Yahboom Transbot-SE

Yahboom Transbot-SE Tank Chassis Robot: AI Camera ROS Starter Kit Instruction Manual

Model: Transbot-SE (YB-A089)

Brand: Yahboom

1. Introducció

The Yahboom Transbot-SE Tank Chassis Robot is an advanced educational and development kit designed for artificial intelligence projects. It is built upon the Robot Operating System (ROS) and supports programming in Python and C++. This kit facilitates various AI vision recognition and visual control operations, making it suitable for both beginners and advanced users in ROS and AI vision development, particularly for projects involving Jetson Nano and Raspberry Pi.

Yahboom Transbot-SE Tank Chassis Robot with robotic arm and camera

Figure 1.1: The Yahboom Transbot-SE Tank Chassis Robot.

2. Informació de seguretat

3. Què hi ha a la caixa

The Transbot-SE kit includes various components necessary for assembly and operation. Please verify all items are present upon unboxing.

Detailed packing list of Yahboom Transbot-SE components

Figura 3.1: Complet view of all components included in the Transbot-SE kit.

Components not included in the Yahboom Transbot-SE kit, such as the main development board

Figure 3.2: Components typically not included, such as the main development board (Jetson Nano or Raspberry Pi).

4. Instruccions de muntatge

The Transbot-SE is a DIY product requiring assembly. Detailed video instructions are available from Yahboom to guide you through the process. Ensure all components are correctly installed before powering on the device.

4.1. Chassis and Robotic Arm Assembly

The kit features a high-quality aluminum alloy off-road chassis. Follow the provided video instructions for assembling the tank tracks, chassis, 3DOF robotic arm, and 2DOF camera gimbal.

Yahboom Transbot-SE robot next to its packaging

Figure 4.1: The Transbot-SE robot with its packaging, illustrating the assembled state.

Detallada view of the Transbot-SE's track differential structure, camera PTZ, 520 motor, 3DOF robotic arm, aluminum alloy material, and high capacity battery pack

Figure 4.2: Key structural features of the Transbot-SE, including the track system, camera PTZ, motors, robotic arm, and battery.

4.2. Instal·lació de la bateria

The robot is powered by a 12V 4400mAh rechargeable battery pack. Ensure correct polarity when inserting the batteries into the battery module. Do not reverse the poles. The battery module is typically located within the chassis.

Video 4.1: Battery installation for a similar UGV robot. This video demonstrates the process of installing batteries and securing the chassis plate.

5. Setup and Software Installation

The Transbot-SE is compatible with NVIDIA Jetson Nano and Raspberry Pi development boards. The specific setup process will depend on your chosen development board.

Yahboom Transbot-SE showing compatibility with Jetson Nano, Raspberry Pi 5, and PC

Figure 5.1: Compatibility of Transbot-SE with Jetson Nano, Raspberry Pi, and PC for development.

5.1. Expansion Board Connection

The versatile expansion board allows for deep development and connects to the main development board. Ensure all connections are secure.

Diagram of the expansion board function distribution with numbered components

Figure 5.2: Detailed layout and function distribution of the expansion board.

5.2. Software Environment

The robot is developed based on the ROS system and can be programmed using Python and C++. Comprehensive documentation and technical support are provided by Yahboom for setting up the development environment.

Video 5.1: AI Visual Recognition ROS Starter Robot Kit overview. This video demonstrates the robot's capabilities and programming environment.

6. Instruccions de funcionament

The Transbot-SE offers multiple methods for control and interaction, allowing for flexible operation in various scenarios.

6.1. Opcions de control remot

The robot can be controlled via:

Four images showing different control methods for the Transbot-SE: Yahboom App, Gamepad, Jupyter Lab web page, and ROS system control.

Figure 6.1: Various control methods for the Transbot-SE, including mobile app, gamepad, and web-based programming.

6.2. AI Vision and Robotic Arm Functions

The integrated AI camera and robotic arm enable a wide range of intelligent functions:

Six panels illustrating the functions of the Transbot-SE: Face Recognition, Robotic Arm Grabbing, Target Detection, Gesture Recognition, Color Tracking, and Autopilot.

