IntentionNav - Affordance Intents: leaderboard
Metric: Success rate (%) within 2.0 m on the affordance intents (only what the target does or looks like is given), 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 October 2028. 3 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3.6 Plus | 20.8 |
| 2 | Gemini 3.1 Flash Lite | 18.2 |
| 3 | GPT-5.4 | 16.5 |
Interactive version: theaggregate.ai/benchmark?slug=intentionnav-affordance-intents · How It Works · Data refreshed daily, snapshot 2026-10-07.