SOURCE-LINKED INTELLIGENCE
A Taxonomy of Construction Task Activities for Robot Workers
Recent vision-language-action models offer a path toward robots with broader repertoires than conventional task-specific systems. Construction deployment, however, requires a precise inventory of worker activities and the capabilities needed to execute them. We present TARCAT, an occupation-grounded taxonomy derived from 91 O*NET tasks across seven high-employment construction occupations and 30 instructional videos of physical work. TARCAT defines 41 action primitives in 12 groups and three classes and provides a mechanism for composing parameterized primitive sequences into reusable skills.
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-26T05:42:54.000Z
First collected: 2026-09-21T09:22:01.459Z. This is not the publication date.