Specialising not generalising AGAIN!
This will be funny to watch, I'm just waiting for the cardboard cutout meant to represent little suzy on her way to get some sweets to get mown down by one of them!
Well aint that the way, I find myself agreeing with Toms comments above. Instead of designing these machines to operate in ANY environment, they'll have been especially designed to compete on this course, and no other.
The reasoning for this - the premise of the challenge is about the first team to come up with a system that completes the course - all for a big cash prize.
Well if I were designing something like this for moolah, I'd make damned sure it gets around this course better than any other team, the only way of realistically doing this is to design it to specialise instead of generalise.
Meaning that all the research that comes out of this will be for nothing - that is unless the enemy (in the eyes of DARPA) lives in an EXACT replica of their challenge course!
But then again I could be wrong - but to prove the point, I sure hope DARPA change some of the 'parameters' of the course secretly before it begins.
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I recall that one of the teams, during the previous desert challenge, actually programmed in a complete, high accuracy path for their robot to take, as given to them shortly before the course began - instead of letting the car figure it out with road network processing and only a general set of nav points.
Not only that - what the hell is it with all the cameras, radar, laser, gps sensors etc??? If they really were 'intelligent' then all they'd need is a pair of eyes (normal visible spectrum only), and maybe a GPS satnav (in my case).
DARPA should introduce this restriction in a following challenge, after things improve significantly.