Assistive Feeding: AI Improves Control of Robot ArmsAlgorithms developed by Stanford researchers could one day help disabled people fluidly and intuitively control robot arms to help with everyday tasks.
Artificial Intelligence Will Do What We Ask. That's a Problem.By teaching machines to understand our true desires, one scientist hopes to avoid the potentially disastrous consequences of having them do what we command.
Robotic Control, Easy as Apple PieRobots designed to assist people with disabilities have become more capable, but they’ve also become harder to control. New research offers a way to operate such complex mechanical systems more intuitively.
A user-friendly approach for active reward learning in robotsIn recent years, researchers have been trying to develop methods that enable robots to learn new skills. One option is for a robot to learn these new skills from humans, asking questions whenever it is unsure about how to behave, and learning from the human user's responses.
Stanford researchers teach robots what humans wantResearchers are developing better, faster ways of providing human guidance to autonomous robots.
Self-Driving Cars Need To Learn How Humans DriveIn the not-too-distant future, Americans will be sharing the road with self-driving cars. Companies are pouring billions of dollars into developing self-driving vehicles. Waymo, formerly the Google self-driving-car project, says that its self-driving cars have already driven millions of miles on the open road.
Stanford University assistant professor Dorsa Sadigh has ridden in self-driving cars. 'These cars are OK driving in normal driving conditions on normal roads,' Sadigh says. But 'the moment you put them in situations they haven't seen, they don't really know how to deal with that.'