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AAMAS 2025

MapBot: A Multi-Modal Agent for Geospatial Analysis

Conference Paper Demo Track Autonomous Agents and Multiagent Systems

Abstract

MapBot is an interactive system to manipulate, analyze, and visualize geospatial data. It combines frontier computer vision models with a large language model running in a Read–Eval–Print Loop (REPL). Users can upload or select aerial or satellite imagery, annotate objects, and query the data using natural language and a point-and-click interface. The LLM agent loop enables the orchestration of Segment Anything and DinoV2, Python code generation and execution, and the display of results in a web interface. This approach lowers the barrier to geospatial analysis for non-experts, enabling rapid annotation and querying of complex data through dialogue that includes map-based interaction.

Authors

Keywords

  • Geospatial Analysis
  • Multi-Modal Models
  • Agentic Systems

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2025
Indexed papers
7403
Paper id
337400447021174420