Multi-Agent Discovery and Resource-Aware Autonomous Exploration of Scientific Datasets
Modern scientific facilities and instruments generate datasets at scales that are difficult for individual researchers to discover, access, and explore. Although many datasets are publicly available, using them often requires familiarity with repository organization, data formats, multiresolution structures, and visualization parameters. We present WebVisus, a constrained and resource-aware multi-agent system for discovering and autonomously exploring remote, multiresolution scientific datasets. Given a natural-language research question, WebVisus identifies the user's intent and launches an autonomous exploration agent that examines slices, volumes, and timesteps while adapting data reso...
| Authors | Aashish Panta, Hugo Lee, Giorgio Scorzelli et al. |
|---|---|
| Primary category | cs.HC |
| Published | 22 August 2026 |
| Last updated at source | 22 August 2026 |
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