The Behaviour Control Framework is a generic platform-independent C++ framework that implements a control architecture consisting of a hierarchical network of behaviour layers. These layers each contain behaviours that can inhibit one another and interact to achieve control. A full discussion of the structure and ideas behind this framework can be found in the Doxygen documentation that comes with the release. This documentation is well worth a read before you decide if the library is for you!

The structure and implementation of this library focuses on the application of the inhibition-based behaviour control architecture to real-time control loops, but can reasonably be adapted for a wide variety of other artificial intelligence applications. Emphasis has been placed on having very low overhead so as not to hurt overall system performance, while still maintaining ease of use.

I welcome all feedback, suggestions and bug reports!
Email: pallgeuer[at]ais.uni-bonn.de

Features

  • Small and highly efficient performance-oriented cross-platform C++ library
  • Independent code with few external dependencies
  • Can be used to implement behaviour control code in the form of a hierarchically layered behaviour-based control architecture
  • Tried and tested by the author on various robotic platforms
  • Documented using the Doxygen documentation generation tool, including code samples and a discussion of all usage caveats
  • Well-commented library source code to allow easy modification/extension by users (who are encouraged to submit improvements/bug fixes to the author, so that the library can be improved!)
  • Academic paper on the framework: Hierarchical and State-based Architectures for Robot Behavior Planning and Control, published in Proceedings of 8th Workshop on Humanoid Soccer Robots @ Humanoids 2013

Project Samples

Project Activity

See All Activity >

License

BSD License

Follow Behaviour Control Framework

Behaviour Control Framework Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Behaviour Control Framework!

Additional Project Details

Intended Audience

Developers, Engineering, Information Technology, Other Audience, Science/Research

Programming Language

C++

Related Categories

C++ Frameworks, C++ Robotics Software, C++ Libraries

Registered

2013-09-27