A source-linked abstract prepared once when this article was collected.
NEWS ABSTRACT10/22/2026 · one shared analysis
The paper defines multimodal embodied agents as goal-directed systems coupling multimodal reasoning with physical action and feedback-driven revision. It introduces PAPAV, a five-capability framework (Perceive, Anticipate, Plan, Act, Verify) meant to compare computer-use agents, robot systems, and embodied agents. Reviewing 64 benchmarks, the authors report that explicit evaluation centers on Act, with only 5 assessing Anticipate and 3 assessing Verify, so these capabilities are largely hidden behind task success. The framework is proposed as a common basis for designing and measuring physical agents.
Why it matters
Task success alone can obscure whether an agent anticipates action effects or verifies outcomes, which matters for reliable physical agents where errors are harder to reverse.
Read with care
Source claims not independently checked; the benchmark counts come from the authors' own survey and depend on their inclusion criteria.
multimodal agentsembodied airoboticsbenchmarksevaluation
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