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Proceedings Paper

System for rugged surface detection based on MEMS inertial sensor signals analysis
Author(s): Daniel Paczesny; Adrian Ratajczyk; Zbigniew M. Wawrzyniak; Grzegorz Tarapata
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Paper Abstract

The paper reports an application of the accelerometer for the sensing of rugged surface detection. MEMS accelerometers were investigated for steering control of the autonomous floor-cleaning robot to perform cleaning. Accelerometer signals were used to support signals from other ultrasound and vision sensors to detect the type of the floor and distinguish between rough and smooth floor. The main aim of the developed control system for an autonomous robot was to improve the detection of the floor type and investigate the use of the accelerometer for solving this problem. The test results have shown that the proposed system can be equipped with accelerometer sensor and reduce the error detection for floor type during cleaning.

Paper Details

Date Published: 28 September 2016
PDF: 10 pages
Proc. SPIE 10031, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016, 100311L (28 September 2016); doi: 10.1117/12.2249459
Show Author Affiliations
Daniel Paczesny, Warsaw Univ. of Technology (Poland)
Adrian Ratajczyk, Warsaw Univ. of Technology (Poland)
Zbigniew M. Wawrzyniak, Warsaw Univ. of Technology (Poland)
Grzegorz Tarapata, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 10031:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016
Ryszard S. Romaniuk, Editor(s)

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