Online Goal Recognition

Online goal recognition aims to quickly and accurately determine an agent's objectives by observing its actions in real-time, a crucial task for applications like robotics and human-computer interaction. Current research focuses on improving efficiency through techniques like leveraging visual similarity and trajectory matching, employing simplified motion models for continuous domains, and integrating symbolic planning with data-driven approaches. These advancements enable faster and more robust goal recognition, particularly in complex, dynamic environments, with significant implications for autonomous systems and human behavior understanding.