Stanford Autonomous Helicopter Project

From Yann's Techno Toy Blog ...

Stanford Autonomous Helicopter Project has developed new reinforcement learning techniques to stabilize and control their helicopters. The developers have been able to teach their heli to perform just about every aerobatic figure imaginable. However, the heli has no on-board intelligence. Instead, data is fed from onboard GPS and IMU with serial outputs directly into Xbee Pro modules. The signals are received by a PC on the ground, which enables operator control via the training port of a conventional R/C transmitter.

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3D Robotics
Comment by Chris Anderson on August 24, 2008 at 7:45am
That's good news for Jack, who's been trying to do the same thing. Great to hear that the latency issues aren't a show stopper.
Comment by Marty on August 24, 2008 at 6:19pm
That's a similar setup to mine although I haven't moved on to helis just yet. I've got dat streamed back to the pc via Xbees and then instructions are sent via the training port.
Comment by Jack Crossfire on August 24, 2008 at 11:27pm
These guys can afford to run the XBee's in half duplex & use a zillion channel transmitter for the uplink. Using the XBee's in full duplex is another trick.


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