Morphological crossover is a genetic algorithm technique used in evolutionary robotics to combine the structural features of two parent robot designs to create offspring with potentially advantageous traits. This process allows for the exploration of a broader range of morphological possibilities, thereby facilitating innovation in robot design. By mixing components like limbs, sensors, or body shapes, morphological crossover can lead to improved performance and adaptability in robots.
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