SOURCE-LINKED INTELLIGENCE
REBOOT: From Failure to Recovery - A Dataset and Benchmark for Precision Assembly
Robot learning policies fail in characteristic ways: they stall in uncertain states, drift during contact-rich alignment, and miss targets by millimetres in precision tasks. Yet training datasets consist largely of successful demonstrations, while real-world benchmarks often reduce performance to binary success. This limits both supervision for recovery and analysis of where failures occur. We introduce REBOOT (Recovery Episode Benchmark for Off-nominal Trajectories), the first robot manipulation benchmark designed around failure as a first-class signal. REBOOT contains 2,160 demonstrations ac
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T21:14:54.000Z
First collected: 2026-09-23T12:01:45.602Z. This is not the publication date.