Robot systems capable of executing tasks based on language instructions have been actively researched. It is challenging to convey uncertain information that can only be determined on-site with a single language instruction to the robot. In this study, we propose a system that includes ambiguous parts as template variables in language instructions to communicate the information to be collected and the options to be presented to the robot for predictable uncertain events. This study implements prompt generation for each robot action function based on template variables to collect information, and a feedback system for presenting and selecting options based on template variables for user-to-robot communication. The effectiveness of the proposed system was demonstrated through its application to real-life support tasks performed by the robot.

翻译：能够根据语言指令执行任务的机器人系统已得到广泛研究。如何通过单一语言指令向机器人传达仅能在现场确定的不确定信息是一项挑战。本研究提出一种系统，将语言指令中的模糊部分作为模板变量，用于向机器人传达可预测不确定事件中需收集的信息及待呈现的选项。本研究实现了基于模板变量的各机器人行动功能提示生成以收集信息，并构建了基于模板变量的选项呈现与选择反馈系统以促进人机交互。通过将该系统应用于机器人执行的实际生活支持任务，验证了其有效性。