About Lab606

This laboratory is affiliated with the Department of Electrical Engineering, National Kaohsiung University of Science and Technology (NKUST, Jiangong Campus).

Research topics: Data-driven control, Metaheuristics

Talk is cheap. Show me the code.

Suppose you are a student in the electrical engineering department but not good in circuits, electronics, or electromagnetism.
Great! Join us! Here, we speak in code. The ability to understand systems, mathematical formulas, and program logic are the only three abilities you need here.

For undergraduate students, about the capstone project: Propose a research topic within a restricted field. The limited research scope is the application of industrial robot arms and the application of machine learning. No matter what topic you choose, you’ll need to write a program to help get the job done. Therefore, not being afraid of writing programs is a necessary condition for executing the project.

For graduate students, here are some knowledges that you may need to know to join Lab606: Control theorem, Digital image processing, and Robotics. These undergraduate courses can help you quickly understand our research content. You can study by yourself or sit in on the department’s related courses.

We also provide some additional topics for collaborative research, such as PC-based industrial automation system integration, automatic optical inspection, and optimization of formulations or parameters for biochemical synthesis or mechanical processing.

Issues

[Thesis]

[110]
YEN, CHENG-HSIN – Deep Learning for CNC Tool Wear Inspection
LIN, TIEN-EN – Proximal Policy Optimization Algorithm with Non-linear Time-Varying Bonus and Its Application

[111]
SHIH, HAO-TING – Tilapia Body Structure Detection by Using Deep Learning
GUO, XUAN-REN – Automatic Detection of Breast Cancer on MRI Based on Fast R-CNN
LIN, SHANG-JUN – Predicting Tool Wear Torque Trends in CNC Milling Machine Spindles by Using Deep Learning

[Dissertation]

[111]
CHANG, PING-YUEH – Study on Optimization of Rigid Tapping with Multiple Objectives