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Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32, Image Processing AI Visual Recognition (VM Not Support MAC) (Ultimate Version)
The MicroROS balancing car combines the advantages of traditional balancing cars with the capabilities of the robot operating system (ROS), providing an ideal platform for robot development and learning.
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32, Image Processing AI Visual Recognition (VM Not Support MAC) (Ultimate Version)
Item #: 171307221

Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32, Image Processing AI Visual Recognition (VM Not Support

Item #: 171307221

GHS 4329

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The MicroROS balancing car combines the advantages of traditional balancing cars with the capabilities of the robot operating system (ROS), providing an ideal platform for robot development and learning.
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What Stands Out

Advanced Navigation
Equipped with SLAM (Simultaneous Localization and Mapping) capabilities, this robot navigates complex environments with precision, making it ideal for educational and research purposes.
Image Processing AI
Incorporates sophisticated AI visual recognition, enabling real-time processing for object detection and analysis, providing enhanced interaction in robotic projects and applications.
Robust Development Platform
Supports extensive ROS2 frameworks, offering developers a versatile environment for custom applications, ensuring compatibility with various projects beyond basic functionalities.

Product Details

Shop Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32, Image Processing AI Visual Recognition (VM Not Support MAC) (Ultimate Version) online at a best price in Ghana. B0DTQ1SF8P
Brand NameYahboom
Minimum Age Recommendation144
Model NameMicroROS-Balance-Car
Model NumberMicroROS-Balance-Car
Country Of OriginChina
Maximum Age Recommendation960
Included ComponentsMicroROS Balance Car
ManufacturerYahboom
Manufacturer Part NumberMicroROS-Balance-Car02
Item Dimensions L x W x H21L x 24W x 18H centimetres
Item Dimensions21 x 24 x 18 centimetres
ColourUltimate Version
Is Assembly RequiredYes
Special FeaturesRemote Control
Are Batteries RequiredYes
Number of Batteries1 9V batteries required.
Play Activity LocationFloor
Recommended Uses For Productrobot development, educational projects, learning programming, SLAM mapping navigation, AI visual interaction
Educational ObjectiveTo provide hands-on experience in robotics, programming, and AI visual recognition, enabling users to learn basic programming knowledge, customize robot functions, and understand concepts like SLAM mapping navigation and dual-processor integration.
Operation Modeautomatic
Material TypeAluminium
Outer MaterialAluminium

Product Description

Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32, Image Processing AI Visual Recognition (VM Not Support MAC) (Ultimate Version)

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Customer Questions & Answers

  • Question: What is the weight capacity of the MicroROS balancing car?

    Answer: It can balance a load of up to 4kg.
  • Question: What kind of app support does the MicroROS balancing car provide?

    Answer: It offers a mapping navigation app and a Bluetooth control app for Android and iOS.
  • Question: What are the key features of the MicroROS balancing car?

    Answer: The key features include obstacle avoidance, climbing capability, real-time data display, and compatibility with ROS for advanced robotics development.

Yahboom Robots MicroROS-Balance-Car Editorial Review

Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32, Image Processing AI Visual Recognition VM Not Support MAC Ultimate Version is an innovative educational tool designed for robotics enthusiasts. This remote-controlled robot car features an aluminum construction, ensuring durability while facilitating hands-on experience in programming and AI visual recognition. The product is ideal for engaging with concepts such as SLAM mapping navigation, promoting both educational projects and robotic development. Users appreciate the automatic operation mode and the ease of learning advanced robotics principles, making it suitable for a wide age range.

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Pros

  • Durable aluminum construction
  • Ideal for educational robotics projects
  • Supports SLAM mapping navigation
  • Remote control for easy usage
  • Encourages programming skill development

Cons

  • Assembly required, may take some time

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