Performance Enhancement of a Neato XV-11 Laser Scanner Applied to Mobile Robot Localization: A Stochastic Modeling Approach

• Type: Article in International Conference Proceedings Book
• Date: 2021

Authors

Gonçalves, J (Author) Other; Coelho, JP (Author) Other; Braz César, M (Author) Other; Paulo Gomes da Costa (Author) FEUP

Conference proceedings International

Title: CONTROLO 2020

Pages: 49-62

14th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2020

1 July 2020 through 3 July 2020

Indexing

ISI Web of Knowledge - 0 Citations

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Other information

Authenticus ID: P-00S-NXG

DOI: 10.1007/978-3-030-58653-9_5

Abstract (EN): Laser scanners are widely used in mobile robotics localization systems but, despite the enormous potential of its use, their high price tag is a major drawback, mainly for hobbyist and educational robotics practitioners that usually have a reduced budget. The Neato XV-11 Laser Scanner is a very low cost alternative, when compared with the current available laser scanners, being this fact the main motivation for its use. The modeling of a hacked Neato XV-11 Laser Scanner allows to provide valuable information that can promote the development of better designs of robot localization systems based on this sensor. This paper presents, as an example, the performance enhancement of a Neato XV-11 Laser Scanner applied to mobile robot self-localization, being used as case study the Perfect Match Algorithm applied to the Robot@Factory competition. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14