General Information

Full Name Jiawei Fu
Languages English (C1), Chinese (Native)


  • 2020-2023
    Master of Science in Robotics, Systems and Control
    ETH Zurich, Zurich, Switzerland
    Advised by Prof. Marco Hutter
    • GPA: 5.77/6.00
  • 2016-2020
    Bachelor of Engineering in Mechanical Engineering (Elite Program)
    Tsinghua University, Beijing, China
    • GPA: 3.82/4.00
    • Rank: 1/18

Work Experience

  • 04.2022-09.2022
    Research Intern - Multi-modal Dataset Collection for Autonomous Driving
    Vision for Autonomous Systems, Max Planck Institute for Informatics, Saarbrucken, Germany
    Advised by Prof. Dengxin Dai
    • Designed the calibration process and synchronization circuit among 2 RGB cameras, 2 event cameras, 2 LiDARs, 1 GNSS+INS System, and 1 Jetson Xavier
    • Implemented the data collection program with ROS in Python and C++
    • Developed the post-processing and visualization scripts in Python
  • 09.2021-03.2022
    Student Intern - Learning Deep Sensorimotor Policies for Vision-based Drone Racing
    Robotics and Perception Group, University of Zurich, Zurich, Switzerland
    Advised by Yunlong Song, Yan Wu, Prof. Fisher Yu, Prof. Davide Scaramuzza
    • Designed the deep sensorimotor policy with You Only Look Once and Temporal Convolution Network
    • Trained the sensorimotor policy to imitate a state-based policy by Learning by Cheating
    • Improved the robustness of the sensorimotor policy against visual disturbances by Bootstrap Your Own Latent

Research Experience

  • 12.2022-07.2023
    Master's Thesis
    Visual Intelligence and Learning Lab, EPFL, Lausanne, Switzerland
    Advised by Prof. Amir Zamir
  • 04.2021-07.2021
    Semester Project - Computational Design of ANYmal-on-Wheels
    Robotic Systems Lab, ETH Zurich, Zurich, Switzerland
    Advised by Dr. Marko Bjelonic, Joonho Lee, Prof. Marco Hutter
    • Developed the joint optimization framework for the computational design parameters and the control policy
    • Used Time-Varying Bayesian Optimization to optimize the design parameters based on energy consumption
    • Reduced the energy consumption of ANYmal-on-Wheels during locomotion on rough terrains
  • 11.2019-06.2020
    Bachelor's Thesis - Cooperation of Mobile Manipulator and Drone
    Institute of Mechatronic Engineering, Tsinghua University, Beijing, China
    • Built the simulation environment for the mobile manipulator and the drone in Gazebo
    • Developed the pose allocation algorithm for the end effector and the drone based on safety cost
    • Implemented the solution for inverse kinematics with MoveIt
  • 03.2018-01.2019
    Research Project - Comprehensive Development for Humanoid Soccer Robot
    Institute of Mechatronic Engineering, Tsinghua University, Beijing, China
    • Designed and made the circuit board for sensor measurements and actuation of 21 servo motors
    • Developed the real-time operating system for the onboard chip with MicroC/OS-II in C
    • Implemented the decision system based on decision tree and finite state machine

Honors and Awards

  • 2020
    • Outstanding Graduate in Beijing
    • Excellent Graduate in Tsinghua University
  • 2019
    • Comprehensive Excellence Award (top 10%)
    • XCMG Scholarship (top 2%)
  • 2018
    • Comprehensive Excellence Award (top 10%)
    • Energy and Science Scholarship (top 2%)
    • 2nd prize in the Kid-size Humanoid League in RoboCup 2018 (China Tournament)
  • 2017
    • Comprehensive Excellence Award (top 10%)
    • National Scholarship (top 2%)
    • 1st Prize in the 34th Regional Physics Contest for University Students


  • Programming Language: Python, C++, C, MATLAB
  • Framework: PyTorch, TensorFlow, ROS, CMake
  • Developer Tool: Docker, Singularity, Git