Sensors don't just make vehicles more comfortable. Banner Engineering's racing Pontiac GXP.R puts a customized Banner long-range optical sensor on each corner of the car's front end to measure its downforce, the downward pressure that makes the car hug the track. The greater the downforce, the faster the car can go through curves and turns. During practice runs, the car collects a stream of data about the changing distance between the car's front end and the track. Crews then modify the car's tires and suspension to fit the track's combination of curves and straights.
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.