I agree on both counts, Rob. On a gut level, I don't feel comfortable giving up control to an autonomous car. On the other hand, I think that in a hundred years, people will look back at our era and view us as primitive for having put up with 30,000 highway deaths per year (and that's just in the U.S.).
Think of the lost time sitting behind a wheel in everyday commuter traffic that could be put to better use. It's a two-fold savings, because the autonomous vehicles will supposedly handle traffic more efficiently.
It sounds like a mixed message to me, too. I don't really get why automakers would want to encourage risky behavior. If drivers are breaking the law by texting or talking on the phone, then shouldn't they be cited? We don't make cars that accommodate drinking while driving, so why should we make cars that accommodate these habits?
Yes Jhankwitz, they have very deep pockets. I think that is why Jeremy Salinger of GM is pushing for the importances of drivers still being attentive, in the hopes of lessening their possibility of being held liable.
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.