Comment by Howard Gordon on June 21, 2009 at 11:31pm

Comment by H. Stanford on June 22, 2009 at 12:00am

Damn I wish this was open source. It looks amazing, but building these things is half the fun!

Really exciting product though, a year ago this would have cost $3000+.

Comment by Jack Crossfire on June 22, 2009 at 2:05am

Whew. Thank God I didn't waste money on last week's crummy, obsolete Wii Motion Plus.

Comment by Angus Peart on June 22, 2009 at 2:15am

Looks just like what we are all using anyway, just in a small package and with a STM32 processor onboard. I would have expected more than 200Hz though.

The price would be good is it was open source, otherwise it's about $200-300 too expensive.

Comment by Michele on June 22, 2009 at 4:17am

interest is update this with ardupilot

Comment by dydx on June 22, 2009 at 4:47am

probably in another year they'll be cheaper than the fma copilot :) ...

Comment by John Brashear on June 22, 2009 at 5:08am

Hey guys, I just noticed that our product was posted on your website. I have seen some confusion as to the difference between an AHRS and an IMU. An IMU consists of an orthogonal instrument cluster of 3-axis accelerometer and gyros. The UAV DevBoard is a great example of an IMU. An AHRS is an IMU combined with an attitude computer that takes the filtered measurements from the IMU and solves the attitude equations. Different algorithms exist to solve the attitude equations, requiring a minimum of two vectors, gravity and magnetic. In this case we use a quaternion based Extended Kalman Filter. The quaternion based algorithms give better performance due to their absence of any mathematical singularities, and the Kalman filter eliminates the drift in the gyros.
You can checkout a demonstration of the VN-100 at www.tinyurl.com/vectornav

Comment by Michele on June 22, 2009 at 5:17am

Hi John interesting work, compliment.
Can also be used to experiment of balance robot (type sagway)?

Comment by bGatti on June 22, 2009 at 5:34am

Michele,
Pretty sure you don't need half of these DOF for a segway.

One gyro for sure, anything else, I'm not so sure.

Comment by John Brashear on June 22, 2009 at 5:41am

Hi Michele,
Then VN-100 would very work well for a balance robot. One of the difficulties in building a robot of this type is dealing with the gyro drift. With the VN-100, the onboard kalman filter stabilizes the gyro to give you a drift-free angular rate solution. You can run the angular rate output of the sensor along with the pitch angle straight into your control loop. In the coming months we will be posting example code for various projects to help people become familiar with how to use our sensor. A balancing robot sounds like a great candidate for a one of these example apps. If you guys think of any other apps that you would like to see examples for let me know.

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