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This paper proposes a quantum mechanics inspired bidirectional associative memory.We apply fuzzy logic in bidirectional associative memory.We show that the proposed model is satisfying two postulates of quantum mechanics and it is superior to conventional models about Memory Capacity and noise tolerance by simulation experiment.Moreover,we construct the robot system that can associate based on gesture and object.Steady-state genetic algorithms(SSGA)are applied in order to detect objects via image processing.Spiking neural networks are applied in order to memorize the spatio-temporal patterns of gesture.The result of experiment show that proposed method can apply to smooth communication between human and robot.