AI-Assisted Robotics

Project Overview

This project focused on AI-assisted robotic manipulation using learning-based methods. I worked with a clothes-folding robot setup that incorporated Vision-Language-Action (VLA) models and imitation-learning pipelines.

My contribution included configuring the robotic platform, running test cycles, assisting with demonstrations, and supporting structured data collection used for policy training and evaluation.

I also worked with ALOHA-style Trossen teleoperation hardware, integrating ROS-based control and LeRobot tools for teleoperation, dataset generation, and workflow testing.

Through this work, I gained practical experience with modern learning-based robotic frameworks, teleoperation systems, and evaluation workflows used in research-driven manipulation tasks.