Predictive Information for self-organizing robots using wireless connected embedded-controller-boards: a technical point of view

The predictive information as a measure for the behaviour of self-organizing robots enables on the one hand the ability to evaluate their cognitive abilities. On the other hand the neural net controlling the robot is able to use this measure as an error function in order to obtain a good behaviour. The purpose to applicate the theoretical results to real robots is limited by several constraints such as computation power or time-critical implementation complexity. An introduction of a solution of a hardware platform for real robots shows how this problems are dealed successfully with a matter.