👋 Hi there! I'm Zekang Yu (Billy) 🎓 Education M.Eng. in General Systems Studies, University of Tokyo (Apr 2025 - Mar 2027)

Heuristic Search AI Lab, supervised by Prof. Alex Fukunaga Research: Hierarchical decision-making for multi-UAV cooperative systems with deep reinforcement learning

B.Eng. in Mechanical and Aerospace Engineering, Tohoku University (Oct 2019 - Mar 2024)

Human Informatics Lab, supervised by Prof. Satoshi Tadokoro (IEEE Fellow) Thesis: Distributed sensor fusion for multi-UAV state estimation using Extended Kalman Filter

🤖 Research Focus Developing intelligent robotic systems that combine:

Multi-agent coordination and swarm intelligence Deep reinforcement learning (DQN/PPO) for adaptive decision-making Sensor fusion and SLAM for autonomous navigation Vision-force control for precision manipulation

🔧 Technical Expertise Robotics: ROS, Gazebo, PX4, Motion Planning, Multi-Agent Systems AI/ML: PyTorch, TensorFlow, Reinforcement Learning, Bayesian Inference Computer Vision: OpenCV, HALCON, MediaPipe, Visual SLAM, Camera Calibration Control: Optimal Control, Predictive Control, Trajectory Planning

💼 Industry Experience

Huawei Technologies Yokohama Research Institute (Sep 2025 - Dec 2025)

Project Intern: Developing low-cost automated EV home charging system with robotic arms

Ernst and Young, Shanghai (Jan 2025 - Feb 2025)

IT Assurance Intern: Participated in annual audit procedures and financial compliance testing

Shanghai FANUC Robotics (Oct 2024 - Dec 2024)

Machine Vision Engineer Intern: Developed automated inspection systems achieving high defect detection rate

Sony Semiconductor Solutions (Oct 2021 - Mar 2022)

Joint Researcher: Built gesture-controlled mobile robots using ToF sensors, MediaPipe deep learning, and dual LiDAR sensor fusion

🌏 Co-chair of Chinese Student and Scholar Association in Japan (CSSAJ). Active in academic exchange and cross-cultural diplomacy.