This project involves the development of a four-wheeled robotic car using an Arduino Uno WiFi R2, integrating C++ and Python for control and real-time sensor data acquisition. The car uses ultrasonic sensors for environmental mapping and collision avoidance.
- Remote Control: Operate the car remotely using UDP communication for seamless interaction.
- Real-Time Mapping: Utilizes ultrasonic sensors to create a real-time map of the surroundings, visualized using Python.
- Servo and Sensor Integration: Employs servo motors to adjust sensor angles and collect data for comprehensive area coverage.
- Asynchronous Communication: Implements multithreading for efficient data handling and motor control.
- Visualization: Provides a dynamic plot of sensor data, updating live as the car navigates its environment.
- Arduino Uno WiFi R2: For microcontroller programming and sensor integration.
- Python: For remote control and data visualization.
- Socket: For UDP communication.
- Matplotlib: For dynamic plotting of sensor data.
- Keyboard: For capturing keyboard events.
- Threading: For handling data reception asynchronously.
- C++: For core control logic and communication.
- WiFiNINA: For WiFi connectivity.
- Servo: For controlling servo motors.
- WiFiUDP: For handling UDP communication.
- UDP Protocol: For efficient, low-latency data exchange.
![Ultrasonic Sensor Mapping]
The image above shows the real-time mapping of the environment using ultrasonic sensors. The car adjusts sensor angles with servo motors for comprehensive area coverage.