Using The Concept Hierarchy for Household Action Recognition
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 4 of its 12 references that are in the map. First posted on arXiv 13 Sep 2024.
Builds on
4 of 12 references.
References · 4
- 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,161
- 2018Human Action Recognition and Prediction: A Surveycited by 226
- 2017Intel RealSense Stereoscopic Depth Camerascited by 82
- 2019Learning Object-Action Relations from Bimanual Human Demonstration Using Graph Networkscited by 29
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Citing papers per year: 2025: 1.
1 paper.
- 2025Adaptation of Task Goal States from Prior Knowledgecited by 0
- 2025Adaptation of Task Goal States from Prior Knowledge6 Feb 2025