Literature DB >> 18089041

Sensorimotor control of navigation in arthropod and artificial systems.

Barbara Webb1, Reid R Harrison, Mark A Willis.   

Abstract

Arthropods exhibit highly efficient solutions to sensorimotor navigation problems. They thus provide a source of inspiration and ideas to robotics researchers. At the same time, attempting to re-engineer these mechanisms in robot hardware and software provides useful insights into how the natural systems might work. This paper reviews three examples of arthropod sensorimotor control systems that have been implemented and tested on robots. First we discuss visual control mechanisms of flies, such as the optomotor reflex and collision avoidance, that have been replicated in analog VLSI (very large scale integration) hardware and used to produce corrective behavior in robot vehicles. Then, we present a robot model of auditory localization in the cricket; and discuss integration of this behavior with the optomotor behavior previously described. Finally we present a model of olfactory search in the moth, which makes use of several sensory cues, and has also been tested using robot hardware. We discuss some of the similarities and differences of the solutions obtained.

Year:  2004        PMID: 18089041     DOI: 10.1016/j.asd.2004.05.009

Source DB:  PubMed          Journal:  Arthropod Struct Dev        ISSN: 1467-8039            Impact factor:   2.010


  7 in total

1.  The interplay between a self-organized process and an environmental template: corpse clustering under the influence of air currents in ants.

Authors:  Christian Jost; Julie Verret; Eric Casellas; Jacques Gautrais; Mélanie Challet; Jacques Lluc; Stéphane Blanco; Michael J Clifton; Guy Theraulaz
Journal:  J R Soc Interface       Date:  2007-02-22       Impact factor: 4.118

Review 2.  Insect-machine hybrid system for understanding and evaluating sensory-motor control by sex pheromone in Bombyx mori.

Authors:  Ryohei Kanzaki; Ryo Minegishi; Shigehiro Namiki; Noriyasu Ando
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2013-06-08       Impact factor: 1.836

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

Authors:  Noriyasu Ando; Shuhei Emoto; Ryohei Kanzaki
Journal:  J Vis Exp       Date:  2016-12-19       Impact factor: 1.355

4.  Tuning movement for sensing in an uncertain world.

Authors:  Chen Chen; Todd D Murphey; Malcolm A MacIver
Journal:  Elife       Date:  2020-09-22       Impact factor: 8.140

5.  Chasing behavior and optomotor following in free-flying male blowflies: flight performance and interactions of the underlying control systems.

Authors:  Christine Trischler; Roland Kern; Martin Egelhaaf
Journal:  Front Behav Neurosci       Date:  2010-05-14       Impact factor: 3.558

6.  Odor tracking flight of male Manduca sexta moths along plumes of different cross-sectional area.

Authors:  Mark A Willis; E A Ford; J L Avondet
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2013-10-01       Impact factor: 1.836

7.  Oral dosing of chemical indicators for in vivo monitoring of Ca2+ dynamics in insect muscle.

Authors:  Satoshi Arai; Shin'ichi Ishiwata; Madoka Suzuki; Hirotaka Sato
Journal:  PLoS One       Date:  2015-01-15       Impact factor: 3.240

  7 in total

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