HomeTALK AI TVThe perseids DIY Robot Smart Car Chassis Kit with Speed Encoder, 2...

The perseids DIY Robot Smart Car Chassis Kit with Speed Encoder, 2 Wheels and and Battery Box for Arduino/Microbit/Raspberry Pi for Adult Age 16+ (2 Wheels)


Price: $19.95
(as of Sep 27, 2024 00:15:41 UTC – Details)


From the brand

RC Rock Crawler WPL C24 RC Rock Crawler WPL C24

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The perseids has determined to create a fun and exciting experience by offering an exciting range of Toy-Grade and Hobby-Grade RC Truck for children and adults. Here you can find your very own RC car and enjoy life!

Amazon Store

For More RC Truck, Please Follow Our The perseids Amazon Store.

WPL RC Crawler

Super Fun RC Truck

Remote Control Vehicle

2WD RC chassis car kits: size: 21 x 10 cm (L x W), the wheel size: 6 x 2.7 cm (diameter x H). The motor power supply is 3 V ~ 6 V. All above parameters are tested without load. With two actuation, two delay DC machines, speed encoder. Has strong horse strengths, good directionality and easy to expand.
Easy to install: the mechanical structure is simple, with a vehicle platform, add some microcontroller and sensor modules and program them. Then you have built your own robot car.
Educational DIY toy: An educational kit for beginners age over 16 years old to get hands-on experience in programming, electronics assembling, and robotics knowledge. It is an integration solution for robotics learning.
Multifunctional: ideal for programming, home automation, RPI Raspberry DIY. Realize functions such as tracking, avoiding obstacles, distance tests, speed tests and wireless remote control.
If you have any questions, please let us know, and we will try our best to solve the problem within 24 hours.

Customers say

Customers find the toy figure easy to assemble and great value for money. They mention it’s a clone of an industry standard design, and soldering wires onto motors is nice and easy. However, some customers have reported issues with the battery life and screw fit. Opinions differ on the build quality.

AI-generated from the text of customer reviews

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