Modular robot control environment

The MOdular RObot COntrol environment (MOROCO) relies on the C++ programming language and provides an artificial neural network library. MOROCO is used to develop neural controllers for different robots. The very same controller code can now be tested in simulation and on real hardware, which allows speeding up the development process. The modular robot control environment also allows to exchange robots and controller in a plug-and-play manner where parameters of the simulation and real robot can be observed and changed online. MOROCO is interfaced to LPZRobots, a physically realistic simulation toolkit, for simulating robots. MOROCO consists of two part: Gorobots (containing robot control examples) and Lpzrobots (containing robot simulation) can be downloaded from GitHub . Here is installation Guide.

MOROCO has been initially developed at the Emmy Noether Research group for “Neural Control, Memory, and Learning for Complex Behaviors in Multi Sensori-Motor Robotic Systems” at Bernstein Center for Computational Neuroscience, Department for Computational Neuroscience, Third Institute of Physics-Biophysics, the University of Goettingen. The group was headed by Dr. Poramate Manoonpong. Note that Lpzrobots has been developed by Research Network for Self-Organization of Robot Behavior in Leipzig, Göttingen and Edinburgh