Figura 6.2: Mésview of the AI vision and robotic arm functions.

Multiple panels showing advanced AI visual gameplay, multi-vehicle formation, gesture recognition, Movelt robotic arm control, and deep learning applications.

Figure 6.3: Advanced AI visual functions and programming capabilities.

Video 6.1: Raspberry Pi G1 Tank Robot Car Kit Feature Preview. This video showcases various features and movements of a Yahboom tank robot.

7. Manteniment

To ensure the longevity and optimal performance of your Transbot-SE robot, regular maintenance is recommended:

8. Solució De Problemes

If you encounter issues with your Transbot-SE, refer to the following common troubleshooting steps:

For further assistance, please contact Yahboom technical support.

9. Especificacions

Below are the technical specifications for the Yahboom Transbot-SE Tank Chassis Robot:

CaracterísticaDetall
Dimensions del producte2.1 x 2 x 1.5 polzades
Pes de l'article5.7 lliures
Número de model de l'articleYB-A089
Edat recomanada pel fabricant18 anys i més
Bateries2 x 12V 4400mAh (included)
Main Control Board CompatibilityRaspberry Pi 5, Jetson Nano SUB (depending on version)
Llenguatge de programacióPython / C++
Material del cosAnodized powder coated aluminum alloy
Braç robòtic3DOF (degrees of freedom)
Càmera PTZ2DOF (degrees of freedom)
Diagram showing Transbot SE size parameters and product parameters table

Figure 9.1: Detailed size and product parameters for Transbot-SE.

Diagram showing 3DOF robotic arm parameters including dimensions and servo specifications

Figure 9.2: Specifications and dimensions of the 3DOF robotic arm.

Diagram showing 2DOF camera PTZ size parameters, HD camera parameters, and metal digital servo parameters

Figure 9.3: Specifications for the 2DOF camera PTZ and its associated components.

Diagram showing 520 encoder motor parameters and Lithium battery pack parameters

Figure 9.4: Specifications for the 520 encoder motors and the Lithium battery pack.

10. Garantia i Suport

Yahboom provides comprehensive documentation and technical support for the Transbot-SE DIY product. For any questions or assistance, please contact the seller or technical support team promptly.

Documents relacionats - Transbot-SE

Preview Yahboom Transbot Robot User Manual and Installation Guide
Comprehensive guide to assembling, installing, and operating the Yahboom Transbot robot. Includes packing lists, step-by-step instructions, wiring diagrams, software setup, and detailed explanations of app control features.
Preview Yahboom Pico Robot Car: Features, Functions, and Programming Guide
Explore the Yahboom Pico Robot Car, powered by Raspberry Pi Pico and MicroPython. Discover its extensive features including APP control, various sensors for line tracking, obstacle avoidance, voice control, and more. This guide details its hardware, software, and course content.
Preview Yahboom ROSMASTER X1 / X3 Robot Assembly and User Manual
Comprehensive assembly guide and user manual for the Yahboom ROSMASTER X1 and ROSMASTER X3 robot kits, covering component identification, step-by-step assembly, board interfaces, software setup, and application functions.
Preview Yahboom Arduino Batmobile: Graphical Programming Tutorials
Learn to program the Yahboom Arduino Batmobile robot car with graphical tutorials. This guide covers LED control, buzzer sounds, sensors, motor control, line following, obstacle avoidance, and more.
Preview Kit de sensors WOM Yahboom per a BBC micro:bit: manual d'usuari i models de construcció
Guia completa del kit de sensors Yahboom WOM per a BBC micro:bit, que inclou la llista d'embalatge, les introduccions als mòduls, la construcció de models, els tutorials i les instruccions de seguretat. Apreneu a utilitzar diversos sensors i a construir diferents models.
Preview Yahboom Raspblock AI Smart Robot Car for Raspberry Pi 4B | Omnidirectional AI Platform
Explore the Yahboom Raspblock, an AI omnidirectional mobile smart car based on the Raspberry Pi 4B. Features include advanced AI functions, 360° Mecanum wheel movement, FPV capabilities, and Python programming via Jupyter Lab.