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Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS)
Although many researchers have begun to study the area of Cyber Physical Social Sensing (CPSS), few are focused on robotic sensors. We successfully utilize robots in CPSS, and propose a sensor trajectory planning method in this paper. Trajectory planning is a fundamental problem in mobile robotics....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336121/ https://www.ncbi.nlm.nih.gov/pubmed/28218649 http://dx.doi.org/10.3390/s17020393 |
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author | Tang, Hong Li, Liangzhi Xiao, Nanfeng |
author_facet | Tang, Hong Li, Liangzhi Xiao, Nanfeng |
author_sort | Tang, Hong |
collection | PubMed |
description | Although many researchers have begun to study the area of Cyber Physical Social Sensing (CPSS), few are focused on robotic sensors. We successfully utilize robots in CPSS, and propose a sensor trajectory planning method in this paper. Trajectory planning is a fundamental problem in mobile robotics. However, traditional methods are not suited for robotic sensors, because of their low efficiency, instability, and non-smooth-generated paths. This paper adopts an optimizing function to generate several intermediate points and regress these discrete points to a quintic polynomial which can output a smooth trajectory for the robotic sensor. Simulations demonstrate that our approach is robust and efficient, and can be well applied in the CPSS field. |
format | Online Article Text |
id | pubmed-5336121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53361212017-03-16 Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS) Tang, Hong Li, Liangzhi Xiao, Nanfeng Sensors (Basel) Article Although many researchers have begun to study the area of Cyber Physical Social Sensing (CPSS), few are focused on robotic sensors. We successfully utilize robots in CPSS, and propose a sensor trajectory planning method in this paper. Trajectory planning is a fundamental problem in mobile robotics. However, traditional methods are not suited for robotic sensors, because of their low efficiency, instability, and non-smooth-generated paths. This paper adopts an optimizing function to generate several intermediate points and regress these discrete points to a quintic polynomial which can output a smooth trajectory for the robotic sensor. Simulations demonstrate that our approach is robust and efficient, and can be well applied in the CPSS field. MDPI 2017-02-17 /pmc/articles/PMC5336121/ /pubmed/28218649 http://dx.doi.org/10.3390/s17020393 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tang, Hong Li, Liangzhi Xiao, Nanfeng Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS) |
title | Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS) |
title_full | Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS) |
title_fullStr | Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS) |
title_full_unstemmed | Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS) |
title_short | Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS) |
title_sort | smooth sensor motion planning for robotic cyber physical social sensing (cpss) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336121/ https://www.ncbi.nlm.nih.gov/pubmed/28218649 http://dx.doi.org/10.3390/s17020393 |
work_keys_str_mv | AT tanghong smoothsensormotionplanningforroboticcyberphysicalsocialsensingcpss AT liliangzhi smoothsensormotionplanningforroboticcyberphysicalsocialsensingcpss AT xiaonanfeng smoothsensormotionplanningforroboticcyberphysicalsocialsensingcpss |