Yo Kotaku (JP) / Guang-Ze Yang (CN)

Robotics & Control Engineer
Control Theory × Robot Learning × Physical AI

I am an R&D engineer working on robotics and intelligent control systems in Japan.

My background is in control theory and multi-robot systems, with research experience in safety-critical control, formation control, and optimization-based control. More recently, I have been expanding my work toward robot learning, manipulation, perception, simulation, and embodied intelligence.

I am particularly interested in building robotic systems that combine:

• Model-based control and optimization
• Robot learning and reinforcement learning
• Motion planning and manipulation
• 3D perception and geometric reasoning
• Safety-critical autonomous systems
• Simulation-to-real transfer
• Physical / Embodied AI

My long-term interest is in bridging classical control, robotics, and learning-based intelligence to build autonomous robots that can operate robustly in the physical world.

• Safety-Critical Control
• CLF / CBF / QP
• Multi-Robot Systems
• Robot Manipulation
• Grasp Generation
• Robot Learning & Reinforcement Learning
• Motion Planning
• 3D Perception
• Sim-to-Real
• Physical AI

• 2024.04 – 2026.03
  M.Eng. in Mechanical Systems Engineering
  Ibaraki University, Japan

• 2020.04 – 2024.03
  B.Eng. in Mechanical Systems Engineering
  Ibaraki University, Japan

• G.-Z. Yang and Z.-J. Yang,
  "Safety-Critical Formation Tracking Control of Multi-Robot Systems via CLF-CBF-QP,"
  2025 International Conference on Advanced Mechatronic Systems (ICAMechS), Xi'an, China, 2025, pp. 78–83.
  [IEEE Xplore] [Code]

• G.-Z. Yang and Z.-J. Yang,
  "Distributed Robust Time-Varying Formation Control of Multi-Agent Systems Under Disturbances,"
  2024 SICE Festival with Annual Conference (SICE FES), Kochi, Japan, 2024, pp. 1000–1005.
  [IEEE Xplore] [Code]

Programming

• Python
• C / C++
• MATLAB
• JavaScript
• HTML / CSS

Robotics & Control

• ROS / ROS 2
• MATLAB / Simulink
• cuRobo / Pinocchio / MoveIt
• Optimization-based Control
• Robot Kinematics & Dynamics

Robot Learning & AI

• PyTorch
• Reinforcement Learning
• Diffusion Models
• VLM / VLA

Simulation

• NVIDIA Isaac Sim / Isaac Lab
• MuJoCo
• NVIDIA Newton

Development

• Linux
• Docker
• CAD / SolidWorks

• Chinese — Native
• Japanese — Professional proficiency
• English — Academic / Technical communication

"逆境不吐心中苦，顺时不忘来时路。"

"Stoic in hardship, humble in success."

"逆境にあっても心の苦しみを吐き出さず、順境にあっても歩んできた道を忘れない。"

"知之者不如好之者，好之者不如樂之者。" — Confucius

"To know is not as good as to love; to love is not as good as to delight in."

"ある事柄を『知っている』者は、それを『好きだ』という者には及ばない。『好きだ』という者は、それを『楽しんでいる』者には及ばない。"