The ArduCopter Evolution Team is opened to all the pilots who want to explore, develop and test new features added to the official release of the ArduCopter firmware.
Anyone who wants to share freely, with an open mind, some ideas and software improvements for the ArduCopter firmware is welcome here.
JLN
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hi Arducopter fans there,i will try to give some suggestions regarding arducopter v2.6 before its release. Since there has been some time without any improvement about AHRs algorithms over recent arducopter versions. I think, the best place to begin is DCM algoritm itself.My suggestion is to combine DCM and quaternion methods with their most superior parts. I know there has been a marg quaternion algorithm, but it is unnecessarily complicated. We know that DCM is easy to understand and has a…
Read more…Is it possible to configure APM for use with a twin rotor helicopter?A friend of mine was wondering if it could be used with a Chinook type helicopter.He thought that maybe it would take two APM boards, in communication with each other, to perform control.I wonder if modifying the traditional helicopter firmware to re-mix or blend the outputs to two provide the required control signals for the two rotors.I have never looked at how the real Chinook system works, so I can only make guesses.Has…
Read more…Hello to All,I have tested and implemented successfully a neural network library for Arduino on the ArduPilot Mega board (APM2560), this is the neuroduino from Ted Hayes.This library work fast and the implementation is relatively simple:Neuroduino params: (network array, number of layers, Eta, Theta, debug)In attached a sample NN program above and the lib...So, you may begins to add some AI routines on the ArduCopter...Good neural network tests and enjoy,Regards, Jean-Louis NeuroDuino.zip
Read more…ArduCopter v2.4.1:beta test flight of LOITER (GPS Position Hold)Here a video of a LOITER test flight of the firmware ArduCopter v2.4.1 (beta) with the latest fix on STAB_D and Throttle.This version tested include the auto-land mod XP2Regards,Jean-Louis
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During the 3rd quarter of 2011, as a student, I have successfully followed the first online Machine Learning course teached by Prof Andrew Ng from the Stanford University. This was a very intense and exciting adventure and I have greatly improved my experience in this field of knowledge. I am very grateful to Prof Andrew Ng and his Machine Learning team from the Standford University.
Jean-Louis Naudin
Thanks DARPA we accept technology transfer from:
Autonomous Autorotation of an RC Helicopter
Pieter Abbeel1, Adam Coates1, Timothy Hunter2, and Andrew Y. Ng1 1Computer Science Department, Stanford University, Stanford CA 94305
2Electrical Engineering Department, Stanford University, Stanford CA 94305
We thank Garett Oku for piloting and building our helicopter. This work was sup- ported in part by the DARPA Learning Locomotion program under contract number FA8650-05-C-7261. Adam Coates is supported by a Stanford Graduate Fellowship
I attempted Dr. Ng's Machine Learning course while also getting certification training for MS SharePoint 2010 Admin & Infrastructure design,, way too much overload... So I backed off machine learning, but soon enrolled in Autonomous Vehicle course. I have ST32F4 from Element 14 on its way, It maybe able to handle some of his AI?
Andrews team is amazing, Only a handful of pilots can fly as well as his AI
Testing ACM 2.4 Heli for legacy Raptor with my secret sauce..
Remzibi OSD with Call_Sign every two minuets,
Stabilized camera control with operator nudge (3-way switch controls mix mode to Ch 5 roll & Ch 6 tilt.
Controlled with TG-9x with FrSky TM module, &
3D/DGPS lock for Ublox.
Installed Atolic Deveopment Lite waiting for ST324F4...
Chopping at the bit... while I debug missing #if statement.