🚀 Proyectos de todo tipo para arduino utilizando sus sensores y actuadores. 🤖
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Updated
May 25, 2024 - HTML
🚀 Proyectos de todo tipo para arduino utilizando sus sensores y actuadores. 🤖
MATLAB-Simulink model for Sensorless FOC control using Sliding mode observer (SMO)
Speed control, current monitoring, and RPM measurement of a BLDC motor using TM4C123GXL microcontroller.
In this project, we want to monitor the patient's temperature, turn on/off some lamp, control light with PWM, have the patient kay for emergency conditions. We want to access and control the patient with Android App and Web page in the localhost.
ATmega2560-based Fire Bird V robot project for line following and obstacle avoidance using IR sensors, PWM motor control, and ADC with LCD display.
Zoomy is a remote control and video stream host for Raspberry Pi, allowing you to control an RC car over WiFi w/ a video feed.
AI-powered Arduino control system using natural language commands through Google Gemini AI
This repository contains a program or programs that control the brightness of an AC lamp using interrupt and pulse width modulation (PWM) techniques. A potentiometer is used to adjust the lamp's brightness.
This project is a PWM (Pulse Width Modulation) simulation designed for a robotics workshop aimed at students. The simulation demonstrates how PWM controls the speed of two cars moving at different speeds. It includes interactive controls for adjusting the cars' speeds, duty cycle, and frequency, providing a hands-on learning experience.
Demonstration of the mini-lab component activities conducted for the course of Microcontrollers and Interfacing Techniques (19CCE201).
A Motor controller for Fischertechnik with many cool features.
PWM LED strips controlled by a nodeMCU that get's it's data from a web app that is hosted on a raspberry pi
Atmega32U4 microcontroller for an Arduino Leonardo rosserial client to integrate a PID for DC motors and ROS.
This is a high discrimination scanner designed to recognise DNA motifs within a long stretch of DNA. Most importantly, this implementation shows how to implement a variable sensitivity for detection, by modifying the pseudocount values.
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