Yahboom Robot AI Python Program ROS2 Robot with RPi 5 8GB Powered Educational Robot AI Voice Module Mapping Navigation 360Movement(Pi Adv Ver-with Pi
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€ 1249
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Robotic learning kit for multiple versions: Yahboom provides 4 development board versions of ROSMASRER X3, you can freely choose jetson series development board or Raspberry Pi 4B
Consegna
veloce
Reso
gratuito*
Imballaggio sicuro
Prodotti originali al 100%
Conformità PCI DSS
Certificazione ISO 27001
Cosa salta all'occhio
Dettagli del prodotto
| Brand Name | Yahboom |
| Age Range Description | 20-50 |
| Number of Items | 1 |
| Included Components | Development board optional (robot kit cannot be started without development board), Metal suspension robot chassis, Voice module, depth camera, radar |
| Manufacturer | Yahboom |
| Theme | ROS programming |
| Material Type | Metal |
| Item Weight | 4.5 lbs (2.04 kg) |
Cosa c'è nella confezione
Development board optional (robot kit cannot be started without development board)
depth camera
radar
Voice module
Metal suspension robot chassis
A chi è consigliato?
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Educational Institutions
Ideal for schools and universities, encouraging students to learn robotics, programming, and AI in practical sessions.
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Hobbyist Programmers
Perfect for enthusiasts interested in robotics and coding, offering a hands-on experience with Python and ROS2.
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Research Projects
Useful for researchers needing a versatile platform for mapping and navigation experiments using advanced AI techniques.
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Beginners in Robotics
May be too complex for those without prior experience, requiring a basic understanding of robotics and programming.
DESCRIZIONE DEL PRODOTTO
Domande e risposte dei clienti
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Domanda:
What programming languages can I use with the Yahboom Jetson Nano Mecanum Wheel Car Robotic Kit?
Risposta: The Yahboom Jetson Nano Mecanum Wheel Car Robotic Kit primarily supports Python, which is great for beginners and widely used in robotics applications. It also supports C++ for those who prefer a more performance-oriented language. By leveraging Python, you can utilize libraries like OpenCV and TensorFlow for AI projects, enabling tasks like computer vision and machine learning. This kit is an excellent choice for education and hobby projects, allowing users to build real-world robotic applications and perform Lidar mapping and navigation functionalities. -
Domanda:
What is Lidar mapping, and how is it used in this robotic kit?
Risposta: Lidar mapping refers to the use of laser-based technology to measure distances and create high-resolution maps of the environment. In the Yahboom Jetson Nano Mecanum Wheel Car Robotic Kit, Lidar is utilized for obstacle detection and navigation. It helps the robot accurately map its surroundings and navigate through complex terrains. This technology is beneficial for projects that require environmental awareness, such as autonomous vehicles or robotic exploration, making it ideal for learning and experimentation. -
Domanda:
Can beginners use the Yahboom Jetson Nano Mecanum Wheel Car?
Risposta: Absolutely! The Yahboom Jetson Nano Mecanum Wheel Car is designed with beginners in mind, particularly those interested in learning about robotics, AI, and programming. The kit includes detailed documentation and tutorials, guiding users through assembly and programming. This makes it a perfect educational tool for students and hobbyists looking to understand advanced concepts in robotics and AI while having fun building and programming their own robot. -
Domanda:
What makes the Mecanum wheels special for this robotic kit?
Risposta: Mecanum wheels are unique in that they allow for omnidirectional movement, meaning the robot can move forward, backward, sideways, and even rotate in place. For the Yahboom Jetson Nano Mecanum Wheel Car Robotic Kit, this feature enhances maneuverability and versatility, significantly improving navigation capabilities. These wheels enable applications such as warehouse automation or surveillance, where precise movement is essential. This quality adds to the kit's educational value, as it lets users experiment with different movement algorithms. -
Domanda:
How does this kit facilitate learning Python programming?
Risposta: The Yahboom Jetson Nano Mecanum Wheel Car Kit facilitates learning Python programming through hands-on projects that involve writing code to control the robotic car. Users can interact with various sensors and modules provided in the kit, helping them to apply theoretical programming concepts practically. This experiential learning approach allows users to see the immediate impact of their code as they engage in tasks such as navigation, obstacle avoidance, and implementing AI models, which reinforces understanding and skill development. -
Domanda:
What components are included in the Yahboom Jetson Nano robotic kit?
Risposta: The Yahboom Jetson Nano Mecanum Wheel Car Robotic Kit comes equipped with essential components including the Jetson Nano board, Mecanum wheels, a Lidar sensor, various cables, and hardware for assembly. Additionally, it includes modules for power supply and connectivity. All these parts work together to create a fully-functional robotic platform that supports various learning and programming activities. This comprehensive kit lets users explore the capabilities of robotics and AI in a practical manner. -
Domanda:
Can this robotic kit be used for autonomous navigation projects?
Risposta: Yes, the Yahboom Jetson Nano Mecanum Wheel Car Robotic Kit is particularly suitable for autonomous navigation projects. Its Lidar sensor enables accurate environmental mapping, allowing the robot to detect obstacles and navigate independently. Users can implement algorithms to program the robot's behavior for tasks such as autonomous pathfinding and real-time decision-making. This makes it a valuable resource for anyone interested in developing smart robots that can operate in real-world conditions. -
Domanda:
What kind of educational projects can I do with this kit?
Risposta: With the Yahboom Jetson Nano Mecanum Wheel Car Robotic Kit, users can engage in various educational projects ranging from basic robotics to advanced AI applications. Projects can include building an obstacle-avoiding robot, creating a map of a room using Lidar data, or even programming the car to follow a specific route autonomously. Each project encourages problem-solving and creativity, promoting a deeper understanding of robotics, sensor integration, and programming concepts. -
Domanda:
Is the Yahboom Jetson Nano robotic kit compatible with other platforms or devices?
Risposta: Yes, the Yahboom Jetson Nano Robotic Kit is compatible with various platforms and devices, such as Raspberry Pi and Arduino. This compatibility allows users to integrate additional components or sensors, expanding the capabilities of their projects. This flexibility helps learners delve into more complex systems and applications while utilizing the same foundational technology. Such integration can enhance their learning experience and provide opportunities to experiment with combinations of different technologies. -
Domanda:
Where can I buy the Yahboom Jetson Nano 4GB Mecanum Wheel Car Robotic Kit?
Risposta: You can buy the Yahboom Jetson Nano 4GB Mecanum Wheel Car Robotic Kit on Ubuy, which offers a reliable shopping platform with a variety of options. Ubuy provides an efficient online shopping experience, ensuring you can easily explore and purchase this innovative robotic kit from the comfort of your home. The convenience and accessibility of Ubuy make it an excellent choice for both beginners and experienced enthusiasts looking to expand their robotics toolkit.
Yahboom Science Kits & Toys Editorial Review
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5 stella
100%
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4 stella
0%
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3 stella
0%
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2 stella
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1 stella
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€ 1249
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Conforme allo standard PCI DSS e certificato ISO 27001:2022, con pagamenti crittografati e piena protezione dell'acquirente su ogni ordine.
Caratteristiche e benefici
- Multiple versions for different development boards
- Robotic learning kit with AI capabilities
- Equipped with depth camera, lidar, and voice interaction module
- Rich course materials and professional after-sales support
- Supports multi-platform linkage for remote control
- Suitable for professionals to explore algorithms and AI applications
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