YahboomAI Robot for Jetson Nano Robot Operating System Robotics Arm with Astra Pro 3D Camera ROS Education Project Kit for Adults and Teens Camera Tank Chassis Touchscreen (Without Nano SUB Ver.IV)

YahboomAI Robot for Jetson Nano Robot Operating System Robotics Arm with Astra Pro 3D Camera ROS Education Project Kit for Adults and Teens Camera Tank Chassis Touchscreen (Without Nano SUB Ver.IV)

Q: I want to bring with me as a gift to a teenager. What is the box size of version 5? Thank you

thanks for your question The size of the product packaging box is 21*28*28cm, and the weight of ver v is about 7.5kg. This is an adults robot kit, not suitable for children who have no code foundation, please pay attention to the details before making a decision

Q: Do I need to buy the Nano wireless module or does that come with this kit?

Yes, jetson Nano wireless module is included in the kit, all versions only need to prepare Jetson Nano 4GB motherboard

Q: Is this an original nvidia nano?

No, this is an alternative to NVIDIA b01, there is no tf card slot, but you can use a USB stick to expand the memory, almost no difference. You can check the difference of the motherboard in this link https://www.amazon.com/dp/B09T37PPRF

Q: Is this product suitable for beginners?

If you haven't been involved in programming, I don't recommend you to use it. The product includes the Jetson nano motherboard. It is best if you own this motherboard before ordering transbot. Jetson nano is necessary, otherwise it will be a decoration. In addition, if you are willing to challenge ros, this is a good choice. Yahboom provides detailed documentation and video tutorials.

Product ID: 482635402

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📸3D Camera

🤖AI Functions

🛠️Robust Build

Frequently Bought Together

Yahboom AI Robot for Jetson Nano Robot Operating System Robotics Arm with Astra Pro 3D Camera ROS Education Project Kit for Adults and Teens Camera Tank Chassis Touchscreen (Without Nano SUB Ver.IV)

Raspberry Pi 4 Model B 2019 Quad Core 64 Bit WiFi Bluetooth (4GB)

Slamtec RPLIDAR A1M8 2D 360 Degree 12 Meters Scanning Radius LIDAR Sensor Scanner for Obstacle Avoidance and Navigation of Robots

Description

🤩 Elevate Your Robotics Game with Yahboom!

🌐 MULTI PLATFORM CONTROL - Experience seamless control through mobile apps, JupyterLab, and ROS, catering to all your programming needs.
🔧 PREMIUM HARDWARE DESIGN - Crafted with an aluminum alloy frame and advanced components for superior performance and durability.
🚀 UNLEASH YOUR CREATIVITY - Dive into the world of ROS programming with a professional-grade kit designed for makers and tech enthusiasts.
🧠 ADVANCED AI CAPABILITIES - Integrate intelligent patrol, obstacle avoidance, and color recognition for a truly interactive experience.
📚 COMPREHENSIVE LEARNING RESOURCES - Access 64 video tutorials and expert support to elevate your robotics skills and knowledge.

The Yahboom AI Robot for Jetson Nano is a cutting-edge robotics arm kit designed for both adults and teens. It features advanced AI functions, a high-quality Astra Pro 3D camera for visual mapping, and a robust aluminum frame. With multiple control methods and extensive educational resources, this kit is perfect for anyone looking to dive into the world of robotics and programming.

Specifications

Package Dimensions	43.69 x 31.5 x 31.37 cm; 140 g
Batteries	1 12V batteries required. (included)
Educational Objective(s)	Planning skill
Number of pieces	1
Assembly Required	No
Batteries Required?	No
Batteries included?	Yes
Material Type(s)	Aluminium, Metal
Colour	Without Jetson Nano Ver.iv
ASIN	B09LTZVRXG

Have a Question? See What Others Asked

I want to bring with me as a gift to a teenager. What is the box size of version 5? Thank you

Do I need to buy the Nano wireless module or does that come with this kit?

Is this an original nvidia nano?

Is this product suitable for beginners?

Reviews

S**N

The tutorial videos

Not all the tutorial videos in the link are working !!

4.03.2023

V**S

i wish the video was in english

I had issues with the IOS APP not working but that not important to me because I'm going to write my on code in python to control the robot.

16.03.2022

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