Spring 2023 Senior Design Showcase Winners
Group 31
DOLL-E: The Automatic Following Platform Dolly
DOLL-E is a smart dolly that tracks its user while carrying the user’s load. DOLL-E provides hands-free control, allowing the user to transport things without any physical labor.
Members
Uygar Baran (CpE)
Uygar Baran is well versed in the field of embedded software/firmware engineering with a background as an Embedded Software Engineer Intern at Qualcomm and a Firmware Development Intern at Smart Charging Technologies.
Jaime Bohorquez (CpE)
Jaime Bohorquez is an aspiring software engineer with experience in developing autonomous navigation. He has also gained software engineering experience developing production grade software as an intern at both Meta and Google.
Jequan Foy (EE)
Jequan Foy is an aspiring Electrical Engineer with a background in power industry protection and controls. He has worked at Commonwealth Associates, a power engineering consulting firm, and served as the former treasurer for NSBE.
Kristen Ling (EE)
Kristen Ling is a versatile engineering student with experience in various roles, including as an intern at Qorvo, Inc., where she works on radio frequency design, and at NASA, where she worked on software development.
Spring 2023 Senior Design ECE Showcase Winners
Description
Doll-E is a hands-free device that provides assistance to individuals who need to move heavy or cumbersome items, such as luggage. It is a square platform with wheels that follows the user and comes equipped with tracking technology for autonomous movement. Doll-E’s primary objective is to track the user from a distance, allowing them to avoid the hassle of carrying their items manually.
The Docs
This document serves as the preliminary documentation for DOLL-E, completed during the fall of 2022 as part of Senior Design 1. The contents of this document pertain to our research and the decisions made regarding the design, hardware and software selection, and other relevant information pertaining to DOLL-E.
Conference Paper
DOLL-E is an autonomous smart platform that automatically tracks the user and carries small loads, targeted towards everyday consumers and physically handicapped individuals. The conference paper explains the local direction-finding technology and the ability for DOLL-E to carry a load of at least 20lbs while maintaining a speed of 2mph. The product provides a hands-free method of carrying items and has the potential to attract a large and diverse audience due to its practicality and affordability compared to similar products on the market.
Final Documentation
Our final documentation for DOLL-E summarizes all the key decisions made during the design, assembly, and part selection phases of the project, along with the solutions to any problems encountered. This report serves as a testament to the team’s hard work and dedication, showcasing the potential of DOLL-E and providing valuable insights for future development.
Critical Design Review
The critical design review for DOLL-E evaluated the device’s design and functionality in meeting the project objectives. The review assessed the feasibility of implementing the tracking feature and the overall performance of the prototype. The team received constructive feedback on the design and implemented changes to improve DOLL-E’s functionality and user experience.
Final Presentation Slides
In this deck of slides, we detail all the decisions made along the way, including the reasoning behind each choice for all of the major components of DOLL-E.
Final Presentation
In this video, we showcase all the decisions made along the way, including the reasoning behind each choice, and present the current results of the DOLL-E project.
Final Demonstration Video
In this video, we showcase all the decisions made along the way, including the reasoning behind each choice, and present the current results of the DOLL-E project.
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