Abstract
In this paper, we present an in-depth analysis of Navigation Among Movable Obstacles (NAMO) literature, notably highlighting that social acceptability remains an unadressed problem in this robotics navigation domain. The objectives of a Socially-Aware NAMO are defined and a first set of algorithmic propositions is built upon existing work. We developed a simulator allowing to test our propositions of social movability evaluation for obstacle selection, and social placement of objects with a semantic map layer. Preliminary pushing tests are done with a Pepper robot, the standard platform for the Robocup@home SSPL (SSPL: Social Standard Platform League), in the context of our participation (LyonTech Team).
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CITATION STYLE
Renault, B., Saraydaryan, J., & Simonin, O. (2019). Towards S-NAMO: Socially-Aware Navigation Among Movable Obstacles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11531 LNAI, pp. 241–254). Springer. https://doi.org/10.1007/978-3-030-35699-6_19
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