  Formalisms based on quantum theory have been used in Cognitive Science for
decades due to their descriptive features. A quantum-like (QL) approach
provides descriptive features such as state superposition and probabilistic
interference behavior. Moreover, quantum systems dynamics have been found
isomorphic to cognitive or biological systems dynamics. The objective of this
paper is to study the feasibility of a QL perception model for a robot with
limited sensing capabilities. We introduce a case study, we highlight its
limitations, and we investigate and analyze actual robot behaviors through
simulations, while actual implementations based on quantum devices encounter
errors for unbalanced situations. In order to investigate QL models for robot
behavior, and to study the advantages leveraged by QL approaches for robot
knowledge representation and processing, we argue that it is preferable to
proceed with simulation-oriented techniques rather than actual realizations on
quantum backends.
