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Mohammad Eskandari

2 papers indexed

arxivcs.CVcs.AIcs.RO2026-07-18

Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies

Murali Indukuri, Mohammad Eskandari, Sree Nitya Kollu, Stephanie Lukin, Cynthia Matuszek

Modern safety-critical systems increasingly rely on human-robot interaction to reduce disaster risk and support decision-making during emergencies. Vision-Language Models (VLMs) are promising for these settings because they can interpret complex scenes and communicate safety-rele…

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arxivcs.ROcs.AIcs.CV2026-07-18

Autonomous VR-Based Risk Detection for Situational Awareness in Dangerous Settings

Mohammad Eskandari, Murali Krishna Varma Indukuri, Stephanie M. Lukin, Cynthia Matuszek

In high-risk environments such as disaster response, situational awareness depends not only on detecting hazards but also on communicating them clearly to human operators. Vision Language Models (VLMs) have shown strong potential for scene understanding in safety-critical setting…

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