Semi Autonomous Robot ECE 4180
ECE 4180 Final Project - Fall 2019¶
Team Members¶
- Aldo Rogliero
- Caitlin Choate
- David Fernandez
Project Description¶
The project involves a robot that can be controlled in two modes:
- Manual mode
- Using the BlueFruit app
- Autonomous mode
- Using the Pi Camera to detect images and react to them
How we did it¶
Software Overview¶
The The Pi listens for an “autonomous mode” signal and sends back output from the SVM to the Mbed. Mbed handles the bluetooth commands and controls the mode detected, as well as robot actions
Mbed¶
- Main loop controls commands received from Bluetooth and responds accordingly
- When in autonomous mode, it listens to the Pi for commands
- Reacts to a Bluetooth or Pi signal depending on the mode
Raspberry Pi¶
- Implements the Support Vector Machine (SVM) that allows for image detection
- Sends commands to the Mbed signaling which action to take
Hardware Overview¶
