Cooking, especially holiday cooking, is something I enjoy doing. As a friend of mine put it, “cooking is a creative endeavor with an immediate payoff”. Well said, and a nice contrast to silicon projects with 3 year design cycles and no tangible payoff.
One thing I’ve never made before is gingerbread, which certainly means that I’ve never made an autonomous gingerbread robot that can steer around a tabletop and avoid falling off by sensing when it is close to the edge. However, you can rest easy knowing that this task has been accomplished, and fully documented on Instructables, by “Iculus” and an unnamed conspirator. Be sure to click the link that takes you to the video.
The final showdown is under way in our first-ever Gadget Freak of the Year contest. Who will win an all-expenses-paid trip to the Pacific Design & Manufacturing Show? It's up to you, dear readers, to tell us.
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.