In general this class could have been made better by reducing some of the overlap and repetition, expanding the slides for self documenting presentation, and perhaps gaining enough time to add another 22 or so slides either in one session or across sessions where a 'typical or hypothetical' Industrial Control application was walked through, from sensors to actuators to processors to software to standards and etc. Many don't seem familiar with 'ladder logic' I believe there are many other concepts which could have been touched on and integrated to make a good course even better.
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.