Discover Fawkes
Fawkes is a component-based Software Framework for Robotic Real-Time Applications for various Platforms and Domains.
Developed and used over ten years for cognitive robotics real-time applications like domestic service and industrial logistics robotics. It supports fast information exchange and efficient combination and coordination of different components to suit the needs of mobile robots operating in uncertain environments.
Please read the documentation how to start using and extending Fawkes.
The Fawkes Framework
Component-based Design
Fawkes employs a component-based approach for structuring and implementing the software and supports run-time loadable plugins to implement those.
Hybrid BlackBoard/Messaging Data Exchange
Information is shared within Fawkes by well-defined data groups via a blackboard. Commands are sent via messages. Support for event-based programming.
Multi-threaded and distributable
Fawkes has been optimized to exploit today's modern multi-core CPUs. It can be distributed running multiple instances on one or more machines.
Batteries included
Fawkes aims to provide the basic building blocks to get started quickly developing new robotic applications. An example is the Lua-based scripting environment to model behavior.
Used on various Platforms
Fawkes (or its components) has been used on a variety of platforms contributing to the success of several projects.
The Carologistics software stack of 2016 for the RoboCup Logistics League based on Fawkes 1.0.1 has been released. The software comprises all functional components necessary for the RCLL 2016 and the simulation integration based on Gazebo. 
After more than ten years of development we are happy and proud to announce the release of Fawkes 1.0.0. Roughly four years after the previous release it contains a large number of new software components, improvements, and new features. 
The Carologistics software stack of 2015 for the RoboCup Logistics League based on Fawkes has been released. The software comprises all parts necessary to play the game according to the rules of 2015 and includes the full simulation integration based on Gazebo. 
The RCLL Winter School 2015 was a success with participants from all over the world. 
