Autonomous Food Delivery Drone

Lead Author Major

Computer Engineer

Lead Author Status

Senior

Second Author Major

Computer Engineer

Second Author Status

Senior

Third Author Major

Computer Engineer

Third Author Status

Senior

Fourth Author Major

Computer Engineer

Fourth Author Status

Senior

Format

SOECS Senior Project Demonstration

Faculty Mentor Name

Rahim Khoie

Faculty Mentor Department

Department of Electrical and Computer Engineering (ECPE)

Additional Faculty Mentor Name

Jeff Shafer

Additional Faculty Mentor Department

Department of Electrical and Computer Engineering (ECPE)

Abstract/Artist Statement

Food delivery services are growing in demand as people become busier in their everyday lives. Additionally, with the circumstances of the most recent pandemic, these services have been helpful in minimizing the risk of close contact and large crowds in restaurants and supermarkets. As technology continues to revolutionize the world, automating daily necessities, such as food delivery services, can allow us to make more time for our busy lives as well as prepare us for the next potential urgency for social distancing. The aim of this project is to develop a semi-autonomous food delivery UAV (unmanned aerial vehicle) with a GPS-based navigation system that can carry a small bag of food from a docking area to a designated landing location. The system is equipped with a carbon-fiber airframe and propellers, a flight controller, electronic speed controllers, and a payload carrying apparatus. It utilizes a camera and April Tags to prepare the drone for a landing sequence. The goal is to create a system that is mass-producible, flexible to update and maintain, and eventually, fully automated.

Location

Chambers Technology Center, 3601 Pacific Ave, Stockton, CA 95211, USA

Start Date

6-5-2023 2:30 PM

End Date

6-5-2023 4:30 PM

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May 6th, 2:30 PM May 6th, 4:30 PM

Autonomous Food Delivery Drone

Chambers Technology Center, 3601 Pacific Ave, Stockton, CA 95211, USA

Food delivery services are growing in demand as people become busier in their everyday lives. Additionally, with the circumstances of the most recent pandemic, these services have been helpful in minimizing the risk of close contact and large crowds in restaurants and supermarkets. As technology continues to revolutionize the world, automating daily necessities, such as food delivery services, can allow us to make more time for our busy lives as well as prepare us for the next potential urgency for social distancing. The aim of this project is to develop a semi-autonomous food delivery UAV (unmanned aerial vehicle) with a GPS-based navigation system that can carry a small bag of food from a docking area to a designated landing location. The system is equipped with a carbon-fiber airframe and propellers, a flight controller, electronic speed controllers, and a payload carrying apparatus. It utilizes a camera and April Tags to prepare the drone for a landing sequence. The goal is to create a system that is mass-producible, flexible to update and maintain, and eventually, fully automated.