Robotic contests are always a big draw for engineers, and they’re seen as a great way to get youngsters interested in science and technology. Lego Mindstorms are on display in Texas at NIWeek 07, with teams ranging from 11-year-olds and high school students to professional engineers.
They’ll be competing on a course used to teach Ohio State University engineering students how to program. The Mindstorm robots must track a line to find a colored block, then figure out what color it is and deliver it to a bin coded for each color. Teams will be given 45 mins to program their robots.
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.