Yahboom STM32 Two Wheel Self Balancing Robot Car Kit, Suitable for Teens Aged 16+, Programmable Robot, Robot Starter Kit Gift for Teen Boys (All Accessories Kit)

Availability: Available to order
ID: 7021199
Product Code: ANEB0DX1ZM3CHT

272.34€
(Ex Tax: 225.08€)


Description
[This product includes four sensor kits] The four-way infrared patrol line allows the balance car to automatically follow the black line and even make super sharp turns; the 2.4G wireless handle remote control can accurately control the speed of the car; the radar module allows the car to achieve advanced functions such as obstacle avoidance, guarding, tracking, and patrolling; the K210 visual module can achieve functions such as colour following, visual visual patrol patrol linImage code control. 2-wheel self-balancing robot car kit: this self-balancing robot car kit is designed for teenagers aged 16+ to learn coding, building and robotics. It is developed based on STM32F103RCT6, uses PID/LQR control algorithm, adopts Kalman filter/complementary filter/DMP attitude algorithm, and is equipped with an industrial-grade 6-axis MPU6050 gyroscope. It is the best choice for learning programming and robotics. Super multi-function play and novel setting method: the 2-wheel self-balancing robot comes with 20 functions to play. No additional program needs to be downloaded. You can switch between different modes by simply turning the wheels. It is full of fun. The basic functions of the robot car include posture recognition, ultrasonic following and obstacle avoidance, balance car climbing, and load-bearing mode can run normally under the condition of bearing 4KG. 2 control modes: supports mobile phone app control, you can use button mode, gravity mode, and joystick mode to control the movement of the car, and display the car speed, distance, battery voltage and other data; for professional robot enthusiasts, the app can provide PID debugging interface display and waveform display interface display. The car also supports 2.4G wireless handle remote control, which has more precise speed control and better control experience. Full set of learning materials: For robot enthusiasts, we provide comprehensive PID-specific source code and detailed documentation tutorials to help you get started quickly and gain in-depth understanding; and provide mathematical modeling, LQR control source code and library functions/HAL library and other source codes; control-related codes are all annotated in English, making it very easy to read the code. › See more product details; Product description The STM32 balancing car integrates a high-performance STM32F103RCT6 chip, equipped with a metal chassis, a high-power reduction motor and a six-axis IMU attitude sensor. It can not only achieve a 4-kilogram load balance and easily cope with the challenge of climbing, but also achieve obstacle avoidance or following functions through the ultrasonic module. The OLED screen can display data in real time, and a mobile phone remote control APP is provided to support real-time viewing of data waveforms and simplify the PID parameter debugging steps. The balancing car also supports a variety of sensor expansions, such as 2.4G wireless remote control, four-way training sensors, and can achieve visual functions such as image code control, color following, and color line patrol through the K210 visual module. In addition, it also supports radar following the wall, radar guard, radar patrol, radar obstacle avoidance, and radar following functions. Built-in PID control tutorials and LQR control source code and mathematical model materials help users quickly master the control technology of the balancing car. The rich expansion interface meets the needs of users at different levels and is an ideal platform for learning and practice.; Product description The STM32 balancing car integrates a high-performance STM32F103RCT6 chip, equipped with a metal chassis, a high-power reduction motor and a six-axis IMU attitude sensor. It can not only achieve a 4-kilogram load balance and easily cope with the challenge of climbing, but also achieve obstacle avoidance or following functions through the ultrasonic module. The OLED screen can display data in real time, and a mobile phone remote control APP is provided to support real-time viewing of data waveforms and simplify the PID parameter debugging steps. The balancing car also supports a variety of sensor expansions, such as 2.4G wireless remote control, four-way training sensors, and can achieve visual functions such as image code control, color following, and color line patrol through the K210 visual module. In addition, it also supports radar following the wall, radar guard, radar patrol, radar obstacle avoidance, and radar following functions. Built-in PID control tutorials and LQR control source code and mathematical model materials help users quickly master the control technology of the balancing car. The rich expansion interface meets the needs of users at different levels and is an ideal platform for learning and practice.; The STM32 balancing car integrates a high-performance STM32F103RCT6 chip, equipped with a metal chassis, a high-power reduction motor and a six-axis IMU attitude sensor. It can not only achieve a 4-kilogram load balance and easily cope with the challenge of climbing, but also achieve obstacle avoidance or following functions through the ultrasonic module. The OLED screen can display data in real time, and a mobile phone remote control APP is provided to support real-time viewing of data waveforms and simplify the PID parameter debugging steps. The balancing car also supports a variety of sensor expansions, such as 2.4G wireless remote control, four-way training sensors, and can achieve visual functions such as image code control, color following, and color line patrol through the K210 visual module. In addition, it also supports radar following the wall, radar guard, radar patrol, radar obstacle avoidance, and radar following functions. Built-in PID control tutorials and LQR control source code and mathematical model materials help users quickly master the control technology of the balancing car. The rich expansion interface meets the needs of users at different levels and is an ideal platform for learning and practice.

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