【Unboxing and review】--- Transbot SE AI Vision Robot Car

TRANSBOT-SE is a tracked robot car developed based on the robot operating system. The entire body is made of aluminum alloy. Equipped with a 3-DOF robotic arm and a 2-DOF camera PTZ, 520 encoder motors, and a large-capacity battery. It is compatible with Jetson Nano B01 and Raspberry Pi 4B. Built-in OpenCV image processing algorithm, MediaPipe machine learning, AI deep learning framework, and movelt simulation platform, Transbot SE can realize functions such as robot motion control, gesture recognition, object recognition, tracking, automatic driving, and robotic arm simulation control.

Packing List

Transbot SE Frame *1

Transbot SE Top Plate *1

Driven wheel *4 + bearing wheel *16

Driven shaft *2 + load-bearing column *8

Driving wheel *2

Transbot SE Track *2

3DOF robotic arm *1

2DOF camera PTZ *1

Expansion board *1

520 motor with encoder *2

Cable tie *1

Several cables

Battery pack acrylic board *1

Screwdriver *1

Battery pack *1

Battery pack charger *1

Parts package *1

Handle+AAA battery  *1

Instructions manual *1

Transbot SE coupling *2

OLED display screen+acrylic protective board+wire

L-type camera cable  *1

Velcro  *1

There are two version for choice


Jetson NANO 4GB B01 (optional)  *1

U disk  *1

M.2 wireless network cards+antennas  *1

Cooling fan  *1

Parts Package (NANO)  *1

Raspberry Pi Version

Raspberry Pi 4B (optional)  *1

RGB cooling HAT  *1

Card reader  *1

TF card  *1

Parts Package (PI)  *1

Install robot car

The car was not assembled before shipment, so we need to complete the installation according to the instructions or assembly video.

Transbot SE Tutorial Link: http://www.yahboom.net/study/Transbot-SE

Check installation video on our website. As shown below.


1. This small car adopts a white aluminum alloy structure as a whole, with a three degree of freedom robotic arm.
2. The 520 motor is paired with two black tracks.

After testing, the car can walk on different ground surfaces. Possess certain off-road capabilities.

Hardware Overview

1. Transbot SE adopt 1:56 205 ± 10rpm 520 high-power motor; 12.6V 4400mAH battery pack with longer battery life, sufficient for users to use; And multifunctional expansion board connects all the parts of the car together, assisting the car in completing a series of functions.

2. Transbot SE 2DOF camera PTZ consists of two servos and a 2MP camera module, supporting real-time transmission of all-round video images.

3. The three degree of freedom robotic arm consists of a 6KG bus servo and two 15KG bus servo, which can grip and transport objects.


Intelligent functions

Autonomous driving

Use the camera module to obtain real-time images, and analyze the scene through image processing and computer vision Analysis of algorithms to identify key elements such as roads, obstacles, traffic signs, etc.

Object handling

Three degree of freedom robotic arm can freely grip any object, and the crawler type setting of the car allows the car to achieve climbing function.

Color recognition+tracking

Acquire image -- Use the camera module to obtain real-time image data.
Image preprocessing -- Preprocess the obtained images, including adjusting brightness, contrast, noise reduction, and other operations to improve the accuracy of color recognition.
Convert Color Space -- Convert an image from RGB color space to HSV color space. Make color recognition more convenient and accurate.
Set color range -- Set the corresponding HSV color range based on the desired color to be recognized. Determine the range of colors of interest by adjusting the upper and lower limits of hue, saturation, and brightness.
Color segmentation -- Compare each pixel in the image with the set color range, mark the eligible pixels as the target color, and mark the other pixels as the background.
Target detection -- Process the marked color area through morphological operations such as corrosion and dilation to eliminate noise and connect the target area. This can obtain the position and shape of the identified target.

Programming control

The tracked car supports multiple programming languages, including Python and C++. By writing code, we can achieve precise control, such as forward, backward, turn, and various custom actions. This provides users with a vast creative space to customize the behavior of the car according to their own needs.

Yahboom provides many open source courses for users to reference.

Tutorials link: http://www.yahboom.net/study/Transbot-SE


Transbot SE is an ideal educational tool that can stimulate students' interest in science and technology. Through programming and practice, students can understand the working principles and control methods of robots, cultivate problem-solving abilities and innovative thinking. At the same time, the rich functions also provide teachers with rich teaching resources and cases.

In addition, it is also an ideal experimental platform for professional developers to conduct robot research and innovation. In addition, it can also be used in practical scenarios such as smart home control, patrol monitoring, and environmental monitoring.


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