Literature DB >> 27499843

Adaptation of sensor morphology: an integrative view of perception from biologically inspired robotics perspective.

Fumiya Iida1, Surya G Nurzaman2.   

Abstract

Sensor morphology, the morphology of a sensing mechanism which plays a role of shaping the desired response from physical stimuli from surroundings to generate signals usable as sensory information, is one of the key common aspects of sensing processes. This paper presents a structured review of researches on bioinspired sensor morphology implemented in robotic systems, and discusses the fundamental design principles. Based on literature review, we propose two key arguments: first, owing to its synthetic nature, biologically inspired robotics approach is a unique and powerful methodology to understand the role of sensor morphology and how it can evolve and adapt to its task and environment. Second, a consideration of an integrative view of perception by looking into multidisciplinary and overarching mechanisms of sensor morphology adaptation across biology and engineering enables us to extract relevant design principles that are important to extend our understanding of the unfinished concepts in sensing and perception.

Keywords:  adaptation; biologically inspired robotics; integrative view; machine perception; sensor morphology

Year:  2016        PMID: 27499843      PMCID: PMC4918834          DOI: 10.1098/rsfs.2016.0016

Source DB:  PubMed          Journal:  Interface Focus        ISSN: 2042-8898            Impact factor:   3.906


  39 in total

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Review 8.  Sensory ecology and perceptual allocation: new prospects for neural networks.

Authors:  Steven M Phelps
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-03-29       Impact factor: 6.237

Review 9.  Templates and anchors: neuromechanical hypotheses of legged locomotion on land.

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Journal:  J Exp Biol       Date:  1999-12       Impact factor: 3.312

10.  Mapping information flow in sensorimotor networks.

Authors:  Max Lungarella; Olaf Sporns
Journal:  PLoS Comput Biol       Date:  2006-10-27       Impact factor: 4.475

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