物品 #:
188371236
Yahboom MicroROS Robot AI Visual Machine PC Control ROS2 AI Visual Recognition, SLAM Mapping Navigation Face Detection OpenCV WiFi Web Camera Module,
85% of respondents would recommend this to a friend
物品 #:
188371236
HKD 3281
Price Details
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現在訂購，約可在下列時間收貨： 星期六, 十月 03
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Robots use virtual machines as their main control system to efficiently implement ROS2 applications via microROS on resource-constrained hardware platforms.
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What Stands Out
AI Visual Recognition
Utilizes advanced AI algorithms for accurate face detection and recognition, enhancing user interaction and security, making it ideal for educational and research purposes.
SLAM Mapping
Advanced SLAM technology enables efficient navigation and obstacle avoidance, ensuring smooth operation in dynamic environments, perfect for robotics enthusiasts and developers.
App Control
The user-friendly app interface offers seamless video control and monitoring, allowing users to easily manage the robot's functions remotely, adding convenience and versatility.
產品詳情
| Brand Name | Yahboom |
| Toy Figure Type | Interactive Gaming Figure |
| character | Programming robot kit |
| Model Name | AI Visual Version |
| Model Number | AI Visual Version |
| Country Of Origin | China |
| Customer Package Type | Not Certified |
| Edition | AI Visual Version |
| Number of Packs | 1 |
| Model Series | MicroROS |
| Age Range Description | Kid |
| Included Components | microros robot |
| Manufacturer | Yahboom |
| Manufacturer Part Number | microros robot |
| Set Name | MicroROS |
| Item Dimensions L x W x H | 20L x 15W x 12.5H centimetres |
| Item Dimensions | 6.4 x 5.1 x 5.1 centimetres |
| Manufacturer recommended age | 8 - 10 years |
| Number of Pieces | 1 |
| Size | 2.5 inches (6.4 cm) |
| Scale | full-size |
| Theme | Science Fiction |
| Colour | White |
| Collection Name | MicroROS |
| Style | Modern |
| Is Assembly Required | Yes |
| Special Features | Durable |
| Are Batteries Required | Yes |
| Number of Batteries | 1 9V batteries required. (included) |
| Is Autographed | No |
| Play Activity Location | Tabletop |
| Recommended Uses For Product | Educational use, STEM learning, Robotics projects, Classroom activities, DIY robotics, Hobbyist use |
| Supported Battery Types | 7.4V large-capacity battery |
| Educational Objective | Learn ROS robot programming knowledge |
| Operation Mode | Automatic |
| Power Source | battery |
| Material Type | Aluminium |
| Outer Material | Metal |
| Finish Type | Glossy |
| Inner Material | Metal |
Who Should Buy?
-
Robotics Enthusiasts
Ideal for hobbyists seeking an engaging platform to experiment with AI and robotics technologies.
-
Educational Use
Perfect for students and educators to teach concepts of AI, robotics, and programming in a hands-on manner.
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Developers and Researchers
Useful for developers interested in building and testing AI applications with ROS2 and visual recognition capabilities.
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Casual Users
Not suited for users looking for a simple, plug-and-play robot without technical involvement.
產品敘述
Yahboom MicroROS Robot AI Visual Machine PC Control ROS2 AI Visual Recognition, SLAM Mapping Navigation Face Detection OpenCV WiFi Web Camera Module, APP Video Control
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HKD 3281
現在訂購，約可在下列時間收貨： 星期六, 十月 03
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特色和優勢
- Migration of complex computing tasks to PC virtual machine environment
- Eliminates the need for expensive devices like Jetson or Raspberry Pi
- Supports LiDAR mapping navigation, path planning, obstacle avoidance, and more
- Durable metal chassis and anodized aluminum alloy construction
- Includes practical and theoretical courses with professional technical support
- Efficiently achieves obstacle avoidance, following, mapping navigation, and multi-robot navigation
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