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Ben0126/README.md

Waving Hand Hello, I'm Shun-Pin Yeh (Ben)

Typing SVG

Email LinkedIn Personal Website GitHub Phone

🌱 About Me

I'm an engineer specialized in drone systems development, reinforcement learning, and intelligent applications from Taiwan πŸ‡ΉπŸ‡Ό.

  • πŸŽ“ Bachelor's degree in Department of Green Energy and Information Technology from National Taitung University
  • πŸŽ“ Upcoming: Master's in Electrical and Computer Engineering at Oregon State University (Starting September 2025)
  • πŸ’Ό Worked as an Engineer Intern at Electronic and Optoelectronic System Research Lab at Industrial Technology Research Institute (ITRI)
  • 🚁 Specialized in drone control, reinforcement learning, and intelligent system integration
  • πŸ” Exploring AI applications in autonomous systems, particularly deploying reinforcement learning in practical hardware
  • 🌐 Committed to developing intelligent systems that solve real-world problems

πŸ”­ Current Projects

🍽️ FoodFate

Intelligent Random Restaurant Recommendation App

Solving the "what to eat today" dilemma! Helps users quickly decide where to eat through personalized filtering, a fun roulette interface, and all-in-one action features.

  • πŸ› οΈ Tech Stack: Flutter, Python Flask, PostgreSQL, Google Maps API
  • 🚩 Status: Active Development (MVP Stage)
  • πŸ“‹ Project Details

🏭 Factory ERP System

Order and Production Management System

Order processing and production management system for manufacturing industries, featuring customer management, product tracking, and material procurement.

  • πŸ› οΈ Tech Stack: Django REST Framework, React, PostgreSQL
  • 🚩 Status: In Development
  • πŸ“‹ API Documentation

🏎️ F1-Style Autonomous Racing

Reinforcement Learning with Racing Simulator

Training autonomous driving systems using reinforcement learning to find optimal racing lines and execute dynamic overtaking strategies.

  • πŸ› οΈ Tech Stack: Python, PyTorch, ROS2, Reinforcement Learning (PPO algorithm)
  • 🚩 Status: Research Phase
  • 🎯 Goal: Develop models deployable on actual small-scale racing vehicles

πŸ’» Technical Skills

Programming & Tools

Domains of Expertise

  • πŸ€– Reinforcement Learning - PPO, DQN, Actor-Critic
  • 🚁 Drone Systems - Flight Control, Position Estimation, Obstacle Avoidance
  • 🧠 Machine Learning - Supervised Learning, Unsupervised Learning, Computer Vision
  • πŸ”§ System Integration - ROS, Sensor Fusion, Hardware Interfaces
  • πŸ“Š Data Analysis - Experimental Design, Statistical Analysis, Visualization

πŸ”¬ Research & Experience

πŸ‘¨β€πŸ’» Industrial Technology Research Institute (ITRI) | Electronic and Optoelectronic System Research Lab

Engineer Intern (Nov 2023 - Aug 2024)

  • Developed a drone stabilization control system for non-GPS environments, reducing position estimation errors to under 0.5 meters
  • Integrated flight controller, onboard computer, and depth camera to reduce dependence on external infrastructure
  • Combined computer vision with control algorithms to enable target tracking and following capabilities

🏫 National Taitung University | Intelligent Energy Management Lab

Research Assistant (Aug 2023 - Feb 2024)

  • Mentored lab members on Metaheuristic Algorithms
  • Optimized Particle Swarm Optimization (PSO) algorithm for 3D path planning, improving computational efficiency by 35%

🏫 National Taitung University | Intelligent Green Technology Control Course

Teaching Assistant (Feb 2022 - Jun 2022)

  • Assisted professor in guiding over 12 groups of students to complete drone control projects
  • Taught MATLAB programming and Tello drone control techniques

🏫 National Taitung University | Intelligent Control Lab

Research Assistant (Jul 2021 - Dec 2021)

  • Investigated GA-PID, Fuzzy Logic, and PID control methods for drone controllers
  • Assisted professor in writing research proposals for MOST Research Project, focusing on drone control and obstacle avoidance technologies

πŸ“š Publications

Journal Papers

  • Liu, C.H., Yeh, S.P., Wang, Y.C., Lai, W.L., Shen, S.C., Ding, Z.A., Chu, L.M.* (2023). "Design of Reinforcement Learning Controller for Quadcopter in Flight Environment with Random Disturbance," Green Science & Technology Journal, 13(1), 45-54.

Conference Papers

  • Liu, C.H.*, Yeh, S.P., Wang, Y.C., Lai, W.L., Luo, G.Y., Shen, S.C., Ding, Z.A., Chu, L.M. (2023). "Performance Evaluation of Proximal Policy Optimization Algorithm in Controlling Quadcopters," IEEE International Symposium on Computer, Consumer and Control (IEEE-IS3C 2023), 1311.

  • Liu, C.H., Yeh, S.P., Wang, Y.C., Lai, W.L., Luo, G.Y., Chu, L.M. (2023). "Analysis of Various Control Strategies for Indoor Quadcopter Applications," 2023 Conference of Research and Development in Technology Education (2023 CRDTE), N059.

πŸ† Awards & Honors

  • πŸŽ“ College Student Research Scholarship - Ministry of Science and Technology
  • πŸ₯‡ SOS-IPO (1st Place) - National Taitung University Innovation and Entrepreneurship Competition
  • πŸ₯‡ Startup Internship Learning Showcase (1st Place) - National Taitung University Entrepreneurship Internship Competition

πŸ“Š Developer Profile

🧠 Technical Skills Distribution

Skills

Programming Languages

Frameworks & Technologies

🌟 Development Focus Areas

πŸ“ˆ GitHub Statistics

πŸ”— Contact Me

Feel free to reach out to me through:


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