Representation of dynamic situations in the Robot’s Mind for Human-like interaction with the environment: autonomous navigation

Abstract

The Compact Internal Representation (CIR) the- ory has been recently proposed as a cognitive basis for robots and artificial agents which interact with dynamic complex environments. This paper discusses the conceptual basis of the CIR and the explanations provided by the theory for the way in which humans interact with the world. The conclusions have been tested in robot navigation experiments, proving the feasibility of autonomous robots capable to navigate by interacting with time-changing environments in a human-like manner.