Abstract
In robotics, chemical plume tracing has been a challenging problem since odor distribution is very complex. Male silkworm moths have the ability to search for females by tracing their pheromone plumes. To investigate the moth's brain adaptability to modify its behavior, we identified the brain as a dynamic model by using a brain-machine hybrid system, which was composed of a moth's brain and a robotic body. As a result, the brain has the ability to keep the angular velocity responses constant. Then we evaluated by computer simulations whether the localization performance was related to the angular velocity, which was one of the behavior parameters. In conclusion, adjusting the angular velocity of robots to the average angular velocity of moths potentially improves the localization performance.
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