I have been working on a talk about my machine learning robot, Ty. This post is to make the links and slides from the talk available in one easy place.
On Cats and Typing: An Intersection of Machine Learning and Robotics
Elecia White will describe the twists and turns on the path to making a voice-controlled typing robot for her own education and amusement. She’ll show a slightly scary demo of the state-of-the-art machine learning platform then describe the applications of machine learning to robotics (and some of the steps necessary to do so). She will demonstrate control of a small, affordable robot arm. She will discuss the architecture of her system in its current and plans for the future.
Follow Elecia’s adventures in the worlds of machine learning and robotics.
Embedded show #187: Self Driving Arm is the interview with Professor Patrick Pilarski about machine learning and robotics applied to prosthetic limbs.
My machine learning board is Nvidia’s Jetson TX2. The Two Days to a Demo is a good starting point. However, if you are new to machine learning, a better and more thorough introduction is the Andrew Ng’s Machine Learning course on Coursera. To try out machine learning, look at Weka Data Mining Software in Java for getting to know your data and OpenIA Gym for understanding reinforcement learning algorithms
I wasn't sure about the Law of Cosines before starting to play with this so I made a drawing to imprint it into my brain.