There are 3 repositories under physical-computing topic.
A PulseSensor library (for Arduino) that collects our most popular projects in one place.
Server for use with p5.serialport
A visual programming patching environment for OF
Connecting ESP32 and iOS
A web-based programming environment for educational robotics that supports live coding and autonomy using a hybrid blocks/text programming language.
Repository for paper "Hands-on reservoir computing" (NCE, 2022)
Noisy language compiler
official repository and documentation for the Fluid Networks Workshop
Object-oriented Arduino library for creative physical computing
An 8-bit CPU, made with TTL chips on custom, modular PCBs. Includes board designs, and Arduino code to program its instruction set and programs.
📺A web application that uses an Arduino based controller to play videos from YouTube like music samples 🎛 🎧
A course on art, electronics, and interactivity
A p5.js library for using the Web Serial API to access devices like Arduino, no setup required
Journey through all the features of the micro:bit with interactive activities and engaging projects to excite and enthuse learners. The course uses makecode as the programming interface and is suitable for learners of all ages and abilities.
Learn about all the programming techniques in the GCSE Computer Science curriculum using MicroPython to program a micro:bit. Learners apply these techniques across several projects, mirroring real-world product development.
Take a journey of learning through the "Internet of Things" and Robotics. Learners apply Arm-based technology to solve interesting and authentic problems, using micro:bits and other exciting peripherals to create autonomous cars and smart cities.
A collection of accessible and engaging projects for teachers and learners that utilise the more advanced features of Arduino in real-world contexts.
Yet another 2D JavaScript physics engine
Programming physical circuits on the Raspberry Pi
Arduino Library for building Tiny Trainable Instruments.
A Minecraft game for the Raspberry Pi - Do not step on a land mine !!!
Este é um projeto de Métodos Computacionais em Física que se baseia em solucionar os polinômios de Legendre usando a linguagem Python.
Async Micropython driver for fading-capable LED(s) at human-adapted brightness levels (for RP2 port).
Dokumentation Physical Computing HAWK Hildesheim