Paper Title
Cognitive Architectures for Humanoid Robots that Allows the Automatic Acquiring of Knowledge by Generating a New Domain Model

Autonomous robots that are capable of making adaptions to a novel environment are needed. This research plan to develop a robot cognitive architecture that allows the automatic acquiring of knowledge by creating a new domain model and utilizing symbolic reasoning. The research objective is to develop a middleware that facilitates the automatic learning process, employs the symbolic reasoning, and supports Rosplan nodes during lifespan in domain maintenance and knowledge update. The outcomes of this research will open the door to realize high-level cognitive behaviour in real time dynamic AS. The system validity will be evaluated by Operating the robot under uncertainty and with non/partial information of the world. Keywords - AI planning, learning, PDDL, domain model,ROS, symbolic reasoning, ROSPlan, AS.