Improving Robot Navigation and Obstacle Avoidance using Kinect 2.0

Kinect is a low-cost controller-free device, originally designed for gaming and entertainment. This work presents a solution using the most recent version of Kinect sensor, which has got significant improvement in several ways in comparison with earlier versions, to cope with one important aspect of...

Full description

Saved in:
Bibliographic Details
Published inDigest book (International Conference on Robotics and Mechatronics. Online) pp. 486 - 489
Main Authors Basiri, Amin, Oskoei, Mohammadreza A., Basiri, Anahid, Shahri, Alireza Mohammad
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Online AccessGet full text
ISSN2572-6889
DOI10.1109/ICRoM.2017.8466145

Cover

Abstract Kinect is a low-cost controller-free device, originally designed for gaming and entertainment. This work presents a solution using the most recent version of Kinect sensor, which has got significant improvement in several ways in comparison with earlier versions, to cope with one important aspect of autonomous mobile robotics, obstacle avoidance. Modeling the environment based on the point cloud extracted from the depth image data as well as an obstacle avoidance method using the straight line segments and circle arcs, were the main focus of the paper. The environment is represented by a set of polygons and the obstacle avoidance algorithm attempts to find a collision-free path from the current position of the robot to the target pose subject to the shortest possible path considering a safeguard. The whole algorithm was implemented and simulated in V-rep software. A mobile robotic platform based on Pioneer This motivated using the Kinect 2 sensor to extend the ability to detect obstacles and hence to improve the local path planner and obstacle avoidance components.
AbstractList Kinect is a low-cost controller-free device, originally designed for gaming and entertainment. This work presents a solution using the most recent version of Kinect sensor, which has got significant improvement in several ways in comparison with earlier versions, to cope with one important aspect of autonomous mobile robotics, obstacle avoidance. Modeling the environment based on the point cloud extracted from the depth image data as well as an obstacle avoidance method using the straight line segments and circle arcs, were the main focus of the paper. The environment is represented by a set of polygons and the obstacle avoidance algorithm attempts to find a collision-free path from the current position of the robot to the target pose subject to the shortest possible path considering a safeguard. The whole algorithm was implemented and simulated in V-rep software. A mobile robotic platform based on Pioneer This motivated using the Kinect 2 sensor to extend the ability to detect obstacles and hence to improve the local path planner and obstacle avoidance components.
Author Basiri, Anahid
Shahri, Alireza Mohammad
Oskoei, Mohammadreza A.
Basiri, Amin
Author_xml – sequence: 1
  givenname: Amin
  surname: Basiri
  fullname: Basiri, Amin
  organization: Engineering Qazvin Islamic Azad, Faculty of Computer and Information Technology, University Qazvin, Iran
– sequence: 2
  givenname: Mohammadreza A.
  surname: Oskoei
  fullname: Oskoei, Mohammadreza A.
  organization: Department of Computer Science, Allameh Tabataba'i, University (ATU), Tehran, Iran
– sequence: 3
  givenname: Anahid
  surname: Basiri
  fullname: Basiri, Anahid
  organization: Centre for Advanced Spatial Analysis (CASA), University College London (UCL), London, The UK
– sequence: 4
