Research in progress
Ping-Pong Robot Thesis
High-speed stereo perception and trajectory prediction for robotic table tennis.
Personal project hub · Taiwan
Master’s student and computer-vision / robotics researcher based in Taiwan.
Building perception systems, intelligent robotics, and practical AI research.
Focus on machine perception, high-speed vision, machine learning systems, and competition-driven applied research.
Current focusCurrently developing high-speed stereo perception and trajectory prediction for robotic table tennis at National Yang Ming Chiao Tung University.
Selected work
Live project site
A 34-class marine-debris detection project covering reproducible baselines, model variants, ensemble optimization, crop rescoring, and competition submissions.
Visit projectResearch in progress
High-speed stereo perception and trajectory prediction for robotic table tennis.
Ongoing research
Applied work spanning object detection, visual tracking, multi-camera perception, and real-time inference.
Working principles
Method is part of the work: clear baselines, deliberate comparison, and a path from findings to real systems.
Build reproducible baselines first.
Measure model behavior beyond a single headline score.
Prefer controlled experiments over unbounded tuning.
Connect research evidence to deployable systems.
About
Rayhan is a master’s student working on computer vision, robotics, and machine learning systems. His current interests include high-speed visual perception, intelligent robotics, object detection, model evaluation, and practical AI infrastructure.
Education
Aug. 2024 – Sep. 2026
M.S. in Electrical Engineering
Hsinchu, Taiwan
Nov. 2023 – May 2024
Non-degree in Traditional Mandarin
Taipei, Taiwan
Aug. 2019 – Sep. 2023
B.Eng. in Electrical Engineering
Surabaya, Indonesia
Selected experience
Aug. 2024 – Present
Hsinchu, Taiwan
Hucenrotia Lab, National Yang Ming Chiao Tung University
Developing a high-speed 3D ping-pong tracking system with RealSense D455, alongside a vision-controlled, 3D-printed robotic arm prototype.
Jan. 2025 – Jan. 2026
Zhubei, Taiwan
Pacific American School
Supported VEX robotics and Arduino robotic-arm projects, and taught Algebra 2.
Dec. 2022 – Jun. 2023
Surabaya, Indonesia
Artificial Intelligence and Health Technology Robotics, ITS
Integrated LiDAR, IMU, odometry, and RGB-D sensing; implemented SLAM, localization, path planning, and motion control.
Mar. 2020 – May 2023
Surabaya, Indonesia
Bayucaraka UAV Research Team
Built autonomous flight-control and aerial vision work with ROS, OpenCV, YOLO, Gazebo, Mission Planner, and QGroundControl.
Technical skills