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Yahboom AI Large Model ROS2 Robot ROSMASTER A1 and Raspbot V2
CLP 879011
Price Details
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*All items will import from Estados Unidos
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The ROSMASTER A1 is not just a robot car; it's a powerhouse of AI education and research, offering stereoscopic vision, versatile movement, and advanced interaction capabilities.
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What Stands Out
Detalles de producto
| Brand Name | Yahboom |
| Style | ROSMASTER A1 and Raspbot V2 |
| Country of Origin | This item will be imported from US |
| What is in the box | Yahboom AI Large Model... For more details, please check description/product details |
| Item Weight | 10.5 lbs (4.76 kg) |
| Date First Available | August 03, 2026 |
Who Should Buy?
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Robotics Enthusiasts
Ideal for users passionate about robotics, enabling exploration of AI models and ROS2 for hands-on learning.
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Educational Institutions
Perfect for schools and universities seeking to incorporate practical robotics and AI into their STEM curriculum.
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Developers and Researchers
Designed for those developing AI applications or conducting research using advanced robotics and ROS2 frameworks.
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Casual Users
Not suitable for hobbyists who prefer simple, plug-and-play robots without the need for extensive programming.
DESCRIPCIÓN DEL PRODUCTO
Yahboom AI Large Model ROS2 Robot ROSMASTER A1 and Raspbot V2
Preguntas y respuestas de los clientes
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Pregunta:
What is the Yahboom AI Large Model ROS2 Robot ROSMASTER A1 designed for?
Respuesta: The Yahboom AI Large Model ROS2 Robot ROSMASTER A1 is designed for education and practical applications in robotics. It serves as an excellent platform for learning about AI, robotics, and programming, making it ideal for students, educators, and hobbyists. The robot is equipped with an extensive range of sensors and capabilities that facilitate various tasks, from autonomous navigation to real-time data processing, thereby providing users with hands-on experience in modern robotics technology. -
Pregunta:
How does the Yahboom ROSMASTER A1 differ from traditional robots?
Respuesta: The Yahboom ROSMASTER A1 distinguishes itself through its use of the ROS2 (Robot Operating System) framework, allowing for more sophisticated programming and enhanced collaboration between devices. This enables seamless integration of AI algorithms and advanced sensor technologies, unlike traditional robots that may have limited capabilities. This feature is particularly beneficial for advanced projects that require robust communication and adaptability in dynamic environments, providing users with a comprehensive learning experience. -
Pregunta:
Can the Raspbot V2 be used for different robotics projects?
Respuesta: Yes, the Raspbot V2 is highly versatile and can be utilized in a variety of robotics projects, from autonomous vehicles to smart IoT applications. Its programmable nature allows users to implement custom behaviors and explore different functionalities, making it suitable for beginners and experienced developers alike. Whether building a robot for a competition or creating a personal project, the Raspbot V2’s adaptability enhances its applicability in various scenarios. -
Pregunta:
What programming languages can be used with Yahboom robots?
Respuesta: Users can program Yahboom robots, including the ROSMASTER A1 and Raspbot V2, using several programming languages, prominently Python and C++. These languages are supported by the ROS2 framework, enabling users to write scripts for control and behavior programming. This multi-language support fosters broader accessibility for programmers of different skill levels, allowing educators and students to learn effectively while working on practical robot applications. -
Pregunta:
What sensors are included with the Yahboom ROSMASTER A1 and Raspbot V2?
Respuesta: Both the Yahboom ROSMASTER A1 and Raspbot V2 come equipped with various sensors, including ultrasonic, infrared, and camera modules. These sensors enable a broad range of functionalities like obstacle detection, environmental mapping, and image processing. Such features are critical for developing autonomous robots that can navigate and interact with their surroundings, assisting users in conducting experiments or deploying advanced AI algorithms effectively in real-world applications. -
Pregunta:
Is online support available for Yahboom robots?
Respuesta: Yes, Yahboom provides extensive online resources and user support for their robots. Users can access tutorials, documentation, and community forums that enhance the learning experience and assist in troubleshooting. These resources are crucial for both beginners looking to get started and experienced developers seeking advanced techniques. The supportive online ecosystem ensures that users can maximize their understanding and application of robotics principles effectively. -
Pregunta:
What is the recommended power supply for the Yahboom ROS robots?
Respuesta: The Yahboom ROS robots, including ROSMASTER A1 and Raspbot V2, typically operate on a rechargeable lithium battery, which is included in the package. This power supply is essential for providing sufficient energy for the robot's components during operation. Users should always ensure that the battery is adequately charged before use to facilitate optimal performance, especially in long-duration projects or when deploying the robot in complex tasks. -
Pregunta:
Can I upgrade the software on the Yahboom robots?
Respuesta: Yes, users have the ability to upgrade the software on Yahboom robots. This allows them to benefit from the latest features, enhancements, and security updates provided by the manufacturer. Regularly updating the software is recommended as it ensures that the robot operates with improved functionalities and remains compatible with evolving programming standards, aiding users in keeping their projects current and effective. -
Pregunta:
What educational applications are suitable for Yahboom AI robots?
Respuesta: Yahboom AI robots are particularly well-suited for educational applications in robotics, programming, and AI. They can be used in schools and universities to facilitate hands-on learning experiences where students can engage in practical courses ranging from basic programming to advanced AI implementation. Additionally, they are excellent tools for robotics clubs and workshops aimed at fostering creativity and technical skills among students of varying age groups. -
Pregunta:
Where can I buy Yahboom AI Large Model ROS2 Robot ROSMASTER A1 and Raspbot V2?
Respuesta: You can purchase the Yahboom AI Large Model ROS2 Robot ROSMASTER A1 and Raspbot V2 from Ubuy in Chile. Ubuy offers a reliable platform for obtaining these advanced robotics tools, ensuring that you have access to the latest models and resources for your projects.
Yahboom Robots Editorial Review
Customer Reviews & Ratings
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Información importante
- Limitaciones: Para los productos enviados al extranjero, ten en cuenta que cualquier garantía del fabricante puede no ser válida; las opciones de servicio del fabricante pueden no estar disponibles; los manuales del producto, las instrucciones y las advertencias de seguridad pueden no estar en los idiomas del país de destino; los productos (y los materiales que los acompañan) pueden no estar diseñados de acuerdo con las normas, especificaciones y requisitos de etiquetado del país de destino; y los productos pueden no ajustarse al voltaje del país de destino y a otras normas eléctricas (lo que requiere el uso de un adaptador o convertidor, si procede). El destinatario es responsable de asegurarse de que el producto puede ser importado legalmente al país de destino. Cuando hagas un pedido a Ubuy o a sus filiales, el destinatario es el importador registrado y debe cumplir todas las leyes y normativas del país de destino.
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CLP 879011
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características y beneficios
- Embodied intelligent robot car platform designed for ROS education and AI research.
- Integrates advanced peripherals for stereoscopic vision and precise environmental perception.
- Supports multiple control boards including Raspberry Pi and Jetson NANO series.
- Features 360° omnidirectional movement with Mecanum wheels in RASPBOT-V2.
- Equipped with advanced image recognition capabilities using OpenCV and MediaPipe.
- Offers innovative dual-model inference architecture for efficient operation and decision-making.
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