Teaching

The goal of Project 1 is to program and integrate industrial robot systems to perform tasks like pick-and-place operations and material handling.

The goal of Project 1 is to program and integrate industrial robot systems to perform tasks like pick-and-place operations and material handling.

The goal of Project 2 is to program and integrate an industrial robot system in both simulation and real hardware to perform vision-guided tasks such as object grasping and visual servoing for object tracking.

The goal of Project 2 is to program and integrate an industrial robot system in both simulation and real hardware to perform vision-guided tasks such as object grasping and visual servoing for object tracking.

The goal of Project 2 is to program and integrate an industrial robot system in both simulation and real hardware to perform vision-guided tasks such as object grasping and visual servoing for object tracking.

The goal of Project 2 is to program and integrate an industrial robot system in both simulation and real hardware to perform vision-guided tasks such as object grasping and visual servoing for object tracking.

This project presents a multimodal imitation learning approach to achieving fully autonomous bimanual robotic manipulation. By leveraging a specified visual sensing and supervised learning policy, our solution aims to enhance manipulation precision and generalizability across diverse specific tasks and different robotic platforms. 

Labor shortages and the demand for operational efficiency have accelerated the need for automation in grocery store operations. This project explores the feasibility of automating two key in-store tasks—shelf replenishment and correction of misplaced products—using an integrated autonomous robotic system composed of an Autonomous Mobile Robot (AMR) and a UR5 manipulator. 

Repetitive, time-consuming laboratory tasks, human fatigue, and the slow pace of manual experimentation frequently impede the advancement of scientific research. This project seeks to bridge the gap in existing automation systems by designing an autonomous self-driving laboratory that integrates advanced mobility, computer vision, and dual robotic manipulation. 

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.

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. 

This project explores the use of automated robotic systems to perform underwater pipe welding to enhance safety and efficiency in pipeline maintenance.

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.

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. 

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.