MIT researchers are trying to get computers to correctly interpret hand signals used by crews aboard aircraft carriers so that robot planes can follow them.
As Northrop Grumman continues to develop its X-47B robot stealth plane, which is aimed at carrier use, Yale Song and colleagues at MIT are working on a machine learning system that could allow autonomous planes to understand crew directions.
In its research presented in the journal ACM Transactions on Interactive Intelligent Systems, the team used a database of abstract representations of 24 gestures often employed by carrier personnel. They trained an algorithm to classify gestures, including posture and hand position, based on what it knew from the database. … Read more