Press

Researchers From Stanford And DeepMind Come Up With The Idea of Using Large Language Models LLMs as a Proxy Reward Function

With the development of computing and data, autonomous agents are gaining power. The need for humans to have some say over the policies learned by agents and to check that they align with their goals becomes all the more apparent in light of this.

To Cooperate Better, Robots Need To Think About Hidden Agendas

New approaches favoring unspoken strategies between collaborating machines could drive the next wave of advances in robotics.

The key to smarter robot collaborators may be more simplicity

A self-driving car might learn to maneuver more nimbly among human drivers if it didn’t get lost in the details of their every twist and turn.

Assistive Feeding: AI Improves Control of Robot Arms

Algorithms 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 Pie

Robots 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 robots

In 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 want

Researchers are developing better, faster ways of providing human guidance to autonomous robots.

Self-Driving Cars Need To Learn How Humans Drive

In 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.'

Artificial Intelligence May Make Traffic Congestion a Thing of the Past

If you drive a car, you've probably found yourself waiting at a red light while the intersection sits empty. Artificial intelligence could make that—and other frustrating inefficiencies of city traffic—a thing of the past.

Autonomous Cars Could Determine Your Driving Style by Gently Probing You

When every car on the road is an autonomous car, we won't have to worry about what kind of driver everyone else is. Before that happens, there's going to be a very long and messy period where autonomous cars will be sharing the road with human drivers. It'll be important for autonomous cars to understand and predict what the humans around them are trying to do, which is a very difficult problem, because humans are notoriously irrational: we all have different intentions, goals, preferences, objectives, driving styles, and we may or may not be looking at our cell phones.

Robots That Act Differently When You’re Around

The machines of the future will tailor their behavior to humans—and even individual personalities.