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

87% of respondents would recommend this to a friend

Nº de artículo: 209947323

DOP 13615

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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 Dominican Republic. B0DTNZTWGZ
Brand NameYahboom
Toy Figure TypeInteractive Gaming Figure
characterself balancing car
Model NameMicroROS Balance Car
Model NumberMicroROS Balance Car
Age Range Description16+
Included ComponentsBalance Car, ROS wifi camera, TOF Lidar
ManufacturerYahboom
Manufacturer Part NumberMicroROS Balance Car
Manufacturer recommended age16 years and up
ThemeScience Fiction
ColorVer Standard
StyleModern
Additional FeaturesRemote Control
Number of Batteries2 A batteries required. (included)
Play Activity LocationTabletop
Recommended Uses For ProductSTEM education, robotics development, university research projects, learning programming, building self-balancing car projects
Educational ObjectiveLearn basic programming knowledge and gain hands-on experience in robotics, SLAM mapping navigation, and AI visual interaction through assembling and customizing the self-balancing car kit.
Operation Modeautomatic
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.

DESCRIPCIÓN DEL PRODUCTO

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Preguntas y respuestas de los clientes

  • Pregunta: What features does Yahboom MicroROS Robot 2WD offer?

    Respuesta: The Yahboom MicroROS Robot 2WD includes advanced features such as self-balancing technology, SLAM mapping capabilities, and AI visual recognition. This two-wheeled car utilizes ROS2 for robust navigation and can process images intelligently. These features allow users to create intricate navigation tasks and conduct real-time environment mapping. Ideal for educational purposes, hobbyist projects, and prototype development, this robot enhances learning in robotics, coding, and AI, catering to both beginners and advanced users alike.
  • Pregunta: What programming environments are compatible with this robot?

    Respuesta: The Yahboom MicroROS Robot is primarily designed to work with the ROS2 framework, maximizing its versatility for advanced robotics programming. While the robot is equipped to support STM32 microcontrollers for programming, please note that, currently, virtual machines do not support MAC environments. This makes it particularly suitable for users on Windows or Linux systems who want to develop robotic applications easily. Whether you're working on a personal project, an educational setup, or research, this robot's compatibility ensures you're well-equipped for all programming challenges.
  • Pregunta: What applications can I use the Yahboom MicroROS Robot for?

    Respuesta: You can leverage the Yahboom MicroROS Robot for various applications, including educational robotics, research projects, and hobbyist exploration. Its SLAM mapping capability allows for autonomous navigation through complex environments, making it perfect for projects in robotics competitions or smart home automation experiments. The AI visual recognition can be employed in security, surveillance, and even interactive installations. Its versatility makes it a valuable tool for anyone interested in technology and innovation.
  • Pregunta: Can the Yahboom MicroROS Robot be customized?

    Respuesta: Yes, the Yahboom MicroROS Robot is highly customizable to suit various project needs. Users can modify its coding and hardware components according to specific requirements. Whether you want to add additional sensors or modify the programming for unique tasks, the robot is designed to be adaptable. This flexibility encourages creativity and innovation, making it ideal for education, research, or hobby projects. Users often share their modifications to inspire others, enhancing community engagement.
  • Pregunta: Is assembly required for the Yahboom MicroROS Robot?

    Respuesta: Yes, the Yahboom MicroROS Robot typically requires assembly, making it a hands-on project for builders and tech enthusiasts. Assembly involves following detailed instructions provided in the user manual, helping users familiarize themselves with the components and functionalities of the robot. This process not only enhances understanding of robotics but also nurtures problem-solving skills. It's an engaging way for users to learn and experiment with robotics before diving into coding and programming.
  • Pregunta: What kind of sensors does the Yahboom MicroROS Robot have?

    Respuesta: The Yahboom MicroROS Robot is equipped with a range of sensors, including distance sensors, cameras for image processing, and gyroscopes for balance. These sensors work together to facilitate autonomous navigation and obstacle avoidance. The integration of AI visual recognition allows the robot to process visual data in real time. Users can take advantage of these sensors for educational purposes, robotics competitions, or prototyping to enhance robotics projects and solutions effectively.
  • Pregunta: How does the self-balancing feature work?

    Respuesta: The self-balancing feature of the Yahboom MicroROS Robot operates using a combination of sensors and algorithms that maintain its upright position. It continuously monitors its angle and adjusts the motors accordingly to correct any imbalance. This technology is crucial for the robot's navigation capabilities, allowing it to traverse uneven surfaces. Users interested in robotics can experiment with this mechanism by incorporating different weights or attachments to understand the balance equations in play.
  • Pregunta: What educational resources are available for using the Yahboom MicroROS Robot?

    Respuesta: There is a wealth of educational resources available for the Yahboom MicroROS Robot, including online tutorials, community forums, and coding examples. Many users share their experiences and projects, making it easier for newcomers to learn. The community-driven aspect fosters collaboration and innovation, allowing users to fix problems together, learn new techniques, or participate in competitions. Whether you’re a student or an educator, these resources can significantly enhance your robotics learning experience.
  • Pregunta: What is the maximum speed of the Yahboom MicroROS Robot?

    Respuesta: The Yahboom MicroROS Robot can achieve a maximum speed of around 0.5 to 1 meter per second, depending on the programming and surface conditions. This speed is optimal for testing navigation algorithms and obstacle avoidance strategies, allowing for effective experimentation. Users can adjust speed settings through code to match specific requirements for tasks or competitions. This versatility makes it suitable for both controlled environments and dynamic settings.
  • Pregunta: Where can I buy Yahboom MicroROS Robot 2WD in Dominican Republic?

    Respuesta: You can purchase the Yahboom MicroROS Robot 2WD Self Balancing ROS2 Two-Wheeled Car from Ubuy in Dominican Republic. Ubuy offers an extensive range of electronic products, ensuring a reliable option for acquiring your robot. Their platform is user-friendly and provides detailed product descriptions, reviews, and ratings, helping you make an informed decision. Whether you're looking for educational tools, research devices, or personal projects, Ubuy is a go-to site for your robotics needs.

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Customer Reviews & Ratings

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ventajas

  • Easy to assemble
  • Advanced navigation features
  • Supports AI visual recognition
  • Great for learning ROS2
  • Stable self-balancing design

Contras

  • Doesn't support MAC OS.

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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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