It was always the cartoonish departures from real physical reality that bothered me. But my wife always watched it because of the guy's looks. Go figure.
Robots won't become an agressive threat until they become self-aware. Likewise, people unable to pay attention long enough to become self-aware are very easy to enslave. That is the reasoning behind the training of the current generation to not be able to focus attention for more than a second or two. They won't be able to discover that they are slaves. Think about that, and become uneasy!
Thanks, Watashi, that's funny. I also think there are some unwarranted, anthropomorphizing assumptions in the comments here about how much independence a machine can actually have. It's one thing to use an algorithm, perhaps as simple as a decision-tree type of analysis, for assessing simple physics (levers, e.g.), amounts of force required, etc. It's quite another to assume, or posit, that a machine can have a separate sense of self and self-awareness.
Watson did win against Ken Jenning, and the other champion whose name I can't remember. The game was fairly structured, but still required sifting through a lot of facts very quickly. But Watson was the size of a room, not a mobile robot.
The robot may be able to do more and better than the specific task that it's tooling was intended for, which could be very useful in an un-anticipated situation. BUT the creativity of the remote operator is what will be the really vital part. That is similar to the way a good engineer is able to use good engineering tools, but a poor engineer is only able to look at the tools. IT is all about creativity and insight, of course the more adaptive robot will wind up being much more useful.
Unfortunately the Macgyver guy used to routinely violate all kinds of physical realities. CReative? Certainly, but Correct? Very Seldom.
Good point, William. My colleague Beth pointed out potential drawbacks to this type of robot in a comment below. It definitely remains to be seen how this is executed to determine how successful and, as you pointed out, how creative a robot can be given various scenarios.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.