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Yanzhe Chen et al. propose PAPAV, a unified capability framework for multimodal embodied agents
2 reports · 2 sources
Yanzhe Chen and other researchers propose PAPAV, a capability-centric unified framework that summarizes the recurring functions of multimodal embodied agents (MMEA) into five items: perceiving the current state, predicting action effects, planning feasible paths, executing through an interface or body, and verifying results. The framework defines capabilities by function rather than architecture, and is used to identify commonalities between MMEA and multimodal agents (MMA) and robotic systems (RS) and to compare them. An analysis based on 64 benchmarks shows that explicit evaluation concentrates on execution (Act), with only 5 benchmarks evaluating prediction and 3 evaluating verification; these two capabilities are mostly hidden behind task success rates. The paper also points out that five physical constraints, ranging from partial observability to unverifiable outcomes, make fewer options available and errors harder to reverse.
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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 distills the recurring functions of multimodal embodied agents (MMEAs) into five: Perceive the current state, Anticipate action effects, Plan a feasible course, Act through an interface or body, and Verify the outcome.
arXiv cs.RO ·
- 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.
HuggingFace Daily Papers ·