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/.

翻译：本文介绍了OpenSocInt，这是一个开源软件包，它提供了一个用于多模态社交交互的模拟器，以及一个用于训练社交智能体的模块化架构。我们描述了该软件包，并通过一项基于社交导航任务的实验方案展示了其应用价值。我们的框架允许探索不同感知特征的使用、它们的编码与融合，以及不同智能体的应用。该软件已在GPL协议下公开提供，地址为：https://gitlab.inria.fr/robotlearn/OpenSocInt/。