AsgardBench Reveals Why Your Future Home Robot Might Still Spill the Coffee
Imagine telling your kitchen robot to clean a mug, only for it to scrub a spotless one endlessly. AsgardBench proves today's AI can't reliably adapt to what it sees, stalling real-world robot dreams.
β‘ Key Takeaways
- Vision doubles embodied AI success rates, but top models still fail 55-75% on adaptive planning.
- AsgardBench isolates visual grounding, becoming the must-pass test for household robots.
- Persistent failures in loops and state tracking show today's agents lack true reasoning.
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Originally reported by Microsoft Research AI
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