Bidirectional Human Interactive AI Framework for Social Robot Navigation
Trustworthiness is a crucial concept in the context of human-robot interaction. Cooperative robots must be transparent regarding their decision-making process, especially when operating in a human-oriented environment. This paper presents a comprehensive end-to-end framework aimed at fostering trust...
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Zusammenfassung: | Trustworthiness is a crucial concept in the context of human-robot
interaction. Cooperative robots must be transparent regarding their
decision-making process, especially when operating in a human-oriented
environment. This paper presents a comprehensive end-to-end framework aimed at
fostering trustworthy bidirectional human-robot interaction in collaborative
environments for the social navigation of mobile robots. In this framework, the
robot communicates verbally while the human guides with gestures. Our method
enables a mobile robot to predict the trajectory of people and adjust its route
in a socially-aware manner. In case of conflict between human and robot
decisions, detected through visual examination, the route is dynamically
modified based on human preference while verbal communication is maintained. We
present our pipeline, framework design, and preliminary experiments that form
the foundation of our proposition. |
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DOI: | 10.48550/arxiv.2404.04069 |