HomeTALK AI TVElectric Machinery DIY Tracked Robot Chassis Smart Tank Car Platform Kit, Caterpillar...

Electric Machinery DIY Tracked Robot Chassis Smart Tank Car Platform Kit, Caterpillar Robotic Crawler Sciences Educational Model for Arduino Raspberry Pi STEAM Silver


Price: $29.99
(as of Sep 30, 2024 22:28:55 UTC – Details)



Introduction
SmaringWing TP101 tank chassis tracked robot chassis robotic platform for Arduino, Raspberry pi, NodeMCU. Perfect for DIY projects, robotics learning, STEAM education, teaching and competitions.
Many schools or education departments choose this robot car chassis learning kit to let school students learn more about AI robot knowledge. Having students learn how to build and program fully functional robots, improves their logical thinking, mechanical and electrical abilities. The surface of the robot chassis is sandblasted and oxidized, and the bearing wheels are made of high-quality engineering plastics, which are robust.
Product Parameter:
Material: Plastic
Product Type: TP101 Robot Chassis
Product Size: 7.6*6.42*2.36 in / 19.3*16.3*6 cm (Length*Width*Height)
Product Weight: 0.47kg / 1.04lb
Panel Material: 2mm aluminum
Surface Treatment: Sandblasting oxidation
Driving Wheel Parameter:
Color: Silver
Aperture: M3
Size: 50*33 mm
Inner Diameter: 4/5/6 mm (coupling)
Material: Plastic
Type: with connectors
Bearing Wheel Parameter:
Material: Plastic
Color: Black
Aperture: M4
Size: 50*35 mm
Motor Paramters:
Voltage Range: 6v-12v
No-Load Speed: 170-350rpm
Rated Voltage: DC 12V
No-Load Current: 100mA
Motor Weight: 100g
Tracks Parameter:
Material: Engineering plastic
Color: Black
Connection: The track is connect one section by one section.
Length: The length of track can be changed as any length
Package Included:
2 pcs Tracks
2 pcs Driving Wheel
2 pcs Bearing wheel (5mm inner size)
2 pcs DC Motor
1 set Screw accessories & hexagon wrench
Package Dimensions ‏ : ‎ 3.22 x 3.2 x 2.32 inches; 2.08 ounces
Department ‏ : ‎ womens
Date First Available ‏ : ‎ February 20, 2022
Manufacturer ‏ : ‎ SZDoit
ASIN ‏ : ‎ B09SXXKZVB
Country of Origin ‏ : ‎ China

【Code Programming】With this smart robot tank car chassis TP101, you can use Arduino electronics controller board and many sensors to make some projects, like obstacle avoidance, tracing, automatic driving, and AI RoS learning. The robot chassis kit is a great starter kit for beginners to learn the code programming of Arduino UNO R3, Raspberry pi, Python
【Metal Panel】Designed with metal panel, with 2pcs plastic tracks and 4pcs wheels. This robotic smart car chassis kit is perfect for students to use for Arduino/Raspberry Pi/microbit learning. In the manual, we provide the Arduino code with WiFi, Bluetooth control mode. You can easily DIY a tank chassis
【Robot Chassis】The robot tank chassis can move smoothly in complex environments such as grass, sand, and small stones. But it is easy to roll over for a car chassis. The tracks of the tank chassis are wider than regular wheels, so tank chassis can easily pass through these scences. Note, the length of track can be adjusted as any length.for its one by one connection
【Great Learning】Robotics covers robotic mechanics, software, and electronic hardware. With this tank robot chassis frame starter kit, you will learn how to assemble and design, controller and code programs such as Arduino, Raspberry pie, Python
【Packing List】Include 1pc metal frame, 2pcs plastic driving wheels, 2pcs plastic bearing wheels, 2pcs plastic tracks and screw kit. Smart robot car chassis kit is a good product for DIY, science educational kits, suitable for robot enthusiasts, car enthusiasts, etc. Any question, please feel free to contact us, and we will reply you as soon as possible

Customers say

Customers like the functionality and build quality of the science fundamentals kit. They mention it works great as an R/C tank and is well-made. However, some customers have reported issues with the controllability and holes alignment. They also have issues with plastic treads. Opinions are mixed on the ease of assembly and motor speed.

AI-generated from the text of customer reviews

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