Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
37th (2023)
Session ID : 4Xin1-58
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Automatic acquisition of spatial layout based on co-occurrence relationships between objects
*Kenta GUNJIKazunori OHNOShotaro KOJIMARanulfo BEZERRAHanif ARYADIYoshito OKADAMasashi KONYOSatoshi TADOKORO
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Abstract

The layout of objects in space strongly affects people and robots. In a previous study, the authors defined layout as the structure of co-occurrence relationships among objects in space. They proposed a method to apply it to spatial mapping technology. In this paper, we propose a method for automatically obtaining layout information in space by automatically estimating the presence or absence of co-occurrence relationships in objects based on sensor data collected by a robot. Estimating co-occurrence relationships in objects based on geometric features resulted in the correct estimation of layout information with an accuracy of 72.1%.

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© 2023 The Japanese Society for Artificial Intelligence
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