You don’t hear much about SAP’s PLM offering, but there was some interesting news on that front this week. SAP is licensing and integrating Right Hemisphere’s 2-D and 3-D visualization technology into its PLM Solution to serve as the base for viewing, collaborating and publishing graphical product data. The technology will surface in the next release of SAP PLM, slated to ship later this year. The pair are also working on tighter integration between their products, which will enable SAP users to incorporate additional Right Hemisphere software products into their IT infrastructures for help with 2-D and 3-D product graphics authoring and publishing. By incorporating Right Hemisphere’s Deep Server product, for example, companies can get a holistic and visual view of their product data, including pricing, ordering and service information. Deep Server automatically merges visual data from engineering and text-based data from SAP to create this holistic view.
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.