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:
http://gizmodo.com/quadrotor
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 <[email protected]>
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
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FRIAM Applied Complexity Group listserv
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============================================================
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
"Technology today is the campfire around which we tell our stories."
Laurie Anderson
============================================================
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
