OpenSocInt: A Multi-modal Training Environment for Human-Aware Social Navigation
This provides a tool for researchers in robotics and AI to study human-aware social navigation, but it is incremental as it builds on existing simulation and training methods.
The authors introduced OpenSocInt, an open-source simulator and modular framework for training social agents in multi-modal social interactions, focusing on social navigation tasks, and demonstrated its utility through an experimental protocol.
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/.