  Sensors play a fundamental role in achieving the complex behaviors typically
found in biological organisms. However, their potential role in the design of
artificial agents is often overlooked. This often results in the design of
robots that are poorly adapted to the environment, compared to their biological
counterparts. This paper proposes a formalization of a novel architectural
component, called a metasensor, which enables a process of sensor evolution
reminiscent of what occurs in living organisms. Even in online scenarios, the
metasensor layer searches for the optimal interpretation of its input signals
and then feeds them to the robotic agent to accomplish the assigned task.
