I wrote a little instructable on stepper motors, check it out here!
Me and Esmond and Pal worked on a conceptual diagnostic device for use in rural settings.
Me and some friends worked on a car for Sparkfun’s Autonomous Vehicle Competition. The race has your car make one (just one!) lap around a haybale-bordered track in Sparkfun HQ’s parking lot. There are dirt sections, hoops to go through, barrels to dodge, jumps, zigzags and the famous “discombobulator” – a spinning disc that most competitors just try to jump if they approach it at all.
Our entry, “Neural Carputer,” used an eight layer neural network with four convolution and four fully-connected layers. It was an end-to-end system – it took in camera and odometer data and output steering and throttle commands. We took about an hour of training data – I just manually drove the car through the course during the practice time before race day. In autonomous mode, Carputer would eventually make one perfect run around the course and have many more less-than-perfect runs too (:
Inspired by this instructable on a soft universal gripper and some articles sent by my friends Zina and Ben, I’m reading about soft robotics.
Going through the CNC classes at Pier 9.
I’d like to make a new tag for when my bike’s on the train. Here are some basic renders..
how to decide what to prototype.. hm, there are many approaches:
Bunnie Huang and Edward Snowden are collaborating on “the introspection engine,” a device that can connect to an iPhone6 and determine if the phone’s radios are active. Their initial ideas are here.