This research introduces a novel approach for robots to plan and act intelligently in human-interactive situations using Large Language Models.

• Balances the dual priorities of respecting human activity while accomplishing robot tasks
• Develops a framework that determines optimal timing for LLM-based action planning
• Enables robots to navigate social contexts and generate appropriate interaction plans
• Creates more natural and effective human-robot collaboration

For engineering teams, this research provides a practical framework to solve a fundamental challenge in robotics: creating socially aware machines that can function effectively alongside humans without disrupting natural workflows.

Plan-and-Act using Large Language Models for Interactive Agreement