  Formalisms inspired by Quantum theory have been used in Cognitive Science for
decades. Indeed, Quantum-Like (QL) approaches provide descriptive features that
are inherently suitable for perception, cognition, and decision processing. A
preliminary study on the feasibility of a QL robot perception model has been
carried out for a robot with limited sensing capabilities. In this paper, we
generalize such a model for multi-sensory inputs, creating a multidimensional
world representation directly based on sensor readings. Given a 3-dimensional
case study, we highlight how this model provides a compact and elegant
representation, embodying features that are extremely useful for modeling
uncertainty and decision. Moreover, the model enables to naturally define query
operators to inspect any world state, which answers quantifies the robot's
degree of belief on that state.
