Rodney Brooks Quotes

Our aim is to develop affectionate robots that can make people smile.

The idea that a robot will become more aware of its environment, that telling it to 'go to the kitchen' means something - navigation and understanding of the environment is a robot problem. Those are the technological frontiers of the robotics industry.

Through our evolution, we're so specialized for social interaction. So, if you can really design robots that can interact with people, in this very natural, interpersonal way, I think that would be great. You wouldn't have to have people read manuals, in order to operate them.

Looking ahead, future generations may learn their social skills from robots in the first place. The cute yellow Keepon robot from Carnegie Mellon University has shown the ability to facilitate social interactions with autistic children. Morphy at the University of Washington happily teaches gestures to children by demonstration.

What's casual for a robot isn't necessarily what's casual for a human.

I do think, in time, people will have, sort of, relationships with certain kinds of robots - not every robot, but certain kinds of robots - where they might feel that it is a sort of friendship, but it's going to be of a robot-human kind.

The only path to build intelligent machines is to enable it with powerful visual intelligence, just like what animals did in evolution.

When I was building robots in the early 1990s, the problems of voice recognition, image understanding, VOIP, even touchscreen technologies - these were robotics problems.

The real goal of AI is to understand and build devices that can perceive, reason, act, and learn at least as well as we can.

We wanted to solve robot problems and needed some vision, action, reasoning, planning, and so forth. We even used some structural learning, such as was being explored by Patrick Winston.

Note that I am not proposing that AI research be ignored or less funded.

I believed in realism, as summarized by John McCarthy's comment to the effect that if we worked really hard, we'd have an intelligent system in from four to four hundred years.

Artificial intelligence is growing up fast, as are robots whose facial expressions can elicit empathy and make your mirror neurons quiver.

Robots have gotten steadily more capable, but humans' expectations that robots should have minds keeps biting robot developers.

It won’t be long before we all number synthetic creatures among our friends.

We live in a world where all the parts of a robot are very cheap, yet we don't have a lot of robots. And the thing that has been missing has been good enough Artifical Intelligence.

Whatever you are studying right now, if you are not getting up to speed on deep learning, neural networks, etc., you lose. We are going through the process where software will automate software, automation will automate automation.

Robots have already surpassed human beings in calculation and memory, but I have no doubt that the time will come when they will surpass in wisdom as well.

I definitely fall into the camp of thinking of AI as augmenting human capability and capacity.

You could claim that moving from pixelated perception, where the robot looks at sensor data, to understanding and predicting the environment is a Holy Grail of artificial intelligence.

Even companies like Baidu and Google, which have amazing AI teams, cannot do all the work needed to get us to an AI-powered society. I thought the best way to get us there would be creating courses to welcome more people to deep learning.

The big AI dreams of making machines that could someday evolve to do intelligent things like humans could - I was turned off by that. I didn't really think that was feasible when I first joined Stanford.

Baidu's AI is incredibly strong, and the team is stacked up and down with talent; I am confident AI at Baidu will continue to flourish. After Baidu, I am excited to continue working toward the AI transformation of our society and the use of AI to make life better for everyone.

We're making progress, but getting machines to replicate our ability to perceive and manipulate the world remains incredibly hard.

Artificial intelligence is one of 50 things that Watson does. There is also machine learning, text-to-speech, speech-to-text, and different analytical engines - they're like little Lego bricks. You can put intelligence in any product or any process you have.