Joanne Pransky was at the International Association of Amusement Parks and Attractions' (IAAPA) annual trade show in Orlando in November, pitching park operators and editors alike on the cool features of Robocoaster, one of the industry's newest and most novel rides. "It kind of reminds me of Faye Wray in King Kong's hand," she said. That was an apt description of the servo motor-controlled ride. Because it relies on no defined path or track, engineers are able to thrill riders with a series of loop-the-loops, double-back somersaults, figure eights, and other unpredictable motions more closely resembling that of a Hollywood animatronic than a conventional amusement park ride. A consultant, humorist, and self-proclaimed "Robo-psychologist," Pransky herself is a well-known personality in the robotics world, partly because of her quirky personality and mostly because of her passionate desire to bring robots to the masses—or rather prepare them for it. "Industrial robots are in wide use, and most engineers understand the underlying technology. But your average person on the street hasn't had much opportunity to interact with robots, outside of what they've seen on TV," says Pransky, who just bought a Rhoomba robotic vacuum cleaner to clean her 1,700 sq-ft house. To get the word out, she does marketing and public relations work for robotics companies, did a stint as a commentator on Comedy Central's Battlebots show, runs a website (www.robot.md) about robotics, and performs the occasional publicity stunt. One of her latest stunts: Entering her AIBO robot in a dog show in Florida. Next up: Getting robots on late-night television, a mission Asimov himself certainly would have appreciated.
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.