
Robots endowed with the ActSimple alogorithm outperform any other robot at utilizing their memories efficient
Scientists have developed a new method that allows robots to remember relevant pieces of information from the sea of data they collect from the environment, by emulating the way human memory works. Each individual is able to recall the most important things about a certain period or event, but all the useless details are processed subconsciously, and then discarded. Roboticians and computer experts want to be able to replicate the exact same mechanism in the machines, which could thus become more able to answer various situations and challenges that they may face, Technology Review reports.
A team of experts from the Vanderbilt University was behind the new "forgetfulness" algorithm, which replicates humans' ability of weeding out irrelevant pieces of information about the past. "Forgetting is a critical capability when operating in dynamic environments," VU PhD student Sanford Freedman said. He presented the new software this week in Cambridge, Massachusetts, at the IASTED Robotics and Applications conference. A paper detailing how the algorithm, called ActSimple, works was also published at the meeting.











