iAm.md: Robot Skill Self-Assessment through Agentic Introspection for Unknown Open-Vocabulary Domains
The paper introduces iAm.md, a Markdown standard and generation framework for robot behavior planning using agentic introspection. It combines persistent object records derived from semantic mapping with a standardized robot description to allow AI agents to self-assess their ability to perform tasks in unknown environments.