How can a robot provide unobtrusive physical support within a group of humans? We present Attentive Support, a novel interaction concept for robots to support a group of humans. It combines scene perception, dialogue acquisition, situation understanding, and behavior generation with the common-sense reasoning capabilities of Large Language Models (LLMs). In addition to following user instructions, Attentive Support is capable of deciding when and how to support the humans, and when to remain silent to not disturb the group. With a diverse set of scenarios, we show and evaluate the robot's attentive behavior, which supports and helps the humans when required, while not disturbing if no help is needed.

翻译：机器人如何在不引人注意的情况下为人类群体提供物理支持？我们提出“智能支持”这一新颖交互概念，使机器人能够支持人类群体。该概念将场景感知、对话获取、情境理解与行为生成相结合，并借助大语言模型（LLMs）的常识推理能力。除了遵循用户指令外，智能支持还能够自主决定何时以及如何向人类提供支持，并在无需干预时保持沉默以免干扰群体。通过一系列多样化场景，我们展示并评估了机器人的智能行为：在需要时提供支持与帮助，而在无需帮助时则避免干扰。