Battle Heat: Competitors vie for a
victory at NI Week's annual Robolab event.
Austin, TX—The palm-sized Lego rover bounces off the wall and rounds a corner, heading towards a corner without side barriers. A standing-room-only crowd wonders whether the high wheels mean it will take the bumpy shortcut, or whether the programmers want their vehicle to take the long, smooth road. Robolab (www.ni.com/company/robolab.htm) was first conceived as a way to get kids interested in engineering, but the applause, sighs, and shouts from NI Week attendees prove that there's a big appeal for adults. Fourteen teams, ranging from teachers to brand new NI employees to college engineers have built vehicles over the course of six hours. Some, like the high school team that has matching team T-shirts, have done this quite a few times, while others prove that whether you're 12 or 50, it's possible to fail in front of a crowd without feeling embarrassed. During the year, when scores of NI employees go to local grade schools to teach kids and teachers how to build and program motorized robots. It's a big thing, with 50 teachers attending a summer course in programming and as many as 500 students and parents coming to NI for the big finale showcase of the vehicles. The focus is on learning, so there aren't any competitions.
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.