Professor of Mechanical Engineering and Smart Structures, School of Computing Engineering and Mathematics, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—The purpose of this article is to compare 3 selected sensors commonly used in sumo robots for their ability to detect objects with 3 different surfaces: white, black and reflective. They have been tested on a special measuring stand with the possibility of changing the inclination of the tested surface in the vertical axis (range from 0 ° to 50 °) and in the horizontal axis (range from -45 ° to 45 °). The range of the tested distance is 80 cm, with subsequent measurements being made every 5 cm. Research results are presented in the form of charts and descriptions. The measurement results allowed to determine which sensor has the highest detectability. Finally, each sensor was summarized by listing their pros and cons, taking into account the aforementioned detectability, price and size of the housing compared to the size of the robot itself.
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