Glover is creating better robot vision


November 12, 2013

Object recognition is one of the most widely studied problems in computer vision. But a robot that manipulates objects in the world needs to do more than just recognize them; it also needs to understand their orientation. Is that mug right-side up or upside-down? And which direction is its handle facing?

To improve robots’ ability to gauge object orientation, Jared Glover, a graduate student in MIT’s Department of Electrical Engineering and Computer Science, is exploiting a statistical construct called the Bingham distribution. In a paper they’re presenting in November at the International Conference on Intelligent Robots and Systems, Glover and MIT alumna Sanja Popovic ’12, MEng ’13, who is now at Google, describes a new robot-vision algorithm, based on the Bingham distribution, that is 15 percent better than its best competitor at identifying familiar objects in cluttered scenes.

Continue reading the article on MIT News.

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