---
product_id: 522185498
title: "Yahboom AI Robot for NVIDIA Jetson Nano, Coding Robotics Kit with Autopilot, Object Tracking, Face and Color Recognition"
brand: "yahboom"
price: "S$770"
currency: SGD
in_stock: false
reviews_count: 5
url: https://www.desertcart.sg/products/522185498-yahboom-ai-robot-for-nvidia-jetson-nano-coding-robotics-kit
store_origin: SG
region: Singapore
---

# RGB LED strips for ambient lighting 3-DOF 8MP HD camera AI-powered multi-function robot Yahboom AI Robot for NVIDIA Jetson Nano, Coding Robotics Kit with Autopilot, Object Tracking, Face and Color Recognition

**Brand:** yahboom
**Price:** S$770
**Availability:** ❌ Out of Stock

## Summary

> 🤖 Elevate your AI game with the ultimate Jetson-powered smart robot!

## Quick Answers

- **What is this?** Yahboom AI Robot for NVIDIA Jetson Nano, Coding Robotics Kit with Autopilot, Object Tracking, Face and Color Recognition by yahboom
- **How much does it cost?** S$770 with free shipping
- **Is it available?** Currently out of stock
- **Where can I buy it?** [www.desertcart.sg](https://www.desertcart.sg/products/522185498-yahboom-ai-robot-for-nvidia-jetson-nano-coding-robotics-kit)

## Best For

- yahboom enthusiasts

## Why This Product

- Trusted yahboom brand quality
- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Rugged Elegance:** Crafted from matte aluminum alloy for durability and a sleek, professional look.
- • **360° Vision Control:** Pan, tilt, and elevate the HD camera for immersive real-time video streaming.
- • **AI Meets DIY Mastery:** Harness NVIDIA Jetson Nano's power to build a smart robot that learns and adapts.
- • **Open Source Innovation:** Unlock 31+ full code projects with step-by-step tutorials to customize your AI bot.
- • **Dynamic Autopilot & Tracking:** Experience seamless object, face, and color recognition with autopilot navigation.

## Overview

The Yahboom AI Robot for NVIDIA Jetson Nano is a premium DIY robotics kit designed for adults and advanced learners. Featuring a robust aluminum chassis, a 3-axis 8MP HD camera, and programmable RGB LED strips, it delivers real-time video and advanced AI functions like autopilot, object tracking, and face recognition. Fully open-source with extensive tutorials, it’s the perfect platform to master AI robotics and stand out in tech-savvy circles.

## Description

Jetbot is a multi-functional AI smart robot car based on JESTON NANO 4GB that responds quickly to a variety of Al visual gameplay. The vehicle is made of green aluminum alloy, coupled with a unique mechanical structure that makes it different in appearance from other cars. Equipped with 3-degrees of freedom lifting platform and 8 million HD camera, which can real-time view surrounding scenes. And it can accomplish Automatic Avoiding, Object Tracking, Color Recognition / tracking, detecting desktop edge to anti-drop, etc. You can also train a variety of different runway models and control JetBot complete the autopilot function. Programmable RGB strips are also designed on both sides to light up high-brightness colorful light in dark environments. Users can remote control it by APK or Handle, and we will provide a lots of reference tutorials for users.

