Arduino library to enable smooth servo movement.
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Updated
Dec 2, 2025 - C++
Arduino library to enable smooth servo movement.
Simple ESP32-Arduino library to operate LX-16A serial servos
FeeTech SCS/SMS servo library for Arduino [not mine]
Export your Blender animation to servo position values. They can be used with an Arduino compatible micro controller to move PWM-driven servos according to your animation.
Example programs MSP430F5529
Feetech Servo Python SDK. Copy official repository.
SlowMotionServo is an Arduino library to drive servos slowly along a trajectory pos(t)
Richard G. Hirst's 'servoblaster' userspace PVM Servo controller for Raspberry Pi
This library enables you to use 1 Hardware Timer on RP2040-based board, such as Nano_RP2040_Connect, RASPBERRY_PI_PICO, to control up to 16 or more servo motors. Now permitting using servos with different pulse ranges simultaneously.
🐦 Arduino sketch to control the servos of an RC ornithopter.
I2Cwrapper is a firmware framework which helps you implement Arduino based I2C target (slave) devices for control of non-I2C hardware. Supports plain Arduinos, ESP8266, ESP32, SAMD, STM32, and ATtiny platforms.
Web-application source code from servocam.org (Javascript). The web application allows you to remotely or locally control the machine using a web browser.
This library helps to control servos based on an exported Blender animation. It is specifically designed to work with the Blender Servo Animation Add-on.
A Biomimetic approach to a distributed control architecture for gait generation in polypedal mobile robots
STM32F303CC Servo Motor Control
A senior project conducted by James Ramsay and Aditya Patel, advised by Dr. Yufeng Lu and Dr. In Soo Ahn. Sponsored by Bradley University
Yahboom 24-channel dual PWM servo control debugging board for DIY smart robotics
A small MicroPython Asynchronous Servo library.
This repository contains the class workshops for the class. Each workshop has a folder as well as the final project. This repo contains mobile robots geometric models development, its digital model and construction in ROS and Gazebo, machine vision algorithms, trajectory control and a vision-based user following robot.
Autonomous driving model car based on python/tensorflow deep learning running on a jetson nano hardware.
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