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Homeostasis keeps animals alive; it is a fundamental process that allowsanimals to adapt quickly to their environment. Artificial homeostasis can beused to help robots adapt to changing environments. Previous attempts atdeveloping artificial homeostasis for robots were driven by mimicry of thebiochemical machinery that drives homeostasis in humans. By consideringhomeostasis from a cognitive perspective, we develop a comparatively simplerobot controller named CogSis (COGnitive HomeostaSIS) and demonstrate that itcan provide homeostasis to a robot, even when there are conflicting needs. Wepresent experiments showing that a robot running CogSis is able to learn fromprevious experiences and use them to influence future behaviour; can maintainits charge level while attending to another task (warming itself in an areaseparate from the charging station); and is able to maintain its charge levelwhile avoiding a conflicting need (keeping cool, when the charging station isplaced in a hot region of the environment). Results are presented in simulationand from a real robot platform.

Cognition-inspired homeostasis can balance conflicting needs in robots