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PAPAV: A Unified Capability Framework for Multimodal Embodied Agents from Computer Use to Robot Use

The paper proposes PAPAV, a capability-centric unified framework that characterizes multimodal embodied agents (MMEAs) through five functions: Perceive, Anticipate, Plan, Act, and Verify, and uses it to compare multimodal agents (MMAs) with robotic systems (RSs). An analysis across 64 benchmarks shows that explicit evaluation centers on Act, with only 5 assessing Anticipate and 3 assessing Verify. Physical constraints make errors harder to reverse, and PAPAV provides a common basis for designing reliable physical agents and measuring progress across the five capabilities.

Part of the event: Yanzhe Chen et al. propose PAPAV, a unified capability framework for multimodal embodied agents

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