IntentionNav - Inner State Intents: leaderboard

Metric: Success rate (%) within 2.0 m on the inner-state intents (the speaker's desire, emotion or bodily state implies the target), over IntentionNav's 2,000 episodes (500 implicit-intent instructions in four styles, 176 Isaac Sim scenes, 64 target categories, target name withheld), the VLM driving the benchmark's fixed reference active-navigation agent (RGB-D, open-vocabulary detection, map memory, 30-step budget); higher is better. Source: arxiv.org. Saturation forecast: Around May 2028. 3 models tracked.

Top models

#ModelScore
1Gemini 3.1 Flash Lite26.8
2GPT-5.426
3Qwen 3.6 Plus22.5

Interactive version: theaggregate.ai/benchmark?slug=intentionnav-inner-state-intents · How It Works · Data refreshed daily, snapshot 2026-10-07.