NDLI: Construction of a brain-machine hybrid system to analyze adaptive behavior of silkworm moth

Content Provider	IEEE Xplore Digital Library
Author	Takashima, A. Minegishi, R. Kurabayashi, D. Kanzaki, R.
Copyright Year	2010
Description	Author affiliation: Department of Mechanical and Control Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro, 152-8552 Japan (Takashima, A.; Kurabayashi, D.) \|\| Research Center for Advanced Science and Technology, University of Tokyo, Japan (Minegishi, R.; Kanzaki, R.)
Abstract	We have created a brain-machine hybrid system (BMHS) which is able to solve the chemical plume tracking (CPT) problem using the brain of the male silkworm moth. The purpose of the system is to investigate adaptability which results from interactions between brain, body, and environment. In this paper, we describe a BMHS architecture and experiments to verify that the behavior of the BMHS is similar to that of a silkworm moth. The BMHS is a kind of cyborg system in which the body of a living being is replaced by a mobile robot and the organism's brain is used to control the robot. The artificial body is controlled by motor commands for the original body that are extracted from a signal recorded from the brain. For that purpose, a small measurement system to record signals was created and a method to reconstruct the motor commands from the signals was established. We demonstrate that the BMHS can behave like a silkworm moth. We compared the trajectories of moths with the trajectories of the BMHS incorporating the same individual moths. Through the experiments we confirmed that the system can solve the CPT problem. Our system has the potential to reveal principles of adaptability in silkworm moth behavior.
Starting Page	2389
Ending Page	2394
File Size	1129301
Page Count	6
File Format	PDF
ISBN	9781424466740
ISSN	21530866
e-ISBN	9781424466764
DOI	10.1109/IROS.2010.5650313
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Neck Trajectory Glass Neurons Mobile robots
Content Type	Text
Resource Type	Article

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