If you’ve never seen a Strandbeest before, you’re going to want to watch the video after the break. Invented by [Theo Jansen], a Strandbeest is a kinematic work of art. An eight legged structure that walks around under wind power — or if you’re clever, an Arduino and some motors.
For a weekend project, [Remet0n] decided to motorize a toy version of the Strandbeest, and make it remote-controlled. The toy is normally powered by a propeller spun by the wind — making it very easy to replace with motors. You can pick them up for under $10 on eBay.
Using an Arduino Nano, two small 3V motors , a wireless chip (NRF24L01) and a L9110 H-bridge, he was able to create this awesome little remote-controlled device:
Continue reading “Motorized Strandbeest Is Remote Controlled And Awesome”







Now in all honesty, the Chromecast gets hot but the amount of power it draws when not in use is still pretty negligible compared to the draw of your TV. Every watt counts, and [Ilias] took this as an opportunity to refine his skills and combine a system using an Arduino, Bluetooth, and Android to create a robust power switch solution for the Chromecast.
running a calculus function on an Arduino presents a seemingly impossible scenario. In this article, we’re going to explore the idea of using derivative like techniques with a microcontroller. Let us be reminded that the derivative provides an instantaneous rate of change. Getting an instantaneous rate of change when the function is known is easy. However, when you’re working with a microcontroller and varying analog data without a known function, it’s not so easy. Our goal will be to get an average rate of change of the data. And since a microcontroller is many orders of magnitude faster than the rate of change of the incoming data, we can calculate the average rate of change over very small time intervals. Our work will be based on the fact that the average rate of change and instantaneous rate of change are the same over short time intervals.