@SparkyWatt: I agree that this robot is going to have one big data problem on its hands to both amass and process all of the possible scenarios and data points in order to make any kind of informed decision about what solution to try or how exactly to go about fixing a problem. While I hate being negative about any kind of technology exploration, I'd say this is definitely a "work-in-progress."
It strikes me that this is more a database application than an algorithm. Humans, after all, sort through millions of pieces of data to do the MacGyver thing. From our point of view the concepts:
- A window may be an exit.
- Glass is breakable
- You have to throw a weight to break a window.
- You can't lift more than 45 pounds.
- A chair weighs about 10 pounds.
Are distinct ideas from thousands that we piece together to figure out that we can throw a chair through a window to escape through it. The big problem here isn't going to be coming up with a clever process for figuring this stuff out. It is going to be putting together a massive database of simple common facts that can be quickly integrated into plans.
I sure hope its equipped with Intelligent Headlights. I wouldn't want it blinded by rain or snow as it searches for a "pipe" to lever a smoking HVAC unit off some poor soul. http://www.designnews.com/document.asp?doc_id=247143 All kidding aside, this sounds way, way out these. How is this thing supposed to know just how truly fragile humans are to avoid inadvertanyly killing the trapped guy with that "oh-so-handy-and available" pipe?
GlennA, I have to agree. I didn't believe half of what McGyver did, so I find it even harder to believe a robot can do it. I'm also confused by the specs. The statement "ability to lift 100kg -- the combined weight of its two arms" is confusing. Does this mean the two arms together can lift 100kg and that they also happen to weigh 100kg? I'm familiar with the Schunk LWA 3 (the arms being used on this robot) and I know it can't lift that much (it's more like 6kg).
I think there's a lot of hand waving with the technical capabilites. It'll be interesting to see if they even come close to what's being touted. I suspect most of the work will be in software modelling of the environment and deducing what's relevant to accomplishing a certain task. That alone will consume all $900K. Hope to see great things come from this.
GlennA, I agree completely. Even the name "Golem" is a word that has negative connotations (e.g. dumb or helpless).
It's a nice idea, but I really would NOT like to see an autonomous robot until their cognitive ability is a LOT further along. And then I wouldn't like to see an autonomous robot because I don't know that I would trust it's motiviation (think Stuxnet).
Rob: I agree. I've never seen the television show but I'm familiar with the common phrase.
That's why I asked if it was used by the researchers. Unfortunately, an asst professor is quoted using it in the press release. It sounds like a fun reference but reads as a little trivial.
This sounds ambitious to the point of being too far-fetched. I think sometimes these projects are meant to evaluate 'bleeding-edge' technologies, determine the short-comings, and make a wish-list of new technologies.
If I'm locked out of my car, I may not necessarily want to use a chair or a crowbar to break the window to get in. So the question arises: Will the robot be judicious in its choice of solutions?
For 3D printing to make the jump from rapid prototyping to manufacturing, engineers will need to find easier ways to move products from their CAD screens to their printers.
Gigabit and PoE are two networking technologies moving ahead in tandem as industrial users power remote Ethernet devices such as IP security cameras at 1,000 Mbps over existing CAT5 cable.
New versions of BASF's Ecovio line are both compostable and designed for either injection molding or thermoforming. These combinations are becoming more common for the single-use bioplastics used in food service and food packaging applications, but are still not widely available.
From Dell / Intel® New Paradigms in Design Work Scott Hamilton, vertical market strategist for Dell Precision workstations, 5/2/2013 5
Early in my career, I worked as a draftsman and remember the days of drawing on vellum with numbered pencils and Mylar with plastic lead. This was a fun experience in the sense that I ...
I've been using workstations for more than 10 years and love finding ways to get more performance from my system. With demanding professional applications that require more power each ...
A lasting memory from my first job as an engineer in an auto assembly plant is standing on hard concrete at six in the morning, vending-machine coffee clutched in hand, listening to ...
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 radio show will show what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.
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