Contact
Gihub
If you are a Github user (or if you want to become one ^^), you can be notified of every new developments of the library.
Bug tracker
If you find a bug in the library, you need more explanation on a tutorial, or you have an idea of a new module, please, use this issue tracker.
Hall of fame
The first Aversive++ featured robot
Three layers of control systems, a trajectory manager, a path finding algorithm, a multi-agent-like strategy system, and everything working with a 4KBytes-sized RAM ! The following video has been recorded in 2014.
A four-legged robot using Aversive++ since 2014
The following robot use Aversive++ to manage the low level systems (sensors, servomotors).
Aversive++ winner of Boost Your Code 2015
This project was supported by Inria through its program Boost Your Code from september 2015 to june 2016.