UESF-Bench: Benchmarking and Probing for Unified Embodied Seeking and Following
Language-guided human following is an important capability for embodied agents, but existing benchmarks typically assume that the target person is visible at the start of an episode. This setting simplifies the problem and overlooks a more realistic requirement: an agent often needs to first find a language-described target and then persistently follow that target in a dynamic environment. While recent work has started to study human search, existing settings are typically evaluated in task-spec
Record details
Published: 15 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 16 July 2026
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ethics.ai (15 July 2026), “UESF-Bench: Benchmarking and Probing for Unified Embodied Seeking and Following,” evidence record 10915, https://ethics.ai/record/10915 (originally published by arXiv cs.AI).
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