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Yahboom Raspberry Pi 5 Embodied Intelligence Robot
14th Aug 2026, 09:42 PM

Yahboom Raspberry Pi 5 Embodied Intelligence Robot Dog Python Programmable 12DOF Mechanical Dog DOGZILLA OpenCV (S2 Without Pi)

Price may vary by location, shipping cost, and availability.
$704.00

+ $8.99
Highest: $704.00
Average: $599.12
Lowest: $572.90

Price History Graph

Offer Price Prices
Lowest: -
Average: -
Highest: -

Price History Information

You can check the price history of Yahboom Raspberry Pi 5 Embodied Intelligence Robot Dog Python Programmable 12DOF Mechanical Dog DOGZILLA OpenCV (S2 Without Pi) here. This product's current Price in USA is $704.00. The average and highest prices are $599.12 and $704.00 respectively. The current offer price of the product is $712.99.

Lowest Ever Price $572.90
26th Jul 2026
Average Price $599.12
Based on 26 days price tracking
Highest Price $704.00
14th Aug 2026

Current Price in USA

Price $704.00

Product Information

Details

Product Name Yahboom Raspberry Pi 5 Embodied Intelligence Robot Dog Python Programmable 12DOF Mechanical Dog DOGZILLA OpenCV (S2 Without Pi)
Store Product Code B0CFXDTFV8
Store Name amazon.com
Category Single Board Computers
Product Manufacturer Yahboom
Model Number DOGZILLA S2 without Pi 4B
Model Name DOGZILLA S2

Features

  • Biomimetic Technology DogDOGZILLA uses Raspberry Pi as the main controller and STM32 as the co-processor to drive the steering gear. It is equipped with a camera module and is developed based on OpenCV to realize functions such as face recognition, target tracking, QR code and color recognition.
  • Upgraded voice moduleROS robot dog integrating multimodal large model + embodied intelligence technology. Combined with vision, it excels in comprehensive perception of the environment, reasoning and action, bringing a more natural and flexible interactive experience
  • Pre-Assembled Electronic KitAfter installing Raspberry-Pi, users can control this pre-assembled robot dog with multiple built-in actions using a remote control. DOGZILLA features a one-button design and a dedicated app for real-time interaction with the robot. The robot has a robust structure with an aluminum alloy body, 12 high-precision steering gears at the joints, and durable ABS feet and silicone legs.
  • Programming & Maker EducationDOGZILLA is designed for teenagers learning robot programming, supporting the use of Python to control the robot dog and develop applications. It is suitable for education, research, algorithm verification, and entertainment. Unlimited programming possibilities help you explore, learn, and have fun.
  • Why choose DOGZILLA? If this is a pet robot dog, you can use the wireless controller to instruct it to run or sit,or you can use the APP to view the robot dog's field of view and get the dog's first-person perspective.For example,check if the light in the next room is off?Or change the existing program through the computer to add more personalized customization functions.Upgrading embodied intelligence technology is an ideal platform for you to explore and ROS robot dog technology.

Images

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Image of Yahboom Raspberry Pi 5 Embodied Intelligence Robot Dog Python Programmable 12DOF Mechanical Dog DOGZILLA OpenCV (S2 Without Pi)
Image of Yahboom Raspberry Pi 5 Embodied Intelligence Robot Dog Python Programmable 12DOF Mechanical Dog DOGZILLA OpenCV (S2 Without Pi)
Image of Yahboom Raspberry Pi 5 Embodied Intelligence Robot Dog Python Programmable 12DOF Mechanical Dog DOGZILLA OpenCV (S2 Without Pi)
Image of Yahboom Raspberry Pi 5 Embodied Intelligence Robot Dog Python Programmable 12DOF Mechanical Dog DOGZILLA OpenCV (S2 Without Pi)
Image of Yahboom Raspberry Pi 5 Embodied Intelligence Robot Dog Python Programmable 12DOF Mechanical Dog DOGZILLA OpenCV (S2 Without Pi)
Image of Yahboom Raspberry Pi 5 Embodied Intelligence Robot Dog Python Programmable 12DOF Mechanical Dog DOGZILLA OpenCV (S2 Without Pi)
Image of Yahboom Raspberry Pi 5 Embodied Intelligence Robot Dog Python Programmable 12DOF Mechanical Dog DOGZILLA OpenCV (S2 Without Pi)

* Predictions is created on based of past prices and trends, it does not guarantee that it will happen. These are just prediction for theoretical information only.