Ken Goldberg Quotes

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.

Robotics are beginning to cross that line from absolutely primitive motion to motion that resembles animal or human behavior.

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.

AI-assisted driving is a perfect platform for advancing fundamental human-centric artificial intelligence research while also producing practical applications.

Even if we wanted to imbue an autonomous vehicle with an ethical engine, we don't have the technical capability today to do so.

Artificial Intelligence (AI) is the science of how to get machines to do the things they do in the movies.

I think that the artificial-intelligence people are making a lot of noise recently, claiming that artificial intelligence is making huge progress and we're going to be outstripped by the machines.

You may not realize it, but artificial intelligence is all around us.

Someday in the distant cyborg future, when our internal and external memories fully merge, we may come to possess infinite knowledge. But that's not the same thing as wisdom.

Hollywood likes to imagine robots as mechanical copies of ourselves - which is a terrible idea.

AI does not keep me up at night. Almost no one is working on conscious machines. Deep learning algorithms, or Google search, or Facebook personalization, or Siri or self driving cars or Watson, those have the same relationship to conscious machines as a toaster does to a chess-playing computer.

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.

Don't expect to be able to upload your cat's brain into your Roomba any time soon.

If you want to solve very complex problems, you will have to end up letting machines work out a lot of the details for themselves, and in ways that we don't understand what they are doing.

By 2029, computers will have emotional intelligence and be convincing as people.

I combine magic and science to create illusions. I work with new media and interactive technologies, things like artificial intelligence or computer vision, and integrate them in my magic.

When you apply computer science and machine learning to areas that haven't had any innovation in 50 years, you can make rapid advances that seem really incredible.

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.

When David Marr at MIT moved into computer vision, he generated a lot of excitement, but he hit up against the problem of knowledge representation; he had no good representations for knowledge in his vision systems.

I have been motivated by this idea since I was a kid that if we invented machines that were created in the way that people are - were aware, have free will, inventive machines, machines that would be geniuses - potentially, they could reinvent themselves. They're not just applying it to other things - they could actually redesign themselves.

There are an endless number of things to discover about robotics. A lot of it is just too fantastic for people to believe.