Hi! I'm Zhihao Cao.

Master Student at ETH Zurich.
I'm a


Master Student at ETHZ

  • Email (Primary): m.zhihaocao@gmail.com
  • Hobby: Saxophone, Hiking
  • Google Scholar: Google Scholar
  • Email (Academic): zhicao@ethz.ch
  • Research Interets: Biorobot

I am a master student at ETH Zurich, working for a master's degree in Computational Science and Engineering in the Department of Mathematics.

Previously, I graduated from Harbin Institute of Technology, Shenzhen with a bachelor's degree in Automation. Moreover, I spent a wonderful time working at AIRS in 2023. Besides, I am pleasure to be a remote intern at Baidu Inc. about deep learning for 3 years from 2020 to 2023.

I am looking for a PhD position in Robotics and Neurorehabilitation starting from 2025 fall.

Academic Services

Journal Reviewer:

IEEE Robotics and Automation Letters (RA-L)

Conference Reviewer:

IEEE International Conference on Robotics and Biomimetics (ROBIO)



Master Program in Computational Science and Engineering

September 2023 - Present

ETH Zurich, Zurich, Switzerland

  • Fields of Specialization: Robotics
  • Orientation: Neurorehabilitation, Distributed Optimization and deep Learning

Bachelor of Engineering in Automation

September 2019 - June 2023

Harbin Institute of Technology, Shenzhen, Shenzhen, China

  • Orientation: Cable-Driven Parallel Robots, Parallel Quadruped Robots, Probabilistic Robotics and Reinforcement Learning
  • Outstanding Bachelor Degree Graduates

Research Experience


March 2023 - August 2023

Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China

  • Position: Research Assistant
  • Supervisor: Dr. Yuan GAO and Prof. Tin Lun LAM
  • Orientation: Heterogeneous Multirobot Collaborative Control

Internship Experience


September 2020 - January 2023

Baidu, Beijing, China

  • Position: R & D Internship (Remote)
  • Orientation: Deep Learning
  • Achievement: GitHub and Conference


  • All
  • Competition
  • Course
  • Research


*: equivalent contribution, #: corresponding author.

Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots with Mobile Bases via Sim-to-Real Reinforcement Learning
IEEE Robotics and Automation Letters (RA-L) & IROS, 2023

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

Paper Video

Calibration of Deep Learning Classification Models in fNIRS
IEEE International Conference on Automation Science and Engineering, 2024

Zhihao Cao#, Zizhou Luo*


Simple But Effective: Rethinking the Ability of Deep Learning in fNIRS to Exclude Abnormal Input
IEEE International Conference on Automation Science and Engineering, 2024

Zhihao Cao#



Email: m.zhihaocao@gmail.com