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Constrained VPH+: a local path planning algorithm for a bio-inspired crawling robot with customized ultrasonic scanning sensor

This paper aims to develop a local path planning algorithm for a bio-inspired, reconfigurable crawling robot. A detailed description of the robotic platform is first provided, and the suitability for deployment of each of the current state-of-the-art local path planners is analyzed after an extensiv...

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Detalles Bibliográficos
Autores principales: Rao, Akshay, Elara, Mohan Rajesh, Elangovan, Karthikeyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949295/
https://www.ncbi.nlm.nih.gov/pubmed/27478760
http://dx.doi.org/10.1186/s40638-016-0043-1
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author Rao, Akshay
Elara, Mohan Rajesh
Elangovan, Karthikeyan
author_facet Rao, Akshay
Elara, Mohan Rajesh
Elangovan, Karthikeyan
author_sort Rao, Akshay
collection PubMed
description This paper aims to develop a local path planning algorithm for a bio-inspired, reconfigurable crawling robot. A detailed description of the robotic platform is first provided, and the suitability for deployment of each of the current state-of-the-art local path planners is analyzed after an extensive literature review. The Enhanced Vector Polar Histogram algorithm is described and reformulated to better fit the requirements of the platform. The algorithm is deployed on the robotic platform in crawling configuration and favorably compared with other state-of-the-art local path planning algorithms.
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spelling pubmed-49492952016-07-28 Constrained VPH+: a local path planning algorithm for a bio-inspired crawling robot with customized ultrasonic scanning sensor Rao, Akshay Elara, Mohan Rajesh Elangovan, Karthikeyan Robotics Biomim Research This paper aims to develop a local path planning algorithm for a bio-inspired, reconfigurable crawling robot. A detailed description of the robotic platform is first provided, and the suitability for deployment of each of the current state-of-the-art local path planners is analyzed after an extensive literature review. The Enhanced Vector Polar Histogram algorithm is described and reformulated to better fit the requirements of the platform. The algorithm is deployed on the robotic platform in crawling configuration and favorably compared with other state-of-the-art local path planning algorithms. Springer Berlin Heidelberg 2016-07-19 2016 /pmc/articles/PMC4949295/ /pubmed/27478760 http://dx.doi.org/10.1186/s40638-016-0043-1 Text en © Rao et al 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Rao, Akshay
Elara, Mohan Rajesh
Elangovan, Karthikeyan
Constrained VPH+: a local path planning algorithm for a bio-inspired crawling robot with customized ultrasonic scanning sensor
title Constrained VPH+: a local path planning algorithm for a bio-inspired crawling robot with customized ultrasonic scanning sensor
title_full Constrained VPH+: a local path planning algorithm for a bio-inspired crawling robot with customized ultrasonic scanning sensor
title_fullStr Constrained VPH+: a local path planning algorithm for a bio-inspired crawling robot with customized ultrasonic scanning sensor
title_full_unstemmed Constrained VPH+: a local path planning algorithm for a bio-inspired crawling robot with customized ultrasonic scanning sensor
title_short Constrained VPH+: a local path planning algorithm for a bio-inspired crawling robot with customized ultrasonic scanning sensor
title_sort constrained vph+: a local path planning algorithm for a bio-inspired crawling robot with customized ultrasonic scanning sensor
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949295/
https://www.ncbi.nlm.nih.gov/pubmed/27478760
http://dx.doi.org/10.1186/s40638-016-0043-1
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