Teaching
Teaching Experience
2024 Fall, Instructor, IE 474: Industrial Control Systems, Purdue
2024 Spring, Instructor, IE 574: Industrial Robotics & Flexible Assembly, Purdue
2023 Fall, Instructor, IE 474: Industrial Control Systems, Purdue
2023 Spring, Instructor, IE 574: Industrial Robotics & Flexible Assembly, Purdue
2022 Fall, Instructor, IE 474: Industrial Control Systems, Purdue
2022 Spring, Instructor, IE 574: Industrial Robotics & Flexible Assembly, Purdue
Some of Course Projects from IE 574: Industrial Robotics & Flexible Assembly
[2024 Spring] Fast Food Automation
The project considered ingredient pick-and-place and dispensers, robotic arms for complex tasks (example: building a quesadilla), optical sensors to monitor ingredients levels and assembly quality, and temperature sensors / heaters for warming food and/or melting cheese.
[2024 Spring] Pizza Cutter
The project aims to develop an approach to accurately identify the shape and size of the pizza, allowing robot system to cut it evenly each time, no matter if it may be a circular or square pizza. Once cut, the conveyor will transfer the pizza to a serving tool that will serve the pizza into a pizza box for the customer.
[2024 Spring] Underwater Pipeline Welding
This project explores the use of automated robotic systems to perform underwater pipe welding to enhance safety and efficiency in pipeline maintenance.
[2023 Spring] Fabric Printing through Dye Sublimation
The project seeks to increase output production of clothing by using robotic arms to move fabric panels between stations instead of a human performing these actions, aiming to increase the efficiency of the process and allows for safer and more consistent manufacturing conditions.
[2023 Spring] Mobile Tire Replacement
The project proposes the development of a mobile tire replacement robot that can replace a flat tire of a car by aiding the human operator in tasks such as lifting the car by the jack system.
[2023 Spring] Automated Robotic Harvesting
This project leverages a mobile robotic manipulator and intelligent sensors to pick strawberries. In this project, cameras and proximity sensors are utilized to ensure efficient and accurate picking of the strawberry by detecting and handling it. By incorporating the sensors, robots can perform fruit-picking operations with precision, speed, and consistency, reducing labor costs and increasing productivity.