Bill Budge Quotes

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

Formula creation is magnitudes harder for computer algorithms than actually executing within a formula. But once the genre is created and the formula is known, then the computer can do the repetitive task of executing within the genre.

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 big mathematical challenge for flying robots is making them move in six dimensions: x, y, z, pitch, yaw and roll. We create 3-D obstacle courses in the lab - windows, doors, hula-hoops taped to posts - and ask the robots to fly through. It looks like a Harry Potter Quidditch match.

I had the honor of speaking with Asimov. The album ended up being something not directly related to Asimov, but related instead to the concept of the power of robotics.

No one knows when a robot will approach human intelligence, but I suspect it will be late in the 21st century. Will they be dangerous? Possibly. So I suggest we put a chip in their brain to shut them off if they have murderous thoughts.

I will argue that in the literal sense the programmed computer understands what the car and the adding machine understand, namely, exactly nothing.

The basis of computer work is predicated on the idea that only the brain makes decisions and only the index finger does the work.

No operational commander should have to assign a soldier a task that could be done as well by a computer, a remote sensor, or an unmanned airplane.

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

Robots already perform many functions, from making cars to defusing bombs - or, more menacingly, firing missiles. Children and adults play with toy robots, while vacuum-cleaning robots are sucking up dirt in a growing number of homes and - as evidenced by YouTube videos - entertaining cats.

Computers will be able to do all the mundane tasks in our daily lives.

Robots are good at things that are structured.

Model. Two mobile eyes in a mobile head, itself on a mobile body.

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

Yes, I see the Mobile Base System really is the shoulder of the arm. The arm is right there, like a human arm. It's really funny to look at the similarities between a human arm and the Canadian robotics arm.

The computer would do anything you programmed it to do.

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

Any job that can be done by an illiterate can be done by a machine.

The idea behind digital computers may be explained by saying that these machines are intended to carry out any operations which could be done by a human computer.

I just thought making machines intelligent was the coolest thing you could do. I had a summer internship in AI in high school, writing neural networks at National University of Singapore - early versions of deep learning algorithms. I thought it was amazing you could write software that would learn by itself and make predictions.

In the end, I expect we'll have AI that is better than we are at nearly every narrow task but which are still our tools, not our masters.

A calculator is a tool for humans to do math more quickly and accurately than they could ever do by hand; similarly, AI computers are tools for us to perform tasks too difficult or expensive for us to do on our own, such as analyzing large data sets or keeping up to date on medical research.

We really believe that long-term, the way AI will drive is similar to the way humans drive - we don't break the problem down into objects and vision and localization and planning. But how long it will take us to get there is questionable.

Automation is driving the decline of banal and repetitive tasks.