# TabbyBot AI Cart

<figure><img src="https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6uJvpXC43onNIIwhMlWo%2Fuploads%2FWqLWgKSLKhBPbvNKcciF%2Ftabbybot_transparent1.png?alt=media&#x26;token=c846bbd5-e3c8-4b6b-8a23-1d5c7e2205f3" alt=""><figcaption></figcaption></figure>

TabbyBot is a STEM robot car designed for MicroBit programming. It is equipped with an 18650 lithium battery, providing enough power to drive power-hungry modules such as the AI camera KOI or the ASR voice module. The board includes a charging port for convenient charging and discharging.

The car comes with various programmable resources, including white LED headlights, RGB LED lights, infrared line-following sensors, dual motors, servo drivers, and ultrasonic sensors. Additionally, it can connect to more sensors through its interfaces.

The car also features LEGO-compatible mounting holes for expanding with LEGO structural components.

### Special Features

* Basic Programming Cart for Beginners
  * Graphical Programming
  * No assembly and wiring required
* Various Programmable Resources
  * RGB Lights, Headlights, InfraRed Sensors, Twin Motors, Servo Driver, Ultrasonic Sensor
* Compatible with KOI 2
  * Applications with AI technology

### Kit Contents

* Tabbybot Chassis \*1
* Ultrasonic Senor \*1
* KOI 2 AI Camera \*1
* 18650 Lithium Battery \*1
* USB Cable \*1
* Line Tracing Map\*1
* Road Signs \*1 set
* Plastic Building Bricks \*1 set

### Kit Parameters

* Battery: 18650 Lithium Battery
* Charging: MicroUSB
* Main Controller Support: Micro:bit
* Onboard Resources: Motors \*2, White LED \*2, RGB LED\*2, InfraRed Tracker \*2、InfraRed Receiver \*1、Ultrasonic Sensor Port \*1、Servo Port \*2、3Pin IO Port \*2、4Pin IO Port \*1、I2C Port \*1

### Sample Cases

#### Scaredy Cart

<figure><img src="https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6uJvpXC43onNIIwhMlWo%2Fuploads%2FxMIi9qKZ4IloK7ixvIIw%2Fscared.gif?alt=media&#x26;token=7ff74fca-f82d-49e6-a06d-e325a07c85e5" alt=""><figcaption></figcaption></figure>

#### Light Show

<figure><img src="https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6uJvpXC43onNIIwhMlWo%2Fuploads%2FMsM2SEtho7viepqw71tO%2Flightshow.gif?alt=media&#x26;token=c753ccb1-f014-46cb-b945-1125f3f94f5b" alt=""><figcaption><p>\</p></figcaption></figure>

#### Obstacle Avoiding Cart

<figure><img src="https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6uJvpXC43onNIIwhMlWo%2Fuploads%2Fb9ZBDjSUIengo468qgat%2Fultrasound.gif?alt=media&#x26;token=f47cb96e-d5cf-441d-ba0e-b91d18bb5fcb" alt=""><figcaption></figcaption></figure>

#### Line Following Cart

<figure><img src="https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6uJvpXC43onNIIwhMlWo%2Fuploads%2FD4cMSCFNP5Tu3WFCW5nS%2Flinefollow.gif?alt=media&#x26;token=7e98626b-3d33-4f57-9120-58b3c9c5dcf1" alt=""><figcaption></figcaption></figure>

#### Ball Tracking Cart

<figure><img src="https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6uJvpXC43onNIIwhMlWo%2Fuploads%2FhasjSvMthQ2mtNLsBA9F%2Fballtracking.gif?alt=media&#x26;token=3d6b41c5-2a28-4673-8bfc-00591f58d21e" alt=""><figcaption></figcaption></figure>

#### Visual Line Follower

<figure><img src="https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6uJvpXC43onNIIwhMlWo%2Fuploads%2FddYsTT8GPKEUUxDyYqGD%2Fvisuallinefollow.gif?alt=media&#x26;token=924ff3c6-aa86-48da-b565-e5dab3723aac" alt=""><figcaption></figcaption></figure>

#### Road Sign Tracking Cart

<figure><img src="https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6uJvpXC43onNIIwhMlWo%2Fuploads%2FFJG3lSXRIcjApFqKws0c%2Froadsign.jpg?alt=media&#x26;token=c4709d31-120e-4174-821f-9b27ab2005e8" alt=""><figcaption></figcaption></figure>

a


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://sharinghub-eng.kittenbot.hk/educational-kit-sets/tabbybot-ai-cart.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.