About
A motivated robotics researcher specializing in machine learning, learning-based control, motion planning, and sim-to-real transfer. Experienced with robotic software development using ROS and simulation with NVIDIA Isaac Sim. Proficient in Python and C++.
Currently pursuing an PhD at Dalle Molle Institute for Artificial Intelligence (IDSIA) of the Universita della Svizzera italiana (USI) and the University of Applied Sciences and Arts of Southern Switzerland (SUPSI).
Education
PhD in Informatics Universita della Svizzera italiana – Starting from Feb 2026 Lugano, Switzerland
MSc. Robotics, Systems and Control ETH Zurich – Sep 2022 - Oct 2025 Zurich, Switzerland
BSc. Mechanical Engineering (Exchange Program) RWTH Aachen University – Oct 2021 - Aug 2022 Aachen, Germany
BSc. Vehicle Engineering Beijing Institute of Technology – Sep 2018 - Aug 2022 Beijing, China – Final grade: 91.4 / 100
Work Experience
Robotics Internship Alfred Karcher SE & Co. KG – Aug 2024 - Jan 2025 Winnenden, Germany
- Worked in an agile robotics development team using a modern toolchain (Git, ROS, CMake, C++17, Python3, Jenkins CI, LangChain) and Jira
- Research and implementation of a path planning benchmark tool for parameter tuning
- Research and implementation of an AI assistant for the robotics stack
- Performance optimization for a path planning algorithm
- Support in application testing
Mentor International Academy of RWTH Aachen University – Aug 2022 Aachen, Germany
- Helped mentees with projects of the summer school and with settling in Aachen
- Received the award for outstanding student commitment
Skills
Programming: Python, C++, Git, Linux
Robotics & ML: ROS, NVIDIA Isaac Sim, PyTorch, TensorFlow, JAX, Equinox
Tools: CMake, Jenkins CI, LangChain, Jira
Languages
- Chinese – Native
- English – C1 Proficient
- German – B2 Independent
Contact
- Email: yuke-cai@outlook.com
- GitHub: github.com/yolkarian
- LinkedIn: linkedin.com/in/yuke-c-a72168227
- Location: Lugano, Switzerland