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Main Authors: Sanchez, Victor, Reinke, Chris, Mohamed, Ahamed, Alameda-Pineda, Xavier
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2601.01939
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author Sanchez, Victor
Reinke, Chris
Mohamed, Ahamed
Alameda-Pineda, Xavier
author_facet Sanchez, Victor
Reinke, Chris
Mohamed, Ahamed
Alameda-Pineda, Xavier
contents In this paper, we introduce OpenSocInt, an open-source software package providing a simulator for multi-modal social interactions and a modular architecture to train social agents. We described the software package and showcased its interest via an experimental protocol based on the task of social navigation. Our framework allows for exploring the use of different perceptual features, their encoding and fusion, as well as the use of different agents. The software is already publicly available under GPL at https://gitlab.inria.fr/robotlearn/OpenSocInt/.
format Preprint
id arxiv_https___arxiv_org_abs_2601_01939
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle OpenSocInt: A Multi-modal Training Environment for Human-Aware Social Navigation
Sanchez, Victor
Reinke, Chris
Mohamed, Ahamed
Alameda-Pineda, Xavier
Artificial Intelligence
In this paper, we introduce OpenSocInt, an open-source software package providing a simulator for multi-modal social interactions and a modular architecture to train social agents. We described the software package and showcased its interest via an experimental protocol based on the task of social navigation. Our framework allows for exploring the use of different perceptual features, their encoding and fusion, as well as the use of different agents. The software is already publicly available under GPL at https://gitlab.inria.fr/robotlearn/OpenSocInt/.
title OpenSocInt: A Multi-modal Training Environment for Human-Aware Social Navigation
topic Artificial Intelligence
url https://arxiv.org/abs/2601.01939