Great story, Beth. Now that the simulation is finished, is there a feeling that they would still need to build a physical prototype, or can they go straight to building the first system? I know many people in the auto industry who do both: They use simulation to study it, then build a better physical prototype.
There are obviously strong arguments on both sides. That was partly why Dassault Systems liked the project, according to the person I spoke to there. Given that there were environmental considerations both for and against Mougin's vision, they felt it was a perfect candidate to exploit 3D simulation to see whether or not the concept was even feasible.
Interesting idea. If you can afford to try it, go for it. I wonder what the environmentalists are going say. Dragging big "ice cubes" out of the polar regions might speed up "global warming" though....
Agreed 100% Loring. I'm not sure whether the simulation effort does more to prove out the power of Dassault's virtual prototyping suite, including CATIA, as you well note, or the potential of Mougin's vision. In either case, it makes for an interesting story, especially when you get the first-hand glimpse of what's possible in the virtual 3D world.
Dassault was an interesting choice for a company that could implement this kind of project. Still, I'm always a bit skeptical of large-scale geo-engineering projects for solving various global-warming, carbon-capture, water-transport issues, as they often fall victim to the old Law of Unintended Consequences! Still, a worthy demonstration for the power of CATIA.
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.