Using The Concept Hierarchy for Household Action Recognition
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909314943287296 |
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| author | Costinescu, Andrei Figueredo, Luis Burschka, Darius |
| author_facet | Costinescu, Andrei Figueredo, Luis Burschka, Darius |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_08853 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Using The Concept Hierarchy for Household Action Recognition Costinescu, Andrei Figueredo, Luis Burschka, Darius Artificial Intelligence Robotics 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. |
| title | Using The Concept Hierarchy for Household Action Recognition |
| topic | Artificial Intelligence Robotics |
| url | https://arxiv.org/abs/2409.08853 |