English(EN) Failure Modes of Vision-Language Models for Human Activity Understanding in Thermal HRI

视觉-语言模型难以对机器人进行细粒度的热活动识别

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-22 04:00

一项新近发表在arXiv上的研究，调查了视觉-语言模型（VLMs）在热成像中用于人类活动理解和人机交互（HRI）时的性能。研究发现，尽管这些模型能够识别一般的活动类别，但它们在识别咳嗽或打哈欠等细粒度动作时遇到困难，经常出现幻觉事件，并产生不准确的时间线。该研究评估了包括为机器人设计的模型在内的七个VLMs，发现简单的预处理和额外的推理仅提供了有限的改进，突显了在实际机器人应用中的可靠性问题。 AI

影响强调了当前视觉-语言模型在充满挑战的条件下进行现实世界机器人感知方面的局限性，表明需要改进细粒度动作识别和可靠性。

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arXiv cs.CV TIER_1 English(EN) · Han Hu, He Chen · 2026-10-22 04:00

Failure Modes of Vision-Language Models for Human Activity Understanding in Thermal HRI

arXiv:2610.29244v1 Announce Type: new Abstract: Thermal cameras enable robots to perceive human activities in darkness while revealing less personally identifiable appearance information and fewer details of the surrounding environment than RGB cameras. As vision-language models …

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Failure Modes of Vision-Language Models for Human Activity Understanding in Thermal HRI

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