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Mobile Robot Localisation and Navigation Using LEGO NXT and Ultrasonic Sensor

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

Original languageEnglish
Title of host publication2018 IEEE International Conference on Robotics and Biomimetics (ROBIO 2018)
Subtitle of host publicationProceedings of a meeting held 12-15 December 2018, Kuala Lumpur, Malaysia.
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Pages1088-1093
Number of pages6
ISBN (Electronic)9781728103761
ISBN (Print)9781728103785
DOIs
DateAccepted/In press - 27 Oct 2018
DatePublished (current) - 11 Mar 2019
Event2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018 - Kuala Lumpur, Malaysia
Duration: 12 Dec 201815 Dec 2018

Conference

Conference2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018
CountryMalaysia
CityKuala Lumpur
Period12/12/1815/12/18

Abstract

Mobile robots are becoming increasingly important both for individuals and industries. Mobile robotic technology is not only utilised by experts in this field but is also very popular among amateurs. However, implementing a mobile robot to perform tasks autonomously can be expensive because of the need for various types of sensors and the high price of robot platforms. Hence, in this paper we present a mobile robot localisation and navigation system which uses a LEGO ultrasonic sensor in an indoor map based on the LEGO MINDSTORM NXT. This provides an affordable and ready-to-use option for most robot fans. In this paper, an effective method is proposed to extract useful information from the distorted readings collected by the ultrasonic sensor. Then, the particle filter is used to localise the robot. After robot's position is estimated, a sampling-based path planning method is proposed for the robot navigation. This method reduces the robot accumulative motion error by minimising robot turning times and covering distances. The robot localisation and navigation algorithms are implemented in MATLAB. Simulation results show an average accuracy between 1 and 3 cm for three different indoor map locations. Furthermore, experiments performed in a real setup show the effectiveness of the proposed methods.

    Research areas

  • mobile robot, LEGO NXT, localisation and navigation, particle filter, path plan

Event

2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018

Duration12 Dec 201815 Dec 2018
CityKuala Lumpur
CountryMalaysia
Sponsorset al. (External organisation), Guangdong University of Technology (External organisation), Guangzhou University (External organisation), IEEE (External organisation), IEEE Robotics and Automation Society (RAS) (External organisation), Shenzhen Han's Robot Co., Ltd. (External organisation)

Event: Conference

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Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via IEEE at https://doi.org/10.1109/ROBIO.2018.8665350 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1 MB, PDF-document

    Licence: Other

DOI

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