The Future of Robotics and Artificial Intelligence (Andrew Ng, Stanford University, STAN 2011)

(May 21, 2011) Andrew Ng (Stanford University) is building robots to improve the lives of millions. From autonomous helicopters to robotic perception, Ng's research in machine learning and artificial intelligence could result one day in a robot that can clean your house.

STAN: Society, Technology, Art and Nature, was Stanford University's prototype conferecne for TEDxStanford, and showcased some of the university's top faculty, students, alumni and performers in an intense four-hour event laced with surprising appearances and memorable experiences. STAN, modeled after TED, explored big questions about society, technology, art and nature in a format that invites feedback and engagement.

Stanford University:
http://www.stanford.edu/

STAN 2011:
http://stan2011.stanford.edu

Andrew Ng:
http://ai.stanford.edu/~ang/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

• Category

  Education

[mustseemovieclips]

If you freeze the video towards the end at 16:12 the guy speaking is also sitting in the audience on the left side. WTF?

[Karen Sheraton]

pendulum.exe, is a demonstration of hierarchical control, an application to a classical control problem. A pendulum is mounted on a cart so it can swing through 360 degrees. A motor on the cart can accelerate it left and right, and sensors are provided for linear acceleration, velocity, and position of the cart, as well as angular acceleration, velocity, and position of the pendulum. A six-level hierarchical control system controls

[JWY]

I support Andrew Ng's efforts, enjoyed this video, and respect his ideas. But we will not be able to coexist with entirely "natural" robots. They will eventually remove us when we interfere once too often in their activities. Asimov's three laws will be needed in the future we can survive and a completely natural learning AI will too often "grow a way" to bypass these constraints. We'll need strong software clearly designed and understandable in mathematical terms to provably confine behavior.

[JWY]

At 1/10 second per control input change no one, no person nor any computer anywhere, can control a helicopter. Bump that control/reaction rate up to a lot closer to 1/50 second and a purely mathematical approach is definitely possible. In fact there are autopilots for helicopters - so there. And no - the behavior for anything used in aviation is completely specified - there's no "let the computer guess how to fly" ( fly the president of the United States). It's done with specific algorithms.

[Karen Sheraton]

HAVE U LISTENED AND COMMENTED YOURSELF ON THIS? NOT WATCHED LISTENED AND FEL FREE TO COMMENT!

[Karen Sheraton]

and what it lacks is trust

[lettersandnumbers21]

they look similar, but they're two different people.

[Jordan Bennett]

twin