The MIT robotic legs seem much more sophisticated. But when it comes to tripping, the challenge may be as great for the MIT legs as it is for the UofM legs. Ultimately, some sort of vision needs to accompany the leg movement. I think we're finding out just how sophisticated our natural world is. I was astounded watching my kids when they were little. They didn't have to be taught how to walk, just encouraged. Their legs knew exactly what to do.
When I watch the U of Michigan video, I see what looks like a rigid, fragile leg easily getting broken. Considering how much research has gone into reproducing the human, and other critters', gaits I'm surprised this team's research is still at such a basic level.
That's a great video, TJ. Says a lot about the difficulty of walking. However, we have the advantage of sight (most of us do) when we walk, so we can make adjustments for uneven surfaces because we can see them. The process of walking with the addition of sight is that much more complex.
Looks to me like someone in robotics finally figured out that the simple act of a human walking involve more than just the legs. - - - Torso twisting, arms swinging and occasionally a hand reaching out to a rail or other nearby objects for stability - - - What looks so simple is impressively complex.
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.