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NASA Boosts AI For Planetary Rovers
transcendent writes "According to Space Daily, NASA is working on increasing the ability of future rover's AI. From the article: 'It now takes the human-robot teams on two worlds several days to achieve each of many individual objectives... A robot equipped with AI, on the other hand, could make an evaluation on the spot, achieve its mission faster and explore more'. Sounds like a good idea, but the article continues, 'Today's technology can make a rover as smart as a cockroach, but the problem is it's an unproven technology'. Another article about autonomous rovers being developed by Carnegie Mellon University is here."
Radio contact broken when the rover hides under a rock...
'It now takes the human-robot teams on two worlds several days to achieve each of many individual objectives... A robot equipped with AI, on the other hand, could make an evaluation on the spot, achieve its mission faster and kill off the remaining crew members with higher efficiency.'
-- "I'm not a religious man, but if you're up there, save me Superman..."
http://efil.blogspot.com/
1. A robot may not injure a cockroach or, through inaction allow a cockroach to come to harm.
2. A robot must obey the orders given it by cockroaches except when such orders would conflict with the First Law.
3. A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.
Scary...
So the only thing left after the next Big Bang will be Rovers? When I flip on the kitchen light, will little mechanical eyes blink and then instantly stainless steel wheels spin/clatter across the floor?
The more famous quotation (which I suspect is the root of the 'cockroack' descriptor) is: "Robots today have the collective knowledge and wisdom of a cockroach... a retarded cockroach... a lobotomized, retarded cockroach." -Dr. Michio Kaku
People wanting to get some feel of AI, take a look atl ;)
http://www.ai-junkie.com/ann/evolved/nnt1.htm
It's a small app that automagically learns minesweepers to
pick up mines
They have trouble with proven technology like calculators.
1 inch = 2.54 cm
Uh, I sincerely hope that you are trolling!
I don't care what software runs on the rovers embedded computers because:
* these robots won't reproduce.
* the poluting materials (ie rover bodies and lander) are already there.
* current AI techniques might just about make a desicion about whether to take a photo or make a soil sample, given a preprogrammed embodyment, but will *NOT* be creating any novel, intelligent behaviours.
I wouldn't worry about AI just yet.
Autonomy will just cut out the 5 minute lag between action and effect on any data sent to and from mars. Think about that next time you feel like your internet connection is too slow.
I do a Ph.D. in an AI-related field at the moment, and all I can say is: Don't hold your breath. While it is true that AI has made significant progress, a few remarks are in order.
First, the "I" in AI really shouldn't be there. When people talk a diffucult decision problem (e.g. some pattern recognition problem), there comes the point where somebody will say, with a solemn voice: "So, what if we use Neural Networks?" (you can practically hear him pronounce those capitals, while he's creaming his pants at the mere thought of his new awsome intelligent system). People often assume that, because a neural network is a very simple and poor analogy of the brain, that it must have some "intelligence".
Guess what? A neural network is a simple nonlinear function. Period. Training such a thing is nothing more than estimating its parameters by minimizing some (usually quadratic) cost criterion. When you put something in, you merely evaluate a rather simple nonlinear function. There is no intelligence involved!
And then people say: "Yeah, but we have different things as well, such as clustering methods, radial basis function networks, Bayesian (belief) networks, support vector machines, evolutionary algorithms, etc,". They too, do nothing more than estimating parameters (of selecting representative examples) based on the statistics of the problem at hand.
There is a good reason for the fact that "AI" researchers themselves often refer to their field as "machine learning", rather than AI. If anything, I'd call AI "AS", for Applied Statistics, because most of the methods we use are either pure of augmented statistics.
That said, machine learning has achieved some nice things. We can do some simple decision-making, pattern recognition (e.g. face detection) and emulate some limited insect behaviour. There even are some limited commercial applications. But we should be very aware of the fact that most "spectacular" results are merely lab results. I work on face detection myself, and I can tell you that "the real world" (natural photos for me) is a bitch as far as applying methods is concerned.
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"Creating strong AI software is a very exciting and challenging problem, and it inspires us and our students to work on this bold effort," said noted artificial intelligence expert professor Milind Tambe of the University of California, Los Angeles, who has worked with Rajan."
I very much doubt that they are talking about strong AI there. ( Arguments for Strong AI).
I rather believe he is more on the weak side.
But, well, he is a noted expert.
CC.
def. The two main varieties of AI are called "strong" and "weak". Strong AI argues that it is possible that one day a computer will be invented which can be called a mind in the fullest sense of the word. In other words, it can think, reason, imagine, etc., and do all the things that we currently associate with the human brain. Weak AI, on the other hand, argues that computers can only appear to think and are not actually conscious in the same way as human brains are.
loc. cit.
TaijiQuan (Huang, 5 loosenings)