We have developed a brain-machine hybrid system (BMHS) that can solve the chemical plume tracing (CPT)
problem using the micro brain of a male silkworm moth. The purpose of this system is to study adaptability, which
is derived from interactions between the micro brain, body, and environment. In this paper, we describe a method for
developing the BMHS. The BMHS is a kind of cyborg system in which the body of a living being is replaced with a
mobile robot and the brain of the living being is used to control the robot. The artificial body is controlled by motor
commands of the original body that are extracted from a signal transmitted by the brain. For this purpose, we developed
a small measurement system for recording the signals and established a method for reconstructing the motor commands
from the signals. We observed that the BMHS can imitate a silkworm moth and then confirmed that the system can solve
the CPT problem in an experimental environment. Our system has the potential to elucidate the principles of adaptability
through the behavior of the silkworm moth.
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