Roundup: Robot Control App
Course: COSC 426
Client: Dr. Giulia Franchi
Team: Kids Against Weed
Teammates:
- Zach Moore
- Emily Hitchcock
- Garrett Jolly
- Nick Krisulevicz
-
Dane Akers
Installation Instructions
Currently installed by running command in Flutter: will be updated with final release of productContents of Repository
Control
Contains Arduino code to control the robot, which includes: Laser Activation/Deactivation, and navigation
control. Both manual control and autonomous control source code resides within this directoryCamera
Contains Arduino source code for the ESP32 camera. The ESP32 can broadcast an IP address that can be accessed
remotely from a web browser, i.e: Google Chrome, Firefox, etc. The broadcast streams video with
adjustable resolution and filters.Images
Contains various assets used during development of the app. App logos, splashscreens, and possibly other assets for
styling are included.Bluetooth Controller
Contains the flutter app created for the project. Object Recognition
Contains a python script which uses OpenCV and Numpy to detect colors. OpenCV allows for use of a filter that only
displays certain color hues.Client Updates
Meeting 1:
-Team was instructed to finish robot design using existing hardware.
-Suggested chassis redesign was tabled for later focus by client
-The team is to continue with acrylic robot chassis currently in use
-Team was given the milestone of having functional autonomous program before 03/17/2023
-The milestone requirements are as follows:
-Have a basic autonomous driving algorithm in place
-Have object recognition algorithm in place
-
Meeting 2:
-Team demonstrated object recognition to client
-Team demonstrated currently functioning app to the client
-Client laid out expectations between then and the end of the first milestone.
Meeting 3:
-Details to follow - meeting scheduled for 03/14/2023