabilities in video LLMs. Paper

Current coordinates

role      Founding Partner · MTS @ MUKA Robotics
focus     World models · General robot intelligence
location  Beijing, China
contact   kuangzhige@mukarobotics.com


BUILDING OPEN-WORLD INTELLIGENCE

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  1. minimal-photon minimal-photon Public template

    An academic homepage theme based on Jekyll (minimal-light).

    SCSS 3

  2. dyva-worldlm dyva-worldlm Public

    Forked from zyzkevin/dyva-worldlm

    Python

  3. GT-NeRF GT-NeRF Public

    This is a final project for the Computer Vision course taught by Prof. Pengshuai Wang at Peking University. We are going to create our own NeRF and D-NeRF based on the original versions.

    Jupyter Notebook 2 1

  4. Vis_Ancient_Engraving Vis_Ancient_Engraving Public

    Forked from qianfanshen/Vis_Ancient_Engraving

    HTML