Just as RobotsFor.Me isn't a work-in-progress towards armed ground bots, Chernova's research isn't focused specifically on building more efficient domestic servants. Her $433,351 grant from the National Science Foundation is directed towards learning from the data being collected by RobotsFor.Me studies, and investigating the ways it could benefit autonomy and training from one user, or many at once. It's a small project (compared, for example, with the millions in funding already provided to some of the DRC teams) with potentially major implications. And before it injects much-needed smarts into home robots, it might lead to a more humble half-measure. Remember those hospital bots, lodged pathetically behind trash cans? "We can use this as a preliminary step to make robots smarter in the long-term, but also to develop ways to let humans log on, with no real training, and get the robot out of a tight spot," says Chernova. "And each time somebody from that call center answers a robot and helps it, the robot can become more autonomous." Though it's not part of her funded research, Chernova seems promise for a call center model, to bridge the gap between constantly remote-controlling a robot, and trusting it to act with complete autonomy. "We can develop robots that are 90 percent autonomous pretty reliably today," says Chernova. "It's that 10 percent that's the problem."