Day 28: You’re in the drivers seat now


Objective: Develop an AI-driven navigation system to help the Nebula Raider chart and navigate through uncharted regions of space. This project will involve integrating multiple sensors and using AI algorithms to create a reliable navigation system.

Storyline:
As the Nebula Raider prepares to venture deeper into the unknown regions of space, it needs an advanced navigation system to safely guide it through the uncharted cosmos. As a cadet, you are tasked with developing an AI-driven navigation system that can process data from various sensors, map out safe routes, and avoid potential hazards. This system will ensure the crew’s safety and increase the efficiency of space exploration missions.

Components Needed:

  • Raspberry Pi Pico WH Microcontroller
  • HC-SR04 Ultrasonic Sensor
  • MPU-6050 Accelerometer and Gyroscope Module
  • LCD 1602 I2C
  • Resistors
  • Breadboard
  • Jumper wires

Instructions:

Set Up the Circuit:

Connect the HC-SR04 ultrasonic sensor to the Raspberry Pi Pico (trigger pin to GP2, echo pin to GP3).
Connect the MPU-6050 module to the Raspberry Pi Pico using the I2C interface (SDA to GP10, SCL to GP11).
Connect the OLED display to the Raspberry Pi Pico using the I2C interface (SDA to GP0, SCL to GP1).
Use jumper wires to make all necessary connections on the breadboard, ensuring a secure and organized setup.


Write the Code:

Open your coding environment and write the following Python code to create the AI-driven navigation system.

Test the System:

Upload the code to the Raspberry Pi Pico and run it.
Test the sensors by simulating different environmental conditions and observe the OLED display.
Ensure the system accurately measures and displays the sensor data and adjusts the navigation based on the readings.

Learning Outcomes:

AI Integration: Learn how to integrate AI algorithms with sensor data to create an advanced navigation system.
Sensor Integration: Understand how to connect and use ultrasonic, accelerometer, and gyroscope sensors with the Raspberry Pi Pico.
Microcontroller Programming: Develop skills in writing code to read sensor data, process it with AI algorithms, and display the results.

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