Robots do kitchen duty with cooking video dataset
Now that we have robots that walk, gesture and talk, roboticists are interested in a next level: How can they learn more than they already know? The ability of these machines to learn actions from human demonstrations is a challenge for those working on intelligent systems or, in Eric Hopton's words, in writing for redOrbit, for instances where "you need it to do a new task that's not part of its database." Now researchers from the University of Maryland and the Australian NICTA (an information communications technology research center) have written a paper reporting they have succeeded in this area. They are to present their findings at the 29th annual conference of the Association for the Advancement of Artificial Intelligence later this month, from January 25 to 30, in Austin, Texas. They have explored what it takes for a self-learning robot to improve its knowledge about fine-grained manipulation actions...