10. Additional Tasks
1. The robot is constantly moving forward. If he sees an obstacle (closer than 15 cm), he returns the
pour. An image of a left arrow also appears on the hub.
2. If the color sensor sees black, the robot stops for 2 seconds, a beep sounds, and the robot turns
right.
3. Movement of the robot along the black line.
Let's imagine you're developing software for a car with autopilot. This car can self-drive, avoid obstacles, and obey traffic laws. It is equipped with various sensors, such as radars, cameras and laser scanners, which help collect data about the environment.
One of the important aspects of car programming is the creation of algorithms that analyze data from sensors and determine the optimal trajectory for safe driving. You have to consider different situations on the road, such as other cars, pedestrians, traffic lights, and obstacles.
Also, car programming includes the development of artificial intelligence systems that can "learn" based on sensor data and driving experience. This allows the car to continuously improve its skills and adapt to changing traffic conditions.
When learning car programming, you can also design user interfaces that allow them to interact with the car and exercise control over its modes of operation.
The application of programming in the automotive industry is becoming increasingly important with the development of autonomous driving technology. Studying car programming makes it possible to develop innovative systems that increase road safety, reduce accidents and help reduce the environmental impact of cars, making them more efficient and environmentally friendly.