Distributed NAO robot navigation system in the hazard detection application
Advanced robot control algorithms, that are based on sensor data fusion and a lot of processing, require high computational power. Hence, most of the modern robots have their own highly efficient computers. It makes the service and assistant robots costly and still unavailable for the most of the home users. In this paper the navigation system of the humanoid NAO robot is presented that is distributed through the robot and the cloud. It reduces the cost of the particular robot and makes it affordable for customers. Furthermore, the multi-agent task specification and implementation method is proposed and illustrated on an example of hazard detection task - the assistant robot application to help the elderly people to dwell at home.