Mikel Zhobro

I joined prof. Martius and the Autonomous Learning group in November 2023 as a PhD candidate. My research focuses on the intersection of vision, robotics, and machine learning. I am particularly fascinated by the recent advancements in deep learning for image/video generation. My aim is to extend these successes into the 3D realm and tackle complex challenges like 4D generation.

Part of my objective is to develop world models directly from videos in the wild, with transferable knowladge applicable to robotics and and related downstream tasks.


News

Publications

Learning 3D-Gaussian Simulators from RGB Videos

Learning 3D-Gaussian Simulators from RGB Videos

Mikel Zhobro, A. René Geist, Georg Martius
Arxiv, 2025

Learned visuo-physical dynamics models that combine 3D particle-based representations and 3DGS-based rendering.

Learning with 3D rotations, a hitchhiker’s guide to SO(3)

Learning with 3D rotations, a hitchhiker’s guide to SO(3)

ICML, 2024

Guidance on selecting the right rotation representations on deep learning models.