Analysis and use of fuzzy intelligent technique for navigation of humanoid robot in obstacle prone zone

With the increasing use of humanoid robots in several sectors of industrial automation and manufacturing, navigation and path planning of humanoids has emerged as one of the most promising area of research. In this paper, a navigational controller has been developed for a humanoid by using fuzzy log...

Full description

Bibliographic Details
Main Authors: Asita Kumar Rath, Dayal R. Parhi, Harish Chandra Das, Manoj Kumar Muni, Priyadarshi Biplab Kumar
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2018-12-01
Series:Defence Technology
Online Access:http://www.sciencedirect.com/science/article/pii/S2214914718300229
_version_ 1818938913457176576
author Asita Kumar Rath
Dayal R. Parhi
Harish Chandra Das
Manoj Kumar Muni
Priyadarshi Biplab Kumar
author_facet Asita Kumar Rath
Dayal R. Parhi
Harish Chandra Das
Manoj Kumar Muni
Priyadarshi Biplab Kumar
author_sort Asita Kumar Rath
collection DOAJ
description With the increasing use of humanoid robots in several sectors of industrial automation and manufacturing, navigation and path planning of humanoids has emerged as one of the most promising area of research. In this paper, a navigational controller has been developed for a humanoid by using fuzzy logic as an intelligent algorithm for avoiding the obstacles present in the environment and reach the desired target position safely. Here, the controller has been designed by careful consideration of the navigational parameters by the help of fuzzy rules. The sensory information regarding obstacle distances and bearing angle towards the target are considered as inputs to the controller and necessary velocities for avoiding the obstacles are obtained as outputs. The working of the controller has been tested on a NAO humanoid robot in V-REP simulation platform. To validate the simulation results, an experimental platform has been designed under laboratory conditions, and experimental analysis has been performed. Finally, the results obtained from both the environments are compared against each other with a good agreement between them. Keywords: Humanoid robot, Navigation, Path planning, Fuzzy
first_indexed 2024-12-20T06:15:24Z
format Article
id doaj.art-a893b1701d1b4452926d51106257ca1b
institution Directory Open Access Journal
issn 2214-9147
language English
last_indexed 2024-12-20T06:15:24Z
publishDate 2018-12-01
publisher KeAi Communications Co., Ltd.
record_format Article
series Defence Technology
spelling doaj.art-a893b1701d1b4452926d51106257ca1b2022-12-21T19:50:33ZengKeAi Communications Co., Ltd.Defence Technology2214-91472018-12-01146677682Analysis and use of fuzzy intelligent technique for navigation of humanoid robot in obstacle prone zoneAsita Kumar Rath0Dayal R. Parhi1Harish Chandra Das2Manoj Kumar Muni3Priyadarshi Biplab Kumar4Centre of Biomechanical Science, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha 751030, India; Corresponding author.Robotics Laboratory, Mechanical Engineering Department, National Institute of Technology, Rourkela, Odisha 769008, IndiaMechanical Engineering Department, National Institute of Technology, Shillong, Meghalaya 793003, IndiaRobotics Laboratory, Mechanical Engineering Department, National Institute of Technology, Rourkela, Odisha 769008, IndiaRobotics Laboratory, Mechanical Engineering Department, National Institute of Technology, Rourkela, Odisha 769008, IndiaWith the increasing use of humanoid robots in several sectors of industrial automation and manufacturing, navigation and path planning of humanoids has emerged as one of the most promising area of research. In this paper, a navigational controller has been developed for a humanoid by using fuzzy logic as an intelligent algorithm for avoiding the obstacles present in the environment and reach the desired target position safely. Here, the controller has been designed by careful consideration of the navigational parameters by the help of fuzzy rules. The sensory information regarding obstacle distances and bearing angle towards the target are considered as inputs to the controller and necessary velocities for avoiding the obstacles are obtained as outputs. The working of the controller has been tested on a NAO humanoid robot in V-REP simulation platform. To validate the simulation results, an experimental platform has been designed under laboratory conditions, and experimental analysis has been performed. Finally, the results obtained from both the environments are compared against each other with a good agreement between them. Keywords: Humanoid robot, Navigation, Path planning, Fuzzyhttp://www.sciencedirect.com/science/article/pii/S2214914718300229
spellingShingle Asita Kumar Rath
Dayal R. Parhi
Harish Chandra Das
Manoj Kumar Muni
Priyadarshi Biplab Kumar
Analysis and use of fuzzy intelligent technique for navigation of humanoid robot in obstacle prone zone
Defence Technology
title Analysis and use of fuzzy intelligent technique for navigation of humanoid robot in obstacle prone zone
title_full Analysis and use of fuzzy intelligent technique for navigation of humanoid robot in obstacle prone zone
title_fullStr Analysis and use of fuzzy intelligent technique for navigation of humanoid robot in obstacle prone zone
title_full_unstemmed Analysis and use of fuzzy intelligent technique for navigation of humanoid robot in obstacle prone zone
title_short Analysis and use of fuzzy intelligent technique for navigation of humanoid robot in obstacle prone zone
title_sort analysis and use of fuzzy intelligent technique for navigation of humanoid robot in obstacle prone zone
url http://www.sciencedirect.com/science/article/pii/S2214914718300229
work_keys_str_mv AT asitakumarrath analysisanduseoffuzzyintelligenttechniquefornavigationofhumanoidrobotinobstaclepronezone
AT dayalrparhi analysisanduseoffuzzyintelligenttechniquefornavigationofhumanoidrobotinobstaclepronezone
AT harishchandradas analysisanduseoffuzzyintelligenttechniquefornavigationofhumanoidrobotinobstaclepronezone
AT manojkumarmuni analysisanduseoffuzzyintelligenttechniquefornavigationofhumanoidrobotinobstaclepronezone
AT priyadarshibiplabkumar analysisanduseoffuzzyintelligenttechniquefornavigationofhumanoidrobotinobstaclepronezone