Papers by Guokuan Li

1 papers
RATE-Nav: Region-Aware Termination Enhancement for Zero-shot Object Navigation with Vision-Language Models (2025.findings-acl)

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Challenge: Object navigation is a fundamental task in embodied artificial intelligence.
Approach: They propose a region-aware Termination-Enhanced method that incorporates visual language models and exploration rates to enable efficient termination.
Outcome: The proposed method achieves a success rate of 67.8% and an SPL of 31.3% on the HM3D dataset.

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