Welcome to the Synthetic Physical Computing Blog!
For those of you that are unfamiliar with the term, it is a way to interact with the physical world by way of using electronics and micro-controllers to activate or sense things in the real world. One simple example would be micro-controlling a fan motor based on a temperature sensor value (very cheap air conditioning). A more complicated example is to navigate a remote controlled car through a track without the remote control. The latest fad is the Unmanned Arial Vehicle (UAV) Quadcopters.
The platforms that we will work with will be Arduino™ compatible, Penguino™ compatible and hopefully the Uno32™ Compatible open source projects. Each of these have a “breadboard capable” Dual Inline Pin (DIP) micro-controller, well established bootloaders and Intergrated Development Environments (IDE) that allows for a fully hands on experience.
Each project will be supported with all components in a kit format available at http://www.spcomputing.com.