Tuesday, 22 April 2014

Self-Learning Helicopter Uses Neural Network

model helicopter attached to boom


Though this project uses an RC helicopter, it’s merely a vessel to demonstrate a fascinating machine learning algorithm developed by two Cornell students – [Akshay] and [Sergio]. The learning environment is set up with the helicopter at its center, attached to a boom. The boom restricts the helicopter’s movement down to one degree of motion, so that it can only move up from the ground (not side to side or front to back).


The goal is for the helicopter to teach itself how to get to a specific height in the quickest amount of time. A handful of IR sensors … Read the rest






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