Author

Zaruhi Navasardyan

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#artificial intelligence Preprint Sep 2026

FailBench: How Reliable are VLMs at Judging Robot Task Success?

This work introduces FailBench, a benchmark for robot failure detection comprising 2,197 manipulation attempts across 14 public sources (12 real-world, 2 simulated), and shows that input-level intervention--spatially localizing and cropping outcome-relevant regions--improves the top detector by 2.4 percentage points wi...

Zaruhi Navasardyan, Tatul Danielyan, Hrant Davtyan · 1 citation

#artificial intelligence Preprint Aug 2026

A Statistical Audit of Physical AI Benchmark Redundancy

A matrix of 51 models on 12 physical AI benchmarks, selected from a registry of 51 benchmarks and 152 models by reporting density is constructed, combining scores from model cards and benchmark papers with their own evaluation runs under each benchmark's official protocol.

Zaruhi Navasardyan, Hrant Davtyan · 0 citations