Yahboom Smart Chassis Car 2WD Kit with 520 Encoder Motor,Aluminum Alloy Frame,with Expansion Board Driver,for DIY Educational Robot Car Kit(

Yahboom Smart Chassis Car 2WD Kit with 520 Encoder Motor,Aluminum Alloy Frame,with Expansion Board Driver,for DIY Educational Robot Car Kit(

Two-wheel drive and four-wheel drive models are available: 2wd is equipped with two driving wheels and two auxiliary universal wheels, which has the advantages of simplicity, stability and flexibility. 4wd is equipped with four motor-driven wheels, which has strong power and greater load. Two drive models are available to meet different application scenarios. The intelligent robot car uses 2-4 L-type 520 high-precision encoder motors, all-metal gears, high power performance, small size, large torque, 1:40 reduction ratio, suitable for application scenarios requiring large loads, ensuring the smooth operation of the chassis. Support a large number of sensors: The upper and lower layers of the chassis are designed with rich installation holes, which are convenient for flexible expansion and installation of a variety of camera accessories, line patrol modules, motor drive modules and Raspberry Pi/Jetson series and other main control accessories. Provide APP control, support Android and iOS systems. Suitable for electronic project competitions, Yahboom provides chassis expansion cases. Please note: The default delivery is not assembled with accessories, and users need to follow the installation video. The wheeled car chassis is designed for the undergraduate electronic design competition. It supports L-type 520 high-precision Hall encoder reduction motor, is compatible with two-wheel drive and four-wheel drive configurations, and is compatible with the MSPM0 master control. It provides a two-layer structure to meet the needs of various scenarios. The chassis supports a variety of competition-level accessories, meets the size and weight standards of the undergraduate electronic design competition, and meets the competition list. Yahboom provides supporting routines and a large number of sensor application cases to support rapid development and learning.