Dec 092005
 

Although there have been many advances in machine vision, most relatively simple robots are still not able to maneuver around objects at high speeds because they are unable to quickly judge their distance from the objects. In order to tackle this problem researchers from Stanford University have developed a new algorithm that many said was impossible: it will allow robots to calculate distances from a single, still image. The algorithm was developed by a team led by computer science Assistant Professor Andrew Ng and was presented at the Neural Information Processing Systems Conference held in Vancouver this week.

Continue reading »