开源多模态社交导航仿真平台，支持训练更懂人的智能体。
OpenSocInt: A Multi-modal Training Environment for Human-Aware Social Navigation
- 构建可模块化扩展的多模态社交交互仿真环境
- 支持多种感知特征融合与智能体行为训练
- 适合研究社交机器人、人机交互的开发者和学者
本文介绍 OpenSocInt，一个开源软件包，提供多模态社交交互仿真环境及模块化架构，用于训练社交智能体。通过社交导航任务的实验协议，展示了该框架在探索不同感知特征及其编码融合方式方面的潜力。该平台支持多种智能体配置，允许灵活测试不同策略。软件已基于 GPL 许可公开发布于 https://gitlab.inria.fr/robotlearn/OpenSocInt/。
原文摘要 · Abstract (English)
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/.
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