I saw an article last year that predicted that McDonalds will have unattended robotic resteraunts within a decade. Eventually robots and computers, which are already impacting employment, will be doing a lot more jobs than they do now. Those jobs will be gone forever. What will we do when our workforce becomes so large relative to the jobs available, that there is constant double digit unemployment?
Good point, Cadman-LT. I've always thought robots were machines that exhibit human qualities. Welders and other factory machines are often called robots partly (I think) because their movements replicate human tasks.
So basically, when I think robot, I think of a human-looking machine. I don't think about robotic welders and whatever, I just picture a human-looking machine. There are a lot of machines that are not called robots, but when you make a machine look human, then they call it a robot. See what I mean?
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
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.
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.