For our "fly by night" colleagues.
A "swarm" of nanodrones flying in formation and navigating through obstacles. http://www.youtube.com/watch?v=FubP0KzeS4w -tj ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org |
Tom -
I'll see your formation flying and raise you the building of a 6m tower with similar devices. Who says Andy Goldsworthy can't be replaced by robotics? http://www.zeitnews.org/robotics/flying-robots-build-a-6-meter-tower.htmlThe venue for both videos looks amazingly like our new space at SFX? When can we expect Peter Lissaman to lead the GUTS or Cafe Scientifique kids to build a swarm of tiny Pterasaurs for Stephen and Josh to lead a Supercomputing Challenge Team to program build an Andy Goldsworthy-worthy environmental sculpture as specified by Fred and Becky? Isn't that what SFx was conceived to foster? - Steve For our "fly by night" colleagues. ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org |
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In reply to this post by Tom Johnson
This is *exactly* why machine learning is the most popular of the Stanford online classes. Gizmodo goes into the ML a bit more:
Most of the optimizations are based on spacial partial derivatives being fed into a gradient descent optimizer. In the ping-ball catch, the optimization is a bit more complex: it has to create a good model of the ping ball parabola and intercept it. It may be doing continuous tracking, however, simply because its own blades creates turbulence.
-- Owen
On Sat, Feb 25, 2012 at 2:14 PM, Tom Johnson <[hidden email]> wrote: For our "fly by night" colleagues. ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org |
Wow. Impressive! (But you must remember, my recollections of robotics go back to SRI's Shakey.)
P. On Feb 26, 2012, at 3:38 PM, Owen Densmore wrote: This is *exactly* why machine learning is the most popular of the Stanford online classes. Gizmodo goes into the ML a bit more:
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On Sun, Feb 26, 2012 at 8:35 PM, Robert Holmes <[hidden email]> wrote: Impressive indeed. It will make a marvelous weapons and surveillance platform. Or should we just not worry about things like that? Well, I've stopped anyway. Lets look at its performance characteristics:
..but it could easily annoy you to death! I understand your sentiment but they don't hold a candle to computers and the internet, do they?
-- Owen ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org |
If they had a USB plug-in pigtail - they could cross any air gap.
On Feb 26, 2012, at 10:21 PM, Owen Densmore wrote:
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More on the drone front:
-- Owen
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Makes me want to learn to shoot a shotgun.
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In reply to this post by Tom Johnson
Here's a swarm of nanodrones playing the James Bond theme.
http://www.guardian.co.uk/technology/us-news-blog/2012/mar/01/flying-robot-quadrotors-ted-video On 2/26/12, Tom Johnson <[hidden email]> wrote: > For our "fly by night" colleagues. > > A "swarm" of nanodrones flying in formation and navigating through > obstacles. > > http://www.youtube.com/watch?v=FubP0KzeS4w > > -tj > ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org |
And here's a DARPA-sponsored nano-hummingbird for surveillance.
—R P.S. Remember that it's only those who have something to hide who object to surveillance. Good citizens would never object to monitoring; government, private or otherwise.
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