Faculty Sponsor
Nick Rosasco
College
Arts and Sciences
Discipline(s)
Computer Science, Software Engineering
ORCID Identifier(s)
https://orcid.org/0000-0002-1300-2510, https://orcid.org/0000-0003-4303-051X, https://orcid.org/0000-0003-4475-6857, https://orcid.org/0000-0003-4677-2244, https://orcid.org/0000-0003-0784-1673
Presentation Type
Poster Presentation
Symposium Date
Spring 5-1-2020
Abstract
The Valparaiso University Robotics Team's Robotic Football group has requested an application to process and display real-time sensor data during gameplay. Data of interest to both the build and drive teams includes the robot's uptime, current speed, motor power, control stick orientation, and battery life. This information will be sent to a Raspberry Pi single-board system by Arduino chips on each robot via MQTT and processed and presented by the application being built. To achieve this, the tool will be built on the Django web server framework, using Python. Challenges involve working with multiple stakeholders, multiple networked objects sending data simultaneously, and rapidly-evolving technical considerations.
Recommended Citation
Towner, Dane; Truong, Duy; Batorek, Johnny; Benbow, Paul Oscar; and Sheehy, Brandon, "Live Robot Sensor View" (2020). Symposium on Undergraduate Research and Creative Expression (SOURCE). 852.
https://scholar.valpo.edu/cus/852
Biographical Information about Author(s)
Each person in our group is either a computer science major or minor, and anyone who isn't a computer science major is a computer engineering major. All five of us enjoy tinkering with different computing tools, and Raspberry Pis are especially enjoyable to work with. One of the things which made this project challenging is no one in the group had previous experience with the technologies we used, but we enjoyed learning new things. Nearly everyone in the group is pursuing software engineering or the IT field after we graduate from college.