Reinforcement Learning with conveyor belt
Reinforcement learning was applied in a dynamic environment to pick up objects and place them into the appropriate boxes.
Reinforcement learning was applied in a dynamic environment to pick up objects and place them into the appropriate boxes.
This project was conducted prior to my master’s program as an undergraduate research project.
This project was conducted prior to my master’s program as an undergraduate research project.
Published in , 2009
A multimodal robot planning framework using LLMs integrates vision and force/torque data to generate reliable, sequential motion plans, achieving higher success rates than single-modality approaches.
Published:
Title: High SNR and High Frame Rate Analog Front-End ICs with Active Stylus for Capacitive Touch Screen Panels
Undergraduate course, Dongguk University, Department of Mechanical Engineering, 2023
From September to December 2023, I served as a Teaching Assistant (TA) for the course “Fluid Mechanics.”
Undergraduate course, Dongguk University, Department of Mechanical Engineering, 2024
From March to June 2024, I served as a Teaching Assistant (TA) for the course “Autonomous
Undergraduate course, Dongguk University, Department of Mechanical Engineering, 2024
From September to December 2024, I served as a Teaching Assistant (TA) for the course “Introduction to Computational
Undergraduate course, Dongguk University, Department of Mechanical Engineering, 2025
From March to June 2025, I served as a Teaching Assistant (TA) for the course “Autonomous