Premium Robot Tank Car Chassis TT02 for Arduino Raspberry Pie, Tracked Caterpillar Clawler by Microbit Python DIY STEAM, RC Robotic Platform with 2pcs DC TT Motor, Robotics Model for Remote Control

Premium Robot Tank Car Chassis TT02 for Arduino Raspberry Pie, Tracked Caterpillar Clawler by Microbit Python DIY STEAM, RC Robotic Platform with 2pcs DC TT Motor, Robotics Model for Remote Control

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SKU:
ZDU356620
UPC:
724164029911
Condition:
New
Availability:
Free Shipping from the USA. Estimated 2-4 days delivery.
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About USSmaringRobot tracked chassis for Arduino is a perfect gift for your Children who are interested in programming, robotics, electronics, or mechanical design as it can improve logical thinking, mechanical, and electrical abilities of your Children and let your children learn how to build and program fully-functional robots.It is an integration solution for robotics learning and made for education,also a perfect starter kit for teens,adults and professionals. Robot Chassis Parameter: Name: Tracked Robot Car Chassis Car body: Aluminum alloy Color: Black Driving & Bearing wheel: plastic Tracks: Engineering Plastic Size: 7.6* 6.42 *2.36inch (length * width * height) Working voltage: 3-6V Working carrying capacity: 0-3Kg More details, at gitnova to download the source code and the documents. TT DC Motor Kit Parameter Voltage:6V (3-6v is recommended) Reduction ratio:48:1 Strong magnetic band and anti-interference Voltage:6V No load current ? 250mA No load speed 240 ± 10% rpm Shipping List: Panel: 1pcs Wheel: 4pcs TT motor: 2pcs Screw: 1set Feature: Engineering plastic track Good wear resistance, can be disassembled and assembled into any length. TT DC Motor Strong Power Provided,can make sure chassis run stably and suit for Any DIY. Sand blasting oxidation treatment The body is not easy to aging and corrosion.make service life much longer. Beat choice for DIY There are many holes on the robot tank chassis panel that can install accessories, which can support a variety of DIY, suitable for education, DIY competition, intelligent games, etc. FAQ: Q: Where can I find the documents? A: The document can be find at gitnova com, and there we have the reference source code for Arduino. Q: Which controllers are suitable? A: Arduino, Raspberry pi, STM32, Micro Bit, and so on.
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