PAUL (Programmable Autonomous Utility Lift) is a modular robotics platform with mecanum drive, claw arm, Arduino + Raspberry Pi control, SLAM mapping, and voice/AI integration. Built for Rowan ECE Clinic, it showcases embedded systems, autonomy, and human-robot interaction.”
Level shifter shield for interfacing 3.3V Arduino boards (Due, Giga R1) with 5V RetroShield Z80 using TXB0108 ICs
PyQt5 based application, using pyvisa and serial communication in order to control PID loop and obtaining data from temperature sensors, together with control of the shutter system using Arduino
PyQt5 based application, using pyvisa and serial communication in order to control PID loop and obtaining data from temperature sensors, together with control of the shutter system using Arduino
PyQt5 based application, using pyvisa and serial communication in order to control PID loop and obtaining data from temperature sensors, together with control of the shutter system using Arduino
PyQt5 based application, using pyvisa and serial communication in order to control PID loop and obtaining data from temperature sensors, together with control of the shutter system using Arduino
PyQt5 based application, using pyvisa and serial communication in order to control PID loop and obtaining data from temperature sensors, together with control of the shutter system using Arduino
PyQt5 based application, using pyvisa and serial communication in order to control PID loop and obtaining data from temperature sensors, together with control of the shutter system using Arduino
Microprocessor Quad Drone System, based on SPRacing R3 w/Arduino PPM Control Signal
Microprocessor Quad Drone System, based on SPRacing R3 w/Arduino PPM Control Signal
Real-time ECG biosensor using AD8232, Arduino Uno R4, Python signal processing, and Streamlit dashboard with PCB design and validation against Apple Watch
This is my attempt at the inverted pendulum project. My goal is to learn control systems, PID, as well as coding with arduino more.
Code and Hardware implementations for the drones built for the Laboratory of Autonomous Intelligent Robots - LAB-AIR, from the Federal University of Espírito Santo (UFES). This project is in active development, using a Teensy 4.0 microcontroller as the main board with Arduino IDE.