THIS WEEK IN UNEMPLOYMENT

The unemployed masses continue to reach new heights in aerospace achievement never seen by cube or paystub. Updated vicacopter.com with new photos, videos, & sourcecode.

So the MRF49XA we've battled finally got an upgrade. It's the MRF89XA &
it has a 32x bigger FIFO, hardware packetizing, hardware CRC, & now
requires a 12.8Mhz crystal so throw away all your 10Mhz crystals.

Work slowly resumes on neural networks for Marcy 1. This time, just settling for
feedforward prediction of navigation points. Have no confidence in it.
Once again, the problem with any completely artificial intelligence
feedback controller is computing the long term offset.



Now that we're optimizing CPU usage for neural networks again,
discovered if the sonar period is too long, it causes the audio
processing to exceed the cache & slow it way down.



The Aiptek P-HD got its 1st ground video of a difficult takeoff to
400ft & landing. Landing on the narrow slit between the weeds still
takes manual control. Extremely high wind caused pretty crazy navigation
errors on the takeoff.










Kept making demo videos in case someone ever read our resume. Standard
autonomous operations with VicaCopter in HD & very windy conditions.
Autonomous takeoffs, ascents, landings, hovers. Marcy maneuver didn't
work very well on that 400ft descent because of the wind.







The problem with wind is the high angle of attack causes GPS to lose
satellites. She dropped to 7 satellites at 400ft.

Finally, have some more sky writing. The star trails of Scorpio are deliberately visible in the background. It was always conspicuous in all our years of flying. Used to think it was a sickle marking death to anyone who ventured to the center of the galaxy.






The smile inducing technology really killed us in this shot.



So many diydroners are unemployed, it's time to start a group.


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Comments

  • Developer
    @jason, I think that in Jack Crossfire's set-up he puts most of the smarts in the ground station while the CPU on the Marcy(s) primarily read the sensors and communicate with the ground station so I don't think he has much limitation on processing power for the neural net.

    From what I read on Jack's vicacopter page, the primary motivation for using the NN was to get away from having to adjust PID values as conditions (or the platform) changed.

    A little over a year ago, I squeezed the lwneuralnet (the one that Jack used on vicacopter) onto an atmega128 (with 32K RAM) but almost nothing else was running on it and I think I only got the update rate to 10Hz (but then again, everything was using floating point)
    http://lwneuralnet.sourceforge.net/

    I didn't carry it any further than that I'm afraid because I had much larger problems (and still do!).
    Lightweight Neural Network
  • Moderator
    Great video, but I always feel like I'm going to toss my cookies when watching from the copter's perspective... Still say that looks like Napa area.
  • Developer
    I've been thinking about implementing a NN for ardupilot but I'm afraid our CPU choice is too limiting. How much power are you dedicating to it and how much control are you doing specifically?
  • T3
    zen and art of the diydrone...
  • Some high tech company would be crazy not to hire you.
    Good Luck
    Earl
  • this is funny.Deadly funny
This reply was deleted.