How to choose the best wheeled robot?

Yes, it’s Yahboom’s Raspberry Pi robot car Raspbot V2.

1.First let’s take a look at its components

Raspbot V2 uses Raspberry Pi 5 as the main controller, so it can realize AI vision series gameplay with the camera.

From the unboxing parts, we can also see: Mecanum wheels, line-following sensors, ultrasonic sensors and other functional configurations.

I believe that the appearance of the car has gradually become clear in everyone’s mind at this time: this is an intelligent vision robot car that can move in all directions, control light changes, and realize autonomous obstacle avoidance and line patrol.

2.Getting Started

After assembling the car according to the tutorial, we first try to make the Raspbot V2 move through the mobile phone APP. It can be seen that in addition to controlling the omnidirectional movement of the car and the change of RGB lights, the main interface can also get the first-person perspective picture feedback, the picture quality is very clear, and the color can be restored very well. This lays a solid foundation for the smooth implementation of AI visual functions.

The car's high-definition camera is also equipped with a two-degree-of-freedom gimbal. After testing, the overall viewing angle can reach 180° around and 130° in pitch. With the omnidirectional motion of the car, the visual range can reach 360°.

Then I immediately implemented the tracking functions such as color and face, and found that tracking is a piece of cake for Raspbot V2!

So as a wheeled robot, how does Raspbot V2 perform in driving?

The reality tells us there is no problem. It can not only move in all directions on a smooth and flat table, but also use ultrasonic sensors to automatically avoid obstacles, making it easier for users to debug. It can also adapt to different road surfaces, and can run like a large car even in outdoor scenes.

After testing the functions of individual hardware, let's take a look at the combined functions of Raspbot V2,In addition to using tracking probes and cameras to accurately patrol routes, Raspbot V2 can also use AI vision to recognize traffic lights and road signs while patrolling routes on a map.

Summary

In summary, I think Raspbot V2 is very suitable for beginner developers. It is compact and convenient, and has excellent hardware configuration. It also covers a wide range of functions. This car can not only meet the user's learning and verification of AI visual algorithms, but also meet the needs of teaching experiments, scientific research, innovative practice and other uses. It is worth buying!