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Item #:
95848876
HIWONDER Robot Car with ChatGPT Large AI Models, 3D Depth Camera Ackermann Chassis ROS2-HUMBLE Lidar SLAM Mapping Navigation Autonomous Driving,
Item #:
95848876
BDT 73456
Price Details
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*All items will import from US
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Imported from USA store
QTY:
Order now and get it around Wednesday, August 26
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MentorPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
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What Stands Out
Advanced Depth Camera
Equipped with a cutting-edge 3D depth camera, it enables precise obstacle detection and enhances navigational capabilities, making it ideal for complex environments.
ROS2-HUMBLE Support
Compatible with ROS2-HUMBLE, offering robust support for robotics programming, ensuring flexibility for developers to implement sophisticated algorithms for autonomous driving.
SLAM Technology
Incorporates advanced SLAM mapping technology, allowing for real-time navigation and environment mapping, which enhances the robot's ability to operate independently in diverse locations.
Product Details
| Brand Name | HIWONDER |
| Age Range Description | Adult |
| Model Name | Standard, RPi5 4GB |
| Batteries are Included | No |
| Included Components | MentorPi M1 Robot |
| Number of Items | 1 |
| Manufacturer Minimum Age (MONTHS) | 192.00 |
| Model Number | Standard, RPi5 4GB |
| Unit Count | 1.0 Count |
| Manufacturer Maximum Age (MONTHS) | 840.00 |
| Manufacturer Part Number | With Raspberry Pi 5 4GB |
| Manufacturer | Hiwonder |
| Power Source | Battery Powered |
| Additional Features | light |
| Operation Mode | remote control, self-propelled |
| Are Batteries Required | No |
| Is Assembly Required | No |
| Educational Objective | To teach autonomous driving, robotics, and AI development concepts including SLAM mapping, path planning, vision recognition, and human-robot interaction. |
| Toy Vehicle Form | Car |
| Color | Black |
| Theme | Science Fiction |
| Subject Character | Robot Car |
| Item Dimensions | 16.14 x 8.66 x 7.09 inches (41 x 22 x 18 cm) |
| Material Type | Aluminum |
| Country of Origin | This item will be imported from US |
| Date First Available | October 11, 2024 |
Who Should Buy?
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Robotics Enthusiasts
Ideal for hobbyists looking to build and program their own autonomous robot car for experimentation.
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Educational Institutions
Great for schools teaching robotics, programming, and AI, providing hands-on learning experience with advanced technology.
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Developers and Engineers
Useful for professionals working on robotics projects or SLAM algorithms, offering a solid platform for development.
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Casual Users
Not suitable for casual users who seek simple toys or basic RC cars without programming or technology involvement.
Product Description
HIWONDER Robot Car with ChatGPT Large AI Models, 3D Depth Camera Ackermann Chassis ROS2-HUMBLE Lidar SLAM Mapping Navigation Autonomous Driving, MentorPi A1 Standard Kit with Raspberry Pi5 4GB
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Answer: The delivery time of your ordered product varies as per what you've ordered and the shipping method that you've chosen. The estimated delivery time is mentioned during the checkout process, so be carefree while shopping.
HIWONDER Robots Standard, RPi5 4GB Editorial Review
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Pros
- Advanced SLAM mapping capabilities
- High-quality 3D depth camera
- Compatible with ROS2-HUMBLE
- Sturdy Ackermann chassis design
- Great for educational purposes
Cons
- Setup may be complex for beginners
Product Price History
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BDT 73456
Order now and get it around Wednesday, August 26
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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Features & Benefits
- Powerful Raspberry Pi 5 controller for advanced computing.
- Compatible with ROS2, ideal for AI and robotics projects.
- Supports Mecanum-wheel and Ackermann chassis for versatility.
- High-performance hardware with encoder motors and lidar for precise navigation.
- Advanced AI capabilities including SLAM mapping and vision recognition.
- Enables autonomous driving features through deep learning.
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