Great technologies often get the hype, but often wind up not going anywhere. Take night vision. First introduced in the 2000 Cadillac Deville, it ranked third in a list of the automotive features consumers crave most, according to a recent J.D. Powers study. When night vision's market price ($1,800) was revealed, though, the technology plummeted to number 19. Consumers may think it's cool, but clearly aren't willing to vote with their checkbooks.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
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.