Adaptation, learning, and evolutionary computing for intelligent robots

There have been growing demands for the intelligent systems for many areas. In this lecture, the methodologies for the adaptation, learning and evolutionary computing will be shown to make robotic system more intelligent through Fuzzy, Neuro and Genetic Algorithm basisses. Robotic manipulators can generate the optimal trajectory automatically. Mobile robots can find the path and work cooperatively, by sensing the environments, scheduling the optional path and actuating properly. Some of the examples are also shown in this presentation.