  givenname: Alireza Mohammad
  surname: Shahri
  fullname: Shahri, Alireza Mohammad
  organization: Electrical Engineering Department, Iran University of Science and Technology
BookMark eNotj81KAzEURqMoWOu8gG7yAjPmZvJzs6yD1cFqoei6ZJJYIm1SZsaCb2_Frs7iO3xwrslFyikQcgusAmDmvm1W-bXiDHSFQikQ8owURiPIGpXUrBbnZMKl5qVCNFekGIYvxljNjwvKCXlod_s-H2La0FXu8kjf7CFu7BhzojZ5uuyG0bptoLNDjt4mF-j38Ge_xBTcSHnFbsjlp90OoThxSj7mj-_Nc7lYPrXNbFFG0HIsQXQaNTjhvQqIzninOAfGAxgNXHohjJCghPUGpfBH03ltrFWMI3Z1PSV3_78xhLDe93Fn-5_1qbr-BeQFS0E
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICRoM.2017.8466145
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISBN 9781538657034
1538657031
EISSN 2572-6889
EndPage 489
ExternalDocumentID 8466145
Genre orig-research
GroupedDBID 6IE
6IF
6IL
6IN
AAJGR
AAWTH
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
OCL
RIE
RIL
ID FETCH-LOGICAL-i175t-14b7871c4dd6e88c9dc622102e197125d44945164ad9854d1c4cd79aa60288b33
IEDL.DBID RIE
IngestDate Wed Aug 27 02:55:53 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i175t-14b7871c4dd6e88c9dc622102e197125d44945164ad9854d1c4cd79aa60288b33
PageCount 4
ParticipantIDs ieee_primary_8466145
PublicationCentury 2000
PublicationDate 2017-Oct.
PublicationDateYYYYMMDD 2017-10-01
PublicationDate_xml – month: 10
  year: 2017
  text: 2017-Oct.
PublicationDecade 2010
PublicationTitle Digest book (International Conference on Robotics and Mechatronics. Online)
PublicationTitleAbbrev ICRoM
PublicationYear 2017
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0003203485
Score 1.661346
Snippet Kinect is a low-cost controller-free device, originally designed for gaming and entertainment. This work presents a solution using the most recent version of...
SourceID ieee
SourceType Publisher
StartPage 486
SubjectTerms Cameras
Collision avoidance
Kinect 2
Navigation
obstacle avoidance
Robot navigation
Robot vision systems
Three-dimensional displays
Title Improving Robot Navigation and Obstacle Avoidance using Kinect 2.0
URI https://ieeexplore.ieee.org/document/8466145
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT8MwDLa2neDCY0O8lQNH2nVtmrZHmJgGaANNTNptygs0ITUIdTvw67HbrTzEgVtTNW3jWPpsx_4McCFFhLhk0cnRNvI4-iCeEqH1hCS2G2IXkVScPBqL4ZTfzeJZAy7rWhhrbZl8Zn26LM_yjdNLCpV1ESsRTeImNFHNqlqtOp4ShUHE03hTFxNk3dv-xI0oeSvx1xN_dFApAWSwA6PNp6u8kVd_WShff_xiZfzvv-1C56tUjz3WILQHDZvvw_Y3lsE2XNeBAzZxyhVsLFclsYbLmcwNe1BoIaL2sKuVWxjSAkbZ8C_sHt-hCxb6QQemg5un_tBbt07wFmgPFF6PKxRRT3NjhE1TnRktQvLubC9L0KYxnGfUopdLk6UxN_ikNkkmpUB7I1VRdACt3OX2EBjHFQTCamKC588myHBArDGJwiWjhXAEbZLG_K1ix5ivBXH89-0T2KIdqdLhTqFVvC_tGcJ6oc7L_fwE-T6frA
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT4NAEJ7UelAvPlrj2z14FEphWdijNprWlmqaNumt2ZemMQFjaA_-emehxUc8eAOyC-yDfDPDfN8AXAkWIC4ZdHKUCRyKPogjmW8cJqzajVUXEZacnAxZd0IfpuG0BtcVF8YYUySfGdceFv_ydaYWNlTWQqxENAk3YBNxn4YlW6uKqAS-F9A4XDNjPN7qdUZZYtO3InfV9UcNlQJC7nchWT-8zBx5dRe5dNXHL13G_77dHjS_yHrkqYKhfaiZ9AB2vukMNuC2Ch2QUSaznAzFspDWyFIiUk0eJdqIuH_IzTKba7sPiM2HfyF9vIfKie96TZjc3407XWdVPMGZo0WQO20q8VtsK6o1M3GsuFbMt_6dafMIrRpNKbdFeqnQPA6pxpZKR1wIhhZHLIPgEOpplpojIBRH4DGjrBY8fdYexxOrGxNJHDLaCMfQsLMxeyv1MWariTj5-_IlbHXHyWA26A37p7BtV6dMjjuDev6-MOcI8rm8KNb2E4nmovk
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=Digest+book+%28International+Conference+on+Robotics+and+Mechatronics.+Online%29&rft.atitle=Improving+Robot+Navigation+and+Obstacle+Avoidance+using+Kinect+2.0&rft.au=Basiri%2C+Amin&rft.au=Oskoei%2C+Mohammadreza+A.&rft.au=Basiri%2C+Anahid&rft.au=Shahri%2C+Alireza+Mohammad&rft.date=2017-10-01&rft.pub=IEEE&rft.eissn=2572-6889&rft.spage=486&rft.epage=489&rft_id=info:doi/10.1109%2FICRoM.2017.8466145&rft.externalDocID=8466145