Electronic system for floor surface type detection in robotics applications

Grzegorz Tarapata; Daniel Paczesny; Łukasz Tarasiuk

doi:10.1117/12.2249331

10 November 2016 Electronic system for floor surface type detection in robotics applications

Grzegorz Tarapata, Daniel Paczesny, Łukasz Tarasiuk

Proceedings Volume 10161, 14th International Conference on Optical and Electronic Sensors; 1016111 (2016) https://doi.org/10.1117/12.2249331
Event: 14th International Conference on Optical and Electronic Sensors, 2016, Gdansk, Poland

Abstract

The paper reports a recognizing method base on ultrasonic transducers utilized for the surface types detection. Ultra-sonic signal is transmitted toward the examined substrate, then reflected and scattered signal goes back to another ultra-sonic receiver. Thee measuring signal is generated by a piezo-electric transducer located at specified distance from the tested substrate. The detector is a second piezo-electric transducer located next to the transmitter. Depending on thee type of substrate which is exposed by an ultrasonic wave, the signal is partially absorbed inn the material, diffused and reflected towards the receiver. To measure the level of received signal, the dedicated electronic circuit was design and implemented in the presented systems. Such system was designed too recognize two types of floor surface: solid (like concrete, ceramic stiles, wood) and soft (carpets, floor coverings). The method will be applied in electronic detection system dedicated to autonomous cleaning robots due to selection of appropriate cleaning method. This work presents the concept of ultrasonic signals utilization, the design of both the measurement system and the measuring stand and as well number of wide tests results which validates correctness of applied ultrasonic method.

Citation Download Citation

Grzegorz Tarapata, Daniel Paczesny, and Łukasz Tarasiuk "Electronic system for floor surface type detection in robotics applications", Proc. SPIE 10161, 14th International Conference on Optical and Electronic Sensors, 1016111 (10 November 2016); https://doi.org/10.1117/12.2249331

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