Using The Concept Hierarchy for Household Action Recognition
This addresses the challenge of household action recognition for autonomous systems, but it appears incremental as it builds on existing concepts without claiming major breakthroughs.
The paper tackles the problem of enabling autonomous systems to recognize household actions by proposing the Concept Hierarchy, which systematically represents objects, agents, actions, and skills, resulting in a framework that supports action modeling, recognition, and task planning with generalization capabilities.
We propose a method to systematically represent both the static and the dynamic components of environments, i.e. objects and agents, as well as the changes that are happening in the environment, i.e. the actions and skills performed by agents. Our approach, the Concept Hierarchy, provides the necessary information for autonomous systems to represent environment states, perform action modeling and recognition, and plan the execution of tasks. Additionally, the hierarchical structure supports generalization and knowledge transfer to environments. We rigorously define tasks, actions, skills, and affordances that enable human-understandable action and skill recognition.