I guess IF you were standing next to this fellow during his investigation, you'd probably have a far better appreciation for the engineering/programming dilemma. But, reading about it from the vantage point of several decades later, it seems that one would do just as well reading Homer or Cicero in their native text.
In general, I think most of these blogs are so "lingo-specific" that they lose much of their impact to readers NOT familiar with industry-specific terminology.
This is a good Sherlock Ohms story about using ingenuity to double the production on the conveyor. A lot of this type of optimization is done with intelligent tools these days. Not long ago, it all had to be done with brain tissue.
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.