LLMs for Text-Based Exploration and Navigation Under Partial Observability

📰 ArXiv cs.AI

Learn how to use LLMs for text-based exploration and navigation in unknown environments with partial observability

advanced Published 14 Apr 2026
Action Steps
  1. Build a text-based controller using LLMs to navigate in unknown layouts
  2. Configure the LLM to function under partial observability without code execution or program synthesis
  3. Test the LLM controller in a reproducible benchmark with oracle localization in fixed ASCII gridworlds
  4. Apply the LLM controller to real-world scenarios such as inspection, logistics, and search-and-rescue
  5. Compare the performance of the LLM controller with other navigation methods
Who Needs to Know This

Researchers and developers working on AI and robotics can benefit from this knowledge to improve navigation and exploration in unknown environments

Key Insight

💡 LLMs can function as text-only controllers under partial observability without code execution or program synthesis

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🤖 LLMs can be used for text-based exploration and navigation in unknown environments with partial observability! #LLMs #AI #Robotics
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