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Using The Concept Hierarchy for Household Action Recognition

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arxiv 2409.08853 v1 pith:TQMUS5PT submitted 2024-09-13 cs.AI cs.RO

classification cs.AIcs.RO
keywords actionrecognitionactionsagentsconceptenvironmentenvironmentshierarchy
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Adaptation of Task Goal States from Prior Knowledge

    cs.RO 2025-02 conditional novelty 4.0 of 10

    The paper defines task goal states as variations (subsets of value domains) and shows how to build them from a single demonstration and plan to satisfy them.

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