Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
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Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Help you quickly build your own balancing car project.
Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard)
Nº de artículo: 209947323

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

Nº de artículo: 209947323

USD 207

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What Stands Out

Advanced SLAM
Equipped with sophisticated SLAM capabilities, enabling precise mapping and navigation in various environments, making it ideal for robotics enthusiasts and educational purposes.
AI Visual Recognition
Features cutting-edge AI visual recognition for enhanced image processing, allowing users to implement advanced projects in artificial intelligence and machine learning.
Dual-Wheel Design
The innovative 2WD self-balancing design ensures stability and agility, making it versatile for both indoor and outdoor explorations while providing an engaging learning experience.

Detalles de producto

Shop Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car SLAM Mapping Navigation STM32,AI Visual Recognition Image Processing(VM Not Support MAC) (Ver Standard) online at a best price in Puerto Rico. B0DTNZTWGZ
  • The MicroROS balancing car integrates STM32 and ESP32 dual processors, equipped with a metal chassis, a high-power reduction motor and 6-axis IMU attitude sensor. It can not only achieve 4KG load balance and easily cope with the challenge of climbing, but also achieve obstacle avoidance or following functions through the ultrasonic module, and the OLED screen can display data in real time.
  • Equipped with TOF radar and ROS image transmission module, it supports wireless transmission of key sensor data such as radar, odometer, camera image to the virtual machine system through MicroROS, and the virtual machine performs complex computing tasks to realize radar mapping navigation and AI visual interaction applications. Help you quickly build your own balancing car project.
  • Provides mapping navigation APP (Android/iOS) and Bluetooth control APP (Android). You can directly view the mapping screen and camera screen on the APP; the main control interface can observe the movement status of the balancing car at any time. 5 basic gameplays, posture recognition, with a six-axis IMU, to achieve automatic balance; adopts a three-layer structure, effective load 4KG, while carrying weight can still be remotely controlled.
  • Interconnected control enables multi-machine formation. Under the same map, multiple robots complete single-point navigation and multi-point navigation, dynamic obstacle avoidance; multi-machine keyboard control.
  • What can you learn? The balance car is easy to assemble, suitable for teenagers to get some hands-on experience and learn basic programming knowledge. Professional robot enthusiasts can also enjoy it by customizing and adding more functions to this kit. We provide detailed code in English, source code, if you have any problems in use, please contact us for technical help.
Brand NameYahboom
Toy Figure TypeInteractive Gaming Figure
characterself balancing car
Manufacturer Minimum Age (MONTHS)192
Model NameMicroROS Balance Car
Model NumberMicroROS Balance Car
Manufacturer Maximum Age (MONTHS)480
Manufacturer Part NumberMicroROS Balance Car
Age Range Description16+
Included ComponentsBalance Car, ROS wifi camera, TOF Lidar
ManufacturerYahboom
ThemeScience Fiction
ColorVer Standard
Is Assembly RequiredNo
Are Batteries RequiredYes
Number of Batteries2 A batteries required. (included)
Material TypeAluminum
Item Dimensions L x W x H1.4"L x 1.3"W x 1.2"H (3.6 x 3.3 x 3 cm)
Item Dimensions1.4 x 1.3 x 1.2 inches (3.6 x 3.3 x 3 cm)

What's in the box

Balance Car

TOF Lidar

ROS wifi camera

Who Should Buy?

Suitable For
  • Robotics Enthusiasts

    Ideal for hobbyists and professionals wanting to explore robotics through hands-on experience and experimentation.

  • Educational Purposes

    Great for teaching robotics and programming concepts in schools and universities through practical applications.

  • Developers and Researchers

    Useful for those involved in developing new algorithms in AI and robotics, thanks to its ROS2 support.

Not Suitable For
  • Beginners

    May not be suitable for complete novices as it requires some understanding of robotics and programming.

  • Mac Users

    Not recommended for users on Mac as the virtual machine does not support Mac environments.

  • Casual Users

    Not ideal for casual users looking for simple toys; it requires dedication and technical knowledge to operate.

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Preguntas y respuestas de los clientes

  • Pregunta: What devices does the mapping navigation app support?

    Respuesta: The app supports both Android and iOS devices.
  • Pregunta: Can multiple robots work together using this product?

    Respuesta: Yes, it allows interconnected control for multi-machine formation and navigation.
  • Pregunta: Is technical support available if I encounter issues?

    Respuesta: Yes, we provide technical help and detailed code in English for users.

Yahboom Radar Detectors MicroROS Balance Car Editorial Review

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USD 207

Haz tu pedido ahora y recíbelo por ahí Sábado, Agosto 01

QTY:

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características y beneficios

  • Integrates STM32 and ESP32 dual processors for enhanced performance.
  • Supports a 4KG load capacity while maintaining balance and functionality.
  • Features obstacle avoidance and following functions with ultrasonic module.
  • Real-time data display on an OLED screen for better control.
  • Includes a user-friendly mapping app for Android/iOS and Bluetooth remote control.
  • Ideal for teens to learn programming and for hobbyists to customize features.

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