Arduino Workshop – Saturday 22nd June

On Saturday 22nd June 2013 the lab will running an Arduino workshop. Arduino is a micro-controller platform designed for ease of use and learning. It allows the creation of electronically controlled projects, whether it be simple blinking lights, a robot or a music generator. This workshop is aimed at beginners. You don’t needs any previous[…]

Robotics: Adaptive Control and Vision

Our robot arm is learning to control itself from optical feedback alone! We connected the Lagadic’s visual servoing platform (ViSP), OpenCVs robust homography estimator and University of Edinburgh’s Locally Weighted Projection Regression (LWPR) adaptive control to create a software stack for a cheap USB robot arm toy and a webcam. The hardware cost about £48, and it took us 6 weekends to connect up cutting edge open source research software. Yes! All this software is free! It’s been paid for already. I hope this article will guide people towards making use of these valuable public domain resources. We used an adaptive control scheme so at no point was robotic geometry measured, and instead the software *learnt* how to move the robot from experience alone.


To recap (here and here), our goal is to build high precision robot systems using cheap components, and now we have actually tried a control installation. The existing approach to precision machinery is to spend lots of money on precision steel components and more or less control the machine open loop (without feedback). CNCs are a good example of this where the lead screws are *really* expensive. This approach made sense when we did not have cheap methods of precision feedback, but now we have cheap cameras and cheap computation (thanks smart phones), an alternative method for obtaining precision could be to just to use dodgy mechanics and closed loop control (feedback). Visual feedback is particularly attractive because: its easy to install; it is contactless (so does not affect the motion of the thing you want to control) and it doesn’t wear. With vision you can just slap markers on a mechanical part and off you go (with the appropriate software).