ELECTRONICS: Fueling an active open source community with a flexible, fan-less and low-cost embedded development board, Digi-Key Corp. announced it is shipping Revision C of the popular BeagleBoard from BeagleBoard.org. The latest version offers increased design flexibility with twice the memory (256 MB RAM), additional high-speed USB port and an LCD expansion connector. Based on a Texas Instruments’ OMAP3530 processor, the BeagleBoard bridges desktop and embedded development by delivering laptop-like performance in a pocketsize, 3 x 3-inch form factor for innovative projects ranging from robots, netbooks and mobile Internet devices to entire Linux distributions and gaming frameworks. BeagleBoard Revision C (Digi-Key part number 296-23428-ND) is available for $149.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.