Vision Based Guiding System for AGV Using Robot Operating Systems

Simple item page
dc.contributor.authorAsanga, P.K S.
dc.contributor.authorAmarasinghe, A.R.P.C.C.J.
dc.contributor.authorRanasinghe, S.
dc.date.accessioned2021-01-07T05:15:09Z
dc.date.available2021-01-07T05:15:09Z
dc.date.issued2018
dc.description.abstractAn automated guided vehicle or automatic guided vehicle (AGV) is a mobile robot that is most often used in industrial applications to move materials or goods around a manufacturing facility, warehouse or stores. This research is based on making a vision based guiding system for AGV instead of follow markers, wires in the floor or magnets. For this task here used "rviz" and "Gazebo" visualizing interfaces in ROS (Robotic Operating Systems). In this guiding system, the initial map was generated of the working environment manually. Then, in this mapped environment AGV can navigate autonomously avoiding obstacles. To obtains a 3d and 2d map of the navigating environment, AGV used ROS RTAB map (real-time appearance based mapping) packages. Video cloud of the environment was obtained by Xbox Kinect 360. For communicating with Kinect video cloud, ROS freenect-opennii package was used. The AGV model was designed by URDF (unified robot designing format). This model is designed to its real dimensions through URDF. For first map generation, AGV moved manually in the working environment. Manual Navigation of the AGV achieved by ROS keyboard_teleop packages. These navigation commands pass to motors of AGV through Arduino board. For communication between Arduino and ROS, "rosserial" packages were used. This system can identify obstacle through video cloud with a small delay. The laptop was used as ROS working environment and also to monitor and mark the destination point of AGV. It is possible to use wandboard, Raspberry Pi board instead of laptop and HMI (Human Machine Interface) instead of the laptop monitor. AGV can identify its current position through ROS localization packages and use wheel encoders to obtain traveled distance accurately, while navigation to the given destination. Key Words: AGV, ROS (Robotic Operating Systems), RTAB Mapen_US
dc.identifier.isbn9789550481194
dc.identifier.urihttp://www.erepo.lib.uwu.ac.lk/bitstream/handle/123456789/5544/421-2018-Vision%20Based%20Guiding%20System%20for%20AGV%20Using%20Robot%20Operating%20Systems.pdf?sequence=1&isAllowed=y
dc.language.isoenen_US
dc.publisherUva Wellassa University of Sri Lankaen_US
dc.relation.ispartofseries;2nd International Research Conference
dc.subjectInformation Systemen_US
dc.subjectComputer Scienceen_US
dc.titleVision Based Guiding System for AGV Using Robot Operating Systemsen_US
dc.title.alternativeInternational Research Conference 2018en_US
dc.typeOtheren_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
421-2018-Vision Based Guiding System for AGV Using Robot Operating Systems.pdf
Size:
113.37 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
International Research Symposium of UWU-2018