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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
COP 1133600
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from UK
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Imported from UK store
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Order now and get it around Monday, September 28
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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
| Brand Name | Yahboom |
| Minimum Age Recommendation | 144 |
| Model Name | MicroROS-Balance-Car |
| Model Number | MicroROS-Balance-Car |
| Country Of Origin | China |
| Maximum Age Recommendation | 960 |
| Included Components | MicroROS Balance Car |
| Manufacturer | Yahboom |
| Manufacturer Part Number | MicroROS-Balance-Car02 |
| Item Dimensions L x W x H | 21L x 24W x 18H centimetres |
| Item Dimensions | 21 x 24 x 18 centimetres |
| Colour | Ultimate Version |
| Is Assembly Required | Yes |
| Special Features | Remote Control |
| Are Batteries Required | Yes |
| Number of Batteries | 1 9V batteries required. |
| Play Activity Location | Floor |
| Recommended Uses For Product | robot development, educational projects, learning programming, SLAM mapping navigation, AI visual interaction |
| Educational Objective | To 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 Mode | automatic |
| Material Type | Aluminium |
| Outer Material | Aluminium |
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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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
Product Price History
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COP 1133600
Order now and get it around Monday, September 28
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Features & Benefits
- Integrates STM32 and ESP32 dual processors for enhanced performance.
- Supports a 4kg load balance, obstacle avoidance, and climbing functions.
- Equipped with TOF lidar for radar mapping navigation and AI visual interactions.
- Offers real-time data display via an OLED screen.
- Includes mobile control apps for intelligent user experiences.
- Ideal for both learning and practical robot development.
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