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Author

Murugan Sankaradas

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Conference Aug 2026

PRISM: Planning with Belief Under Incomplete World Models

Embodied task planning requires reasoning under uncertainty about world states that are partially observed and incrementally revealed through interaction. However, most vision-language model (VLM) planners operate in a reactive sense-plan-act loop without maintaining a persistent representation of object locations. As...

M. S. Yasar, Murugan Sankaradas, Srimat T. Chakradhar · 0 citations
Preprint Aug 2026

DamageScope: Vision-Language Retrieval at Scale for Disaster Damage Assessment from Satellite Imagery

DamageScope is a retrieval-augmented framework that combines satellite imagery with Vision-Language Models (VLMs) and Large Language Models (LLMs) to automate property damage analysis and introduces a novel multi-vector embedding-based clustering algorithm that outperforms traditional single-vector embedding approaches...

Ravi K. Rajendran, Biplob Debnath, Murugan Sankaradas et al. · 0 citations

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