Hi! I'm Zhihao Cao.


Master Student at ETH Zurich.
I'm a

About

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)

Resume

Education

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

AIRS, CUHKSZ

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

Baidu

September 2020 - January 2023

Baidu, Beijing, China

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

Research

  • All
  • Competition
  • Course
  • Research

Publications

*: 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
Submitted to Conference, 2024

Zhihao Cao#, Zizhou Luo*

Paper



Simple But Effective: Rethinking the Ability of Deep Learning in fNIRS to Exclude Abnormal Input
Submitted to Conference, 2024

Zhihao Cao#

Paper

Contact

Email: m.zhihaocao@gmail.com