Literature DB >> 28060258

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect.

Noriyasu Ando1, Shuhei Emoto2, Ryohei Kanzaki2.   

Abstract

Robotic odor source localization has been a challenging area and one to which biological knowledge has been expected to contribute, as finding odor sources is an essential task for organism survival. Insects are well-studied organisms with regard to odor tracking, and their behavioral strategies have been applied to mobile robots for evaluation. This "bottom-up" approach is a fundamental way to develop biomimetic robots; however, the biological analyses and the modeling of behavioral mechanisms are still ongoing. Therefore, it is still unknown how such a biological system actually works as the controller of a robotic platform. To answer this question, we have developed an insect-controlled robot in which a male adult silkmoth (Bombyx mori) drives a robot car in response to odor stimuli; this can be regarded as a prototype of a future insect-mimetic robot. In the cockpit of the robot, a tethered silkmoth walked on an air-supported ball and an optical sensor measured the ball rotations. These rotations were translated into the movement of the two-wheeled robot. The advantage of this "hybrid" approach is that experimenters can manipulate any parameter of the robot, which enables the evaluation of the odor-tracking capability of insects and provides useful suggestions for robotic odor-tracking. Furthermore, these manipulations are non-invasive ways to alter the sensory-motor relationship of a pilot insect and will be a useful technique for understanding adaptive behaviors.

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Mesh:

Year:  2016        PMID: 28060258      PMCID: PMC5226434          DOI: 10.3791/54802

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  33 in total

Review 1.  Real neuroscience in virtual worlds.

Authors:  Daniel A Dombeck; Michael B Reiser
Journal:  Curr Opin Neurobiol       Date:  2011-12-02       Impact factor: 6.627

Review 2.  Brain-machine interfaces: past, present and future.

Authors:  Mikhail A Lebedev; Miguel A L Nicolelis
Journal:  Trends Neurosci       Date:  2006-07-21       Impact factor: 13.837

3.  'Infotaxis' as a strategy for searching without gradients.

Authors:  Massimo Vergassola; Emmanuel Villermaux; Boris I Shraiman
Journal:  Nature       Date:  2007-01-25       Impact factor: 49.962

4.  Sensorimotor control of navigation in arthropod and artificial systems.

Authors:  Barbara Webb; Reid R Harrison; Mark A Willis
Journal:  Arthropod Struct Dev       Date:  2004-07       Impact factor: 2.010

5.  Pheromone responsiveness threshold depends on temporal integration by antennal lobe projection neurons.

Authors:  Masashi Tabuchi; Takeshi Sakurai; Hidefumi Mitsuno; Shigehiro Namiki; Ryo Minegishi; Takahiro Shiotsuki; Keiro Uchino; Hideki Sezutsu; Toshiki Tamura; Stephan Shuichi Haupt; Kei Nakatani; Ryohei Kanzaki
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-04       Impact factor: 11.205

6.  Odour-tracking capability of a silkmoth driving a mobile robot with turning bias and time delay.

Authors:  N Ando; S Emoto; R Kanzaki
Journal:  Bioinspir Biomim       Date:  2013-02-06       Impact factor: 2.956

7.  Use of bilateral information to determine the walking direction during orientation to a pheromone source in the silkmoth Bombyx mori.

Authors:  Tetsuya Takasaki; Shigehiro Namiki; Ryohei Kanzaki
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2012-01-08       Impact factor: 1.836

8.  Odors Pulsed at Wing Beat Frequencies are Tracked by Primary Olfactory Networks and Enhance Odor Detection.

Authors:  Shreejoy J Tripathy; Oakland J Peters; Erich M Staudacher; Faizan R Kalwar; Mandy N Hatfield; Kevin C Daly
Journal:  Front Cell Neurosci       Date:  2010-03-16       Impact factor: 5.505

9.  Sniffing by a silkworm moth: wing fanning enhances air penetration through and pheromone interception by antennae.

Authors:  C Loudon; M A Koehl
Journal:  J Exp Biol       Date:  2000-10       Impact factor: 3.312

10.  A fast and flexible panoramic virtual reality system for behavioural and electrophysiological experiments.

Authors:  Jouni Takalo; Arto Piironen; Anna Honkanen; Mikko Lempeä; Mika Aikio; Tuomas Tuukkanen; Mikko Vähäsöyrinki
Journal:  Sci Rep       Date:  2012-03-22       Impact factor: 4.379

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