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Item #:
249236261
ROS2 Robot Car for RaspberryPi ChatGPT Large AI Model Programmable AI Vision Robot Ackermann Chassis SLAM Mapping Auto Driving Voice Control, Python
84% of respondents would recommend this to a friend
Item #:
249236261
ZMW 22390
Price Details
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MentorPi smart robot car, empowered by Raspberry Pi 5 and ROS2, transforms your AI projects with advanced features like SLAM mapping, 3D vision, and obstacle avoidance.
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What Stands Out
Advanced AI Vision
Equipped with large AI model capabilities, this robot car delivers exceptional visual recognition and processing, allowing for highly efficient autonomous driving and real-time environmental interaction.
Programmable Flexibility
Designed for Raspberry Pi, users can easily program the robot using Python, facilitating custom projects and expansions for both learning and practical applications in robotics and AI.
Voice Control
Incorporating innovative voice control features, this robot allows users to interact naturally, enhancing the user experience and enabling hands-free operation during demonstrations or complex tasks.
Product Details
| Brand Name | LewanSoul |
| Model Name | LW-MentorPi-D-A158 |
| Unit Count | 1 Count |
| Model Number | LW-MentorPi-D-A158 |
| Edition | Standard, RPi5 8GB |
| Number of Packs | 1 |
| Model Series | MentorPi |
| Age Range Description | Adult |
| Included Components | MentorPi A1 Robot Car |
| Item Type Name | Smart Robot Car |
| Manufacturer | Hiwonder |
| Manufacturer Part Number | MentorPi-D-A158 |
| Set Name | Standard, RPi5 8GB |
| Manufacturer recommended age | 16 years and up |
| Color | Black |
| Collection Name | All |
| Style | Modern |
| Additional Features | Programmable AI & Autonomous Driving Capabilities |
| Number of Batteries | 1 Lithium Polymer batteries required. (included) |
| Play Activity Location | Floor |
| Recommended Uses For Product | Educational and Developmental Activities |
| Educational Objective | Programming Skills |
| Number of Players | 1 |
| Operation Mode | Automatic |
| Material Type | Aluminum |
| Outer Material | Aluminum |
| Size | With RPi 5 8GB |
| Item Dimensions | 6.7 x 5.8 x 8.4 inches (17 x 14.7 x 21.3 cm) |
Who Should Buy?
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Robotics Enthusiasts
Ideal for hobbyist programmers who enjoy building and experimenting with advanced robotic systems using Python and AI.
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Educational Institutions
Perfect for universities and schools teaching robotics and programming, providing hands-on learning experiences in AI and SLAM.
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Research Developers
Great for researchers focusing on AI robotics, providing a platform for developing and testing algorithms in real time.
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Casual Users
Not suitable for individuals seeking a simple remote control car experience without programming knowledge or technical skills.
Product Description
ROS2 Robot Car for RaspberryPi ChatGPT Large AI Model Programmable AI Vision Robot Ackermann Chassis SLAM Mapping Auto Driving Voice Control, Python Robotic for Adult, MentorPi A1 Standard & RPi5 8G
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What is a Robot Car for Raspberry Pi 5?
Answer: A Robot Car for Raspberry Pi 5 is an innovative robotic platform designed for educational and experimental purposes. It integrates with the Raspberry Pi 5 and utilizes the Robot Operating System (ROS2) to enable programmable control and functions. This kit allows users to explore autonomous driving through advanced programming techniques. It is especially useful for students and hobbyists interested in robotics, AI vision systems, and Lidar mapping. -
Question:
How does the Lidar SLAM mapping work in this Robot Car?
Answer: Lidar SLAM (Simultaneous Localization and Mapping) technology enables the Robot Car to create a map of its environment while tracking its position within that space. It uses laser sensors to scan the surroundings, collecting distance measurements to build real-time maps. This feature is crucial for developing autonomous navigation systems and is ideal for robotics courses, DIY projects, or advanced engineering experiments. -
Question:
What programming skills are required to use the Robot Car?
Answer: To effectively utilize the Robot Car for Raspberry Pi 5, familiarity with Python and basic knowledge of ROS2 is beneficial. Users should understand programming concepts and be comfortable with coding to enhance the robot’s functionality, including autonomous driving and navigation algorithms. This allows enthusiasts to engage in hands-on learning, making it suitable for both classroom settings and personal projects. -
Question:
Can I integrate AI vision capabilities into the Robot Car?
Answer: Yes, the Robot Car is designed for integration with AI vision algorithms. By connecting compatible cameras and leveraging computer vision libraries, users can program the robot to recognize objects, navigate through environments, or perform specific tasks based on visual inputs. This opens up a range of practical applications, from robotic competitions to research in AI and machine learning. -
Question:
Is this Robot Car suitable for beginners?
Answer: While the Robot Car for Raspberry Pi 5 can cater to beginners, it’s best suited for those with some prior experience in programming and robotics. The documentation and community resources available can assist newcomers, making it a fantastic starting point for hands-on learning in robotics and AI. Beginners can learn project-based skills while exploring the capabilities of the kit. -
Question:
What is Ubuntu ROS2 Humble, and why is it used?
Answer: Ubuntu ROS2 Humble refers to a specific operating system setup that combines Ubuntu Linux with ROS2, a robotics middleware framework. It provides an optimal environment for running robotic applications, facilitating tasks like communication between components, sensor integration, and algorithm deployment. This combination is beneficial for robust robot functionality, allowing users to harness advanced, open-source tools in their projects. -
Question:
What are the potential applications for this Robot Car?
Answer: The Robot Car can be used for various applications including autonomous navigation, robotics education, AI experimentation, and hobbyist projects. Schools can use it to teach programming and robotics, while hobbyists may build custom applications for smart homes or robotic competitions. Its versatility makes it a valuable tool for developing real-world skills in technology and engineering. -
Question:
Does the kit come with all necessary components?
Answer: Yes, the Robot Car for Raspberry Pi 5 kit typically includes most necessary components such as the chassis, motors, Lidar sensor, and assembly hardware. However, certain components may need separate purchase depending on the complexity of desired projects, such as specific cameras or advanced modules. Users are encouraged to check the kit contents upon purchase to ensure they have everything needed for assembly. -
Question:
What kind of technical support is available for this product?
Answer: Technical support for the Robot Car can be accessed through various channels including online forums, official documentation, and community groups dedicated to Raspberry Pi and ROS. Many users share their experiences and solutions, making it easier to troubleshoot issues. Engaging in these communities is highly encouraged as it aids in enhancing skills and solving challenges faced during projects. -
Question:
Where can I buy the Robot Car for Raspberry Pi 5 in Zambia?
Answer: You can buy the Robot Car for Raspberry Pi 5 ROS2 Humble Ubuntu Programmable AI Vision Smart Robot Kit from Ubuy in Zambia. Ubuy offers a wide selection of electronic components and kits, ensuring you receive a genuine product along with access to customer service should you have any questions about your purchase.
LewanSoul Robots LW-MentorPi-D-A158 Editorial Review
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ZMW 22390
Order now and get it around Wednesday, September 23
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Features & Benefits
- Features high-speed encoder motors and advanced Lidar for SLAM mapping.
- Equipped with a 3D depth camera for enhanced AI visual functions.
- Compatible with Raspberry Pi 5 and ROS2 for versatile AI robot development.
- Includes YOLOv5 training for road sign and traffic light detection.
- Durable design with premium materials ensures extended service life.
- Ideal for both beginners and professionals in AI and robotics.
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