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AAMAS 2025

Intention Recognition in Real-Time Interactive Navigation Maps

Conference Paper Demo Track Autonomous Agents and Multiagent Systems

Abstract

In this demonstration, we develop IntentRec4Maps, a system to recognise users’ intentions in real-time interactive navigation maps. IntentRec4Maps uses the Google Maps Platform as the realworld interactive map, and a well-known approach for recognising intentions in real-time. We showcase IntentRec4Maps using two different Path-Planners and a Large Language Model (LLM).

Authors

Keywords

  • Intention Recognition
  • Goal Recognition
  • Path Planning

Context

Venue
International Conference on Autonomous Agents and Multiagent Systems
Archive span
2002-2026
Indexed papers
8043
Paper id
1052538415837812772
v2026.09.13