Review: I am an online instructor in robotics and have been using the Yahboom smart car in my classes. Still, I recently had the opportunity to evaluate the new Yahboom Jetbot built on the Nvidia Jetson. Here are my observations: Robot hardware: Excellent quality! The frame and components are a considerable improvement over plastic alternatives. The Yahboom Jetbot is made from thick aluminum, which provides excellent stability and ruggedness. Jetbot tracks are well fitted and performing. The component placement is logical and compact. The only exposed wire during operation is the cable to the camera, but it is sized not to be a hazard. The only complaint I have is the OLED display has no support and could get hit and break during rough handling. Nevertheless, this is a convenient readout for visibility into the robot status when running. The camera is mounted on servos with 3 degrees of movement, tilt, pan, and raise/lower. Building the Robot: This was amazingly easy. It only took a couple of hours to assemble the entire robot. The method of marking the different hardware was brilliant and allowed for a confusion-free build. The build instructions are decent, with lots of accurate pictures to follow. Do heed the warning about placing the servos in the middle position during the build. I didn’t, and it was a pain to change later. Overall it was a fun and easy experience. Image: The image is huge and takes a long time to download. Unfortunately, Yahboom does not offer an initial image on hard storage, so prepare for a long 32 to 64GB download to get the image. Initial usage: I had some trouble getting the wifi up and running in the beginning. However, Yahboom has cleverly provided three initial connection methods (direct monitor/keyboard, wifi hotspot, or USB). A simple USB cord worked well for me. The operating system is relatively standard ubuntu, with industry-standard controls and packages, so getting it up and running once inside was easy and familiar. The remote control from an android app worked amazingly well through wifi, allowing for a quick demonstration of basic functions without programming. There are even built-in modes utilizing the AI engine in exciting ways. Software: The stock robot package is written in python and well laid out into notebooks. The built-in dev environment Jupyter Lab makes it easy to start interactively through a simple HTTP connection. The code itself seems well documented and easy to navigate in the interactive environment. While I have not yet heavily modified the code or written my own, it looks easy enough to do so. I have not yet had a chance to explore AI packages, but they seem the stock packages and should be trouble-free. Negatives: It would be nice to have a few simple sensors to augment the intelligence. The design seems to be around the AI as the interface to the real world through sight, which is great for a learning tool. However, I would like to see some basic avoid sensors and distance sensors to complete the robot ensemble. The documentation of the software can be a bit confusing at times. It seems to have been updated, and some references are misprinted. The initial hotspot for the wifi connection didn’t work from the Yahboom image, but the other methods worked perfectly. The wifi antennas were a bit looser than I’d like to see and difficult to attach firmly to the body, but not a serious concern. Overall, this is an amazingly sturdy and capable robot in hardware and software. The intelligence capabilities are impressive. This is built onto a solid performing body that truly makes it a mobile intelligence device. The tools and interfaces are reasonably simple, given the capability. This robot will make a great platform to teach robotics and AI both separately and together. Teaching AI tends to be low-enjoyment book learning without a real-world interface. What better interface than a working robot! Dave Salch
Review: This is an excellent kit. The design is pretty good and it's far sturdier than I expected. I have completed the basic hardware and software setup. Documentation was good I thought. So far I have had a bad SD card. I bought a new one and we will see if support sends me a replacement. Though I initially had some problems with other hardware, I completely charged my battery and reset all my hardware connections and all is working fine now. I plan on adding some additional servos, some method of induction charging, an additional IR Camera, a mic and speaker and possibly LIDAR. FYI... I painting mine white before I put it together. Ultimately I will 3D printing a cute looking bot shell for this.

