How Should I Pick a Foundation Model for My Robot? In Favor of a Community Evaluation Framework for Social Robots

📅 2026-08-07
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work addresses the lack of effective and scalable evaluation methodologies for foundational models in social robotics. It proposes a three-tiered evaluation funnel paradigm that integrates general-purpose metrics, simulated interactions, and real-world robot experiments. For the first time, it defines five core evaluation dimensions for social robot foundation models and establishes a cross-tier community-driven collaborative evaluation framework. The approach systematically elucidates the mapping relationships between these dimensions across the three evaluation tiers, identifies critical gaps in current assessment practices, and fosters the co-development of standardized evaluation protocols. By doing so, it provides both theoretical grounding and practical pathways to guide the selection and optimization of foundational models in social robotics.
📝 Abstract
Researchers who seek to build social robot applications on foundation models are faced with a difficult question: how should we pick a model? Public leaderboards offer little guidance: the demands of real-time, embodied social interaction lie largely outside their focus. And direct evaluation is impractical at scale: each embodied study requires scarce participant, robot, and experimenter time. In this paper, we identify five evaluation dimensions for foundation models in social robots: (i) conversational competence, (ii) user safety, (iii) embodied character, (iv) target scene effectiveness, and (v) audience appropriateness. To make model selection cheaper and better informed, we propose a three-tiered evaluation funnel paradigm that first filters with general metrics, then extends to simulated interactions, and terminates in more expensive, robot-specific evaluation. We map all five dimensions across all three tiers, chart where applicable evaluation methods exist and are missing, and close with a call to action: let's build the evaluation framework together as a community.
Problem

Research questions and friction points this paper is trying to address.

foundation model
social robots
model evaluation
embodied interaction
evaluation framework
Innovation

Methods, ideas, or system contributions that make the work stand out.

foundation models
social robots
evaluation framework
embodied interaction
community benchmarking