OpenSocInt: A Multi-modal Training Environment for Human-Aware Social Navigation

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Authors: Victor F. Sanchez, Chris Reinke, Ahamed Mohamed, Xavier Alameda-Pineda
Cited by: 0

Abstract

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/.

Fields of Study & Subjects

Social Robot Interaction and HRI Speech and dialogue systems Multimodal Machine Learning Applications

Publication details

Journal / source
arXiv (Cornell University)
Publication date
5 January 2026
Document type
Preprint