## Features

- 【Smart Robot for Adults】Jetbot robot is a DIY multi-function tank AI education robot based on NVIDIA Jetson Nano A02 or B01. Robotic combine with NVIDIA Jetson Nano to truly lower the threshold of artificial intelligence, which make AI interesting more suitable for learning and competition.▶▶▶Note:Jetson Nano motherboard is NOT included package. Without it you can't complete this project. Yahboom recommends 4GB A02 & B01
- 【Omnidirectional HD Camera】Jetbot has 3-dimensional camera head, which realizes up and down, left and right, front and rear control of the 800w HD camera, real-time video transmission, and obtains the first perspective of the lens.It is a pair of eyes that can be moved manually.
- 【Rich Functions and Playing Methods】If the Jetbot robot's autopilot, object tracking, face recognition, color tracking, edge detection, automatic obstacle avoidance, refuse classification and other functions can be fully utilized, your competition is very exciting and your partner will cheer for Jetbot.
- 【Offers 31 Full Open Source Code】You can implement all the functions of the robot based on the step-by-step course materials provided by Yahboom. However, this is a programmable robotic car customized for teenagers over 18+ or adults. We recommend Jetbot to the customer who have LINUX Knowledge.▶▶▶Yahboom provides technical support,pls find the contact information of technical support on the manual.
- 【Excellent Quality】High-quality matte aluminum body, strong and wearable; with 2 high-brightness seven-color LED strips for cool lighting in dark environments; Yahboom provides installation video that you can install quickly and easily.▶▶▶Installation videos can be found on the product page.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| ASIN | B07ZYJYGZ5 |
| Assembly Required | Yes |
| Batteries | 1 Product Specific batteries required. (included) |
| Batteries Included | Yes |
| Batteries Required | No |
| Colour | Multicolor, green |
| Customer Reviews | 3.8 3.8 out of 5 stars (30) |
| Date First Available | 15 April 2023 |
| Educational Objective(s) | Color Recognition |
| Included Components | jetbot robot car |
| Item Weight | 2 kg |
| Item model number | Jetbot without jetson nano |
| Language | English |
| Manufacturer | Yahboom |
| Manufacturer recommended age | 18 months - 18 years |
| Material Type(s) | Aluminium |
| Model Number | Jetbot without jetson nano |
| Number of Game Players | 1 |
| Number of Puzzle Pieces | 1 |
| Package Dimensions | 28.7 x 23.7 x 12.1 cm; 2 kg |
| Radio Control Number of Bands | 7 |
| tech_spec_battery_description_toys | Lithium-Ion |

## Product Details

- **Age Range (Description):** Adult
- **Brand:** Yahboom
- **Item Weight:** 2 Kilograms
- **Size:** Medium to Small
- **Theme:** Science Fiction

## Images

![Yahboom AI Robot for NVIDIA Jetson Nano, Coding Robotics Kit with Autopilot, Object Tracking, Face and Color Recognition - Image 1](https://m.media-amazon.com/images/I/41+leNJ0T2L.jpg)
![Yahboom AI Robot for NVIDIA Jetson Nano, Coding Robotics Kit with Autopilot, Object Tracking, Face and Color Recognition - Image 2](https://m.media-amazon.com/images/I/51FGeREA8AL.jpg)
![Yahboom AI Robot for NVIDIA Jetson Nano, Coding Robotics Kit with Autopilot, Object Tracking, Face and Color Recognition - Image 3](https://m.media-amazon.com/images/I/51R+gnqZ8WL.jpg)
![Yahboom AI Robot for NVIDIA Jetson Nano, Coding Robotics Kit with Autopilot, Object Tracking, Face and Color Recognition - Image 4](https://m.media-amazon.com/images/I/51anwWiXLxL.jpg)
![Yahboom AI Robot for NVIDIA Jetson Nano, Coding Robotics Kit with Autopilot, Object Tracking, Face and Color Recognition - Image 5](https://m.media-amazon.com/images/I/51coBq8gUsL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Review
*by B***H on 19 February 2021*

I am an online instructor in robotics and have been using the Yahboom smart car in my classes. Still, I recently had the opportunity to evaluate the new Yahboom Jetbot built on the Nvidia Jetson. Here are my observations: Robot hardware: Excellent quality! The frame and components are a considerable improvement over plastic alternatives. The Yahboom Jetbot is made from thick aluminum, which provides excellent stability and ruggedness. Jetbot tracks are well fitted and performing. The component placement is logical and compact. The only exposed wire during operation is the cable to the camera, but it is sized not to be a hazard. The only complaint I have is the OLED display has no support and could get hit and break during rough handling. Nevertheless, this is a convenient readout for visibility into the robot status when running. The camera is mounted on servos with 3 degrees of movement, tilt, pan, and raise/lower. Building the Robot: This was amazingly easy. It only took a couple of hours to assemble the entire robot. The method of marking the different hardware was brilliant and allowed for a confusion-free build. The build instructions are decent, with lots of accurate pictures to follow. Do heed the warning about placing the servos in the middle position during the build. I didn’t, and it was a pain to change later. Overall it was a fun and easy experience. Image: The image is huge and takes a long time to download. Unfortunately, Yahboom does not offer an initial image on hard storage, so prepare for a long 32 to 64GB download to get the image. Initial usage: I had some trouble getting the wifi up and running in the beginning. However, Yahboom has cleverly provided three initial connection methods (direct monitor/keyboard, wifi hotspot, or USB). A simple USB cord worked well for me. The operating system is relatively standard ubuntu, with industry-standard controls and packages, so getting it up and running once inside was easy and familiar. The remote control from an android app worked amazingly well through wifi, allowing for a quick demonstration of basic functions without programming. There are even built-in modes utilizing the AI engine in exciting ways. Software: The stock robot package is written in python and well laid out into notebooks. The built-in dev environment Jupyter Lab makes it easy to start interactively through a simple HTTP connection. The code itself seems well documented and easy to navigate in the interactive environment. While I have not yet heavily modified the code or written my own, it looks easy enough to do so. I have not yet had a chance to explore AI packages, but they seem the stock packages and should be trouble-free. Negatives: It would be nice to have a few simple sensors to augment the intelligence. The design seems to be around the AI as the interface to the real world through sight, which is great for a learning tool. However, I would like to see some basic avoid sensors and distance sensors to complete the robot ensemble. The documentation of the software can be a bit confusing at times. It seems to have been updated, and some references are misprinted. The initial hotspot for the wifi connection didn’t work from the Yahboom image, but the other methods worked perfectly. The wifi antennas were a bit looser than I’d like to see and difficult to attach firmly to the body, but not a serious concern. Overall, this is an amazingly sturdy and capable robot in hardware and software. The intelligence capabilities are impressive. This is built onto a solid performing body that truly makes it a mobile intelligence device. The tools and interfaces are reasonably simple, given the capability. This robot will make a great platform to teach robotics and AI both separately and together. Teaching AI tends to be low-enjoyment book learning without a real-world interface. What better interface than a working robot! Dave Salch

### ⭐⭐⭐⭐⭐ Review
*by T***N on 6 March 2021*

This is an excellent kit. The design is pretty good and it's far sturdier than I expected. I have completed the basic hardware and software setup. Documentation was good I thought. So far I have had a bad SD card. I bought a new one and we will see if support sends me a replacement. Though I initially had some problems with other hardware, I completely charged my battery and reset all my hardware connections and all is working fine now. I plan on adding some additional servos, some method of induction charging, an additional IR Camera, a mic and speaker and possibly LIDAR. FYI... I painting mine white before I put it together. Ultimately I will 3D printing a cute looking bot shell for this.

### ⭐⭐⭐⭐ Review
*by J***S on 14 December 2020*

Seems to be sturdy, but be ware of the MF85ZZ flange bearings in the drive wheel assemblies as they can be easily broken if the installation is over tightened(replacements can be found here on Amazon). Easy to assemble, seems to be a great platform for an intro to robotics & AI via Nvidia Jetson.

## Frequently Bought Together

- Yahboom Jetson Nano Robot Kit AI Smart Robotic Car Tank Chassis for Adults 3DOF Camera STEM Programmable Electronics Science Project Autopilot (Jetbot Without Jetson Nano)
- Waveshare AC8265 Wireless NIC Module for Jetson Orin Nano/NX Supports 2.4GHz / 5GHz Dual Band WiFi and Bluetoth 4.2
- Wireless-AC8265 Dual Mode AC8265 Wireless NIC Module for Jetson Nano Developer Kit B01/A02, Support 2.4GHz/5GHz 300Mbps/867Mbps Dual Band WiFi and Bluetooth 4.2

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*Product available on Desertcart Singapore*
*Store origin: SG*
*Last updated: 2026-01-24*