Zhihao Cao
Zürich, Switzerland

Hello, I'm

Zhihao Cao

Master Student in Computational Science & Engineering

Department of Mathematics, ETH Zürich

  • Multi-Robot Systems
  • Cooperative Manipulation
  • Interaction & Coordination

About

I am a master student at ETH Zürich, pursuing a master's degree in Computational Science and Engineering in the Department of Mathematics. I really love animals, especially cats. One of my dreams is to become financially independent so that I can finally adopt a cat and have a furry friend in my life.

Previously, I graduated from Harbin Institute of Technology, Shenzhen with a bachelor's degree in Automation. I spent a wonderful time working at AIRS in 2023, and I was also fortunate to be a remote intern at Baidu Inc. working on deep learning from 2020 to 2023.

My current research focuses on multi-robot systems, cooperative manipulation, and the interaction and coordination mechanisms that enable efficient robotic teamwork.

News

  • Feb 2026 MCGS-SLAM is accepted to ICRA 2026. A multi-camera SLAM framework with Gaussian Splatting.
  • Feb 2023 Our work on Cable-Driven Parallel Robots is published in IEEE RA-L.

Publications

A collection of my research work.

MCGS-SLAM

MCGS-SLAM: A Multi-Camera SLAM Framework using Gaussian Splatting for High-Fidelity Mapping

Zhihao Cao, Hanyu Wu, Li Wa Tang, Zizhou Luo, Wei Zhang, Marc Pollefeys, Zihan Zhu, Martin R. Oswald

IEEE International Conference on Robotics and Automation (ICRA), 2026

@article{cao2025mcgs,
  title   = {MCGS-SLAM: A multi-camera SLAM framework using Gaussian Splatting for high-fidelity mapping},
  author  = {Cao, Zhihao and Wu, Hanyu and Tang, Li Wa and Luo, Zizhou and Zhang, Wei and Pollefeys, Marc and Zhu, Zihan and Oswald, Martin R},
  journal = {IEEE International Conference on Robotics and Automation (ICRA)},
  year    = {2026},
  doi     = {10.48550/arXiv.2509.14191}
}
Cable-driven parallel robot

Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots with Mobile Bases via Sim-to-Real Reinforcement Learning

Yuming Liu, Zhihao Cao, Hao Xiong, Junfeng Du, Huanhui Cao, Lin Zhang

IEEE Robotics and Automation Letters (RA-L), 2023

@article{liu2023dynamic,
  title     = {Dynamic obstacle avoidance for cable-driven parallel robots with mobile bases via sim-to-real reinforcement learning},
  author    = {Liu, Yuming and Cao, Zhihao and Xiong, Hao and Du, Junfeng and Cao, Huanhui and Zhang, Lin},
  journal   = {IEEE Robotics and Automation Letters},
  volume    = {8},
  number    = {3},
  pages     = {1683--1690},
  year      = {2023},
  publisher = {IEEE},
  doi       = {10.1109/LRA.2023.3241801}
}

Projects

A collection of my course projects.

3D Thermo-mechanical Convection

Solving Partial Differential Equations in Parallel on GPUs · 2024

A GPU-parallel solver for 3D thermo-mechanical convection, implemented in Julia with distributed multi-GPU computation.

Modeling Water Flow on the Sphere with Fourier Neural Operator

AI in the Sciences and Engineering · 2024

A Spherical Fourier Neural Operator (SFNO) that learns shallow-water dynamics on the sphere, capturing global flow patterns.

Education

ETH Zürich

2023 – Present

M.Sc. in Computational Science and Engineering

  • Research Focus: Multi-Robot Systems, Interaction & Coordination in Robotics
  • Current GPA: 5.8 / 6.0

Harbin Institute of Technology, Shenzhen

2019 – 2023

B.Eng. in Automation

  • Research Focus: SLAM, Cable-Driven Parallel Robots, Reinforcement Learning
  • GPA: 90.3 / 100 · Outstanding Bachelor Degree Graduates

Honors & Awards

2023

Outstanding Bachelor Degree Graduates

Harbin Institute of Technology, Shenzhen

2020

Baidu AI Star Plan

Baidu Inc., Beijing

2020

ABU Asia-Pacific Robot Contest (ABU Robocon)

National-level First Prize

2020

NXP Cup National University Students Intelligent Car Race

National-level Second Prize

Teaching

Spring 2025

Advanced Topics in Control: Distributed Systems and Control

Teaching Assistant

Institut für Automatik, ETH Zürich

ControlMulti-Robot Systems

Service

Reviewer
  • IEEE Robotics and Automation Letters (RA-L)
  • IEEE International Conference on Robotics and Automation (ICRA)
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