SKU: 48325554288

JJR/C R2 CADY WIDA RC Robot Gesture Sensor Dancing Intelligent Program Toy Gift for Children Kids Entertainment with Remote Control, R2

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Description

JJR/C R2 CADY WIDA RC Robot Gesture Sensor Dancing Intelligent Program Toy Gift for Children Kids Entertainment with Remote Control, R21. It can slide forward backward, walk forward backward, turn left right. 2. The robot can sing and dance to entertain you. 3. The robot can be programmed to carry out movements as you create. 4. Gesture control: using simple gestures, the robot can react to your gestures with basic movements, along with sound effects. 5. Patrol and obstacle avoidance: once detecting obstacle in the way, it will deliver message as reminders and then move backward and

1. It can slide forward/backward, walk forward/backward, turn left/right.
2. The robot can sing and dance to entertain you.
3. The robot can be programmed to carry out movements as you create.
4. Gesture control: using simple gestures, the robot can react to your gestures with basic movements, along with sound effects.
5. Patrol and obstacle avoidance: once detecting obstacle in the way, it will deliver message as reminders and then move backward and turn left or right on occasions to avoid obstacles.
6. The electronic toy has one key to perform automatically including walk, play music.
7. Best gift for your or friend''s kids. A good companion for them.
8. The R2 robot: Built-in 600mAh rechargeable battery.
9. Remote control power: 2 x AA batteries (not included).


Specification:
General
Model R2
Battery Capacity 600mAh (Robot)
Charging Time about 1 hour
Play Time about 1.5 hours
Size 16*8*26.5cm
Weight 365g
Package Include
Package Contents 1 x Remote Control
1 x User Manual
1 x USB Charger Cable
1 x Robot
Package Weight
One Package Weight 0.76kgs / 1.68lb
One Package Size 31cm * 18cm * 13cm / 12.2inch * 7.09inch * 5.12inch
Qty per Carton 24
Carton Weight 19.00kgs / 41.89lb
Carton Size 73cm * 40cm * 65cm / 28.74inch * 15.75inch * 25.59inch
Loading Container 20GP: 140 cartons * 24 pcs = 3360 pcs
40HQ: 326 cartons * 24 pcs = 7824 pcs

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SKU: 48325554288

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J
Verified Purchase
Johann
Boise, US
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 4, 2025
J
Verified Purchase
jrw879
Charlottesville, US
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 20, 2026
W
Verified Purchase
Wil C
Carnegie, US
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book. Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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Reviewed in the United States on September 23, 2025
A
Verified Purchase
Abdul
San Leandro, US
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Reviewed in the United States on May 5, 2025
Y
Verified Purchase
Y. Banga
Belleville, US
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
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Reviewed in the United States on February 21, 2025

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