Description
JETBOT MINI is a ROS artificial intelligence robot based on the NVIDIA JETSON NANO board. Built-in ROS(robot operating system), OPENCV as the image processing library, Python3 as the main programming language. It can be developed through JupyterLab online programming tools. Users can manually adjust the pitch angle of camera, and can realize various functions such as Autopilot, color recognition, and face recognition. It also support mobile APP/handle/PC cross-platform interconnection control. In addition, we specially provide open source courses and corresponding source codes for this robot to help users easily get started with ROS and AI programming.
Features
1) ROS robot operating system, Python3 programming language.
2) Cost-effective hardware configuration: Can be directly inserted into Jetson NANO dedicated expansion board, TF card with JetbotMINI dedicated operating system, USB3.0 adapter, 1300Mbps drive-free network card, and large-capacity 18650 battery pack.
3) Multi interesting AI functions: Autopilot, color recognition, face detection, AR tag recognition, visual image beautification, etc.
4) Cross-platform interconnection: Mobile APP, handle (optional).
5) The structure is simple, easy to assemble.
6) Everyone can enjoy lots of tutorial materials and professional technical support for free.
Details
Packing list
Tutorial
Shipping and delivery Information
Payment & Security
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Customer Reviews
El kit contiene todo lo necesario para aprender algunas de las piezas que se utilizan en electrónica y empezar a programar, incluso las baterías.Este es el segundo robot de esta marca y vino como regalo a mi hijo de 16 años, quien quedó muy feliz.
Su emoción empezó al abrir la caja porque le gusta armar cosas y tener este robot fue muy divertido para él y lo que pasó después del ensamblaje también lo hizo feliz.
After reconfirming the order, I received the package after 7 workking days. The shipping list is complete and it took me 20 minutes to assemble. After debugging, the car can complete the basic movements.
But the effect of the color recognition function is not very good. Technical support told me that I need to adjust the value range of HSV parameters according to the usage environment, and I am trying to debug.
Yahboom Jetbot mini Is intuitive and easy to start to learn robotics with well documented from Yahboom help me even easier.
Good starting point for AI. Lots to learn. Linux based AI on the edge applications. Many options like tensorflow or opencv and pytorch. I ditched the motors after playing around and then put it on a much larger wheelchair like base. Its learning to get to publix on the sidewalk currently. Good fun.
At present, there are really too few smart cars compatible with 2GB board on the market. The Yahboom is developed in a timely. My 2G board can be used on it.
Below I will discuss some of my own views from the following points.
1. The structure of this trolley is very simple, it only took me 10 minutes to complete the assembly.
2. The TF card that comes with the kit has been written with a special image, which can directly start the Jetson NANO board. In order to save a lot of time, as we all know, downloading the image file from the NVIDIA website and writing the image to the TF card, basically It takes about 30 to 50 minutes.
3. There are many interesting functions integrated on the APP. After the test of my two cars, they can work normally.
4. The tutorials on the Yahboom website are very complete, but I have to admit that the English translation is a bit bad.
QUESTIONS & ANSWERS
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I am experimenting with ROS-2. Can I use ROS-2 with this product?
Hello friend,
Yes, you can use ROS2 on this robot. But we don't provide more tutorials about ROS2.