A north-pointing gimbal with dual rings allows stable orientation for cameras on moving vehicles, keeping the arrow horizontal despite movement.
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Updated
Apr 13, 2026 - C++
A north-pointing gimbal with dual rings allows stable orientation for cameras on moving vehicles, keeping the arrow horizontal despite movement.
ESP32-based line-following robot built as a school final project, with the goal of learning and possibly competing. Uses 11 IR sensors for line detection and a PD control loop.
Arduino UNO line tracer (IR + HC-SR04) with warning/stop logic — solo build & verification
a circuit, which controls a motor with gear with an encoder using an Arduino UNO, a TB6612FNG driver, a BNO055 inertial sensor. The Arduino UNO calculates, where north direction is and uses it to control the motor's position with closed loop, so that the motor moves a mechanical visor into the north direction.
PID-based line following robot using an 8-channel reflectance sensor array and TB6612FNG motor driver; secured 3rd place in Techfest IIT Bombay Meshmerize zonals.
Mecanum bot controlled by ESP32, TB6612FNG via Bluepad32
This project implements a Two-Wheeled Self-Balancing Robot using the STM32F401CCU6 microcontroller. The system leverages FreeRTOSfor multitasking and employs a Cascade PID Controller (Angle Loop + Speed Loop) to maintain stability.
A gearmotor N20 follows the rotation angle of a potentiometer with a closed loop. The motor is connected to outside power and to Arduino with TB6612FNG Motor Driver. There is a protection against disconnect of the USB power.
3D printed smart lock using ESP32 via 2 AA cells, N20 geared motor driven by TB6612FNG via 9V block
Ein Fahrzeug per ESP32 das 2 Motoren, durch einen Motortreiber TB6612FNG angetrieben wird, das mit einer selbst zu erstellenden App mit MIT App Inventor einfach erzeugt werden kann
Library to control Stepper Motors , Raspberry pi PICO SDK C++
树莓派/esp32智能小车,通过网络摄像头捕获视频流,通过web应用控制小车,小车可以跟踪人脸转向
Arduino Library for the TB612FNG motor controller (for our uses)
DYI, developing a fully autonomous car using arduino UNO R4 with wifi. Car will autonomously drive using gyro and accelerometer to map the environment. Ultrasound data sweeps and is streamed serially across wifi to host windows PC. Python program runs on PC that generates map of the environment from the streamed data.
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