Claude Opus 5.5 Struggles with Stopping Criteria in Robot Arm Control

Original title: Knowing when to stop is hard for language models controlling a robot arm
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Recent tests reveal that Claude Opus 5.5 struggles with stopping criteria when controlling a robot arm. While the model correctly identified task completion, it entered an inefficient loop of pushing and pulling for 22 minutes after declaring success. This highlights a critical gap in current LLMs' ability to autonomously terminate actions in embodied AI scenarios.

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Artificial Analