Arts and Sciences
Computer Science, Software Engineering
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
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.
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.