An Asus-xtion-probased Indoor MAPPING Using a Raspberry Pi with Turtlebot Robot Turtlebot Robot

Violeta Holmes, Hamza Aagela, Maha Al-Nesf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The developers of path planning algorithms and localization have significantly improved the usability of the robot those days. By using software such as a Gmapping, the robot will be able to create a map of the surrounding area. This research utilizes the 3D sensor Asus-xtion- pro to create an indoor map using SLAM and create 3D models for surrounding objects with a Turtlebot robot. In the first case, we used the Turtlebot to generate an indoor map of the robotic lab room using the Gmapping ROS packet. In the second case, we used the robot to create 3D models for the surrounding objects in the room. We used the Raspberry Pi 3 as a replacement of the laptop that was used to control the Turtlebot. The same implementation of the first and second tasks have been repeated to compare the performance. The Raspberry Pi accomplishes the given tasks successfully; however, there is some delay due to the different on the CPU power. Finally, the low cost proposed solution is capable of running ROS based SLAM algorithm and using the point on cloud to create 3D models. In addition, the use of Raspberry Pi allows the robot save considerable amount of power in contrast with the use of a normal laptop.

LanguageEnglish
Title of host publicationICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing
Subtitle of host publicationAddressing Global Challenges through Automation and Computing
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780701702618
DOIs
StatePublished - 23 Oct 2017
Event23rd International Conference on Automation and Computing - University of Huddersfield, Huddersfield, United Kingdom
Duration: 7 Sep 20178 Sep 2017
Conference number: 23
https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=41042 (Link to Conference Website)

Conference

Conference23rd International Conference on Automation and Computing
Abbreviated titleICAC 2017
CountryUnited Kingdom
CityHuddersfield
Period7/09/178/09/17
OtherThe scope of the conference covers a broad spectrum of areas with multi-disciplinary interests in the fields of automation, control engineering, computing and information systems, ranging from fundamental research to real-world applications.
Internet address

Fingerprint

Pi
Robot
Robots
3D Model
Reactive Oxygen Species
Simultaneous Localization and Mapping
Robotics
Software
Costs and Cost Analysis
Path Planning
Motion planning
Usability
Program processors
Replacement
Research
Rubus
Sensor
Sensors
Costs
Object

Cite this

Holmes, V., Aagela, H., & Al-Nesf, M. (2017). An Asus-xtion-probased Indoor MAPPING Using a Raspberry Pi with Turtlebot Robot Turtlebot Robot. In ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing [8082023] Institute of Electrical and Electronics Engineers Inc.. DOI: 10.23919/IConAC.2017.8082023
Holmes, Violeta ; Aagela, Hamza ; Al-Nesf, Maha. / An Asus-xtion-probased Indoor MAPPING Using a Raspberry Pi with Turtlebot Robot Turtlebot Robot. ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. Institute of Electrical and Electronics Engineers Inc., 2017.
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abstract = "The developers of path planning algorithms and localization have significantly improved the usability of the robot those days. By using software such as a Gmapping, the robot will be able to create a map of the surrounding area. This research utilizes the 3D sensor Asus-xtion- pro to create an indoor map using SLAM and create 3D models for surrounding objects with a Turtlebot robot. In the first case, we used the Turtlebot to generate an indoor map of the robotic lab room using the Gmapping ROS packet. In the second case, we used the robot to create 3D models for the surrounding objects in the room. We used the Raspberry Pi 3 as a replacement of the laptop that was used to control the Turtlebot. The same implementation of the first and second tasks have been repeated to compare the performance. The Raspberry Pi accomplishes the given tasks successfully; however, there is some delay due to the different on the CPU power. Finally, the low cost proposed solution is capable of running ROS based SLAM algorithm and using the point on cloud to create 3D models. In addition, the use of Raspberry Pi allows the robot save considerable amount of power in contrast with the use of a normal laptop.",
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Holmes, V, Aagela, H & Al-Nesf, M 2017, An Asus-xtion-probased Indoor MAPPING Using a Raspberry Pi with Turtlebot Robot Turtlebot Robot. in ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing., 8082023, Institute of Electrical and Electronics Engineers Inc., 23rd International Conference on Automation and Computing, Huddersfield, United Kingdom, 7/09/17. DOI: 10.23919/IConAC.2017.8082023

An Asus-xtion-probased Indoor MAPPING Using a Raspberry Pi with Turtlebot Robot Turtlebot Robot. / Holmes, Violeta; Aagela, Hamza; Al-Nesf, Maha.

ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. Institute of Electrical and Electronics Engineers Inc., 2017. 8082023.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Holmes V, Aagela H, Al-Nesf M. An Asus-xtion-probased Indoor MAPPING Using a Raspberry Pi with Turtlebot Robot Turtlebot Robot. In ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. Institute of Electrical and Electronics Engineers Inc.2017. 8082023. Available from, DOI: 10.23919/IConAC.2017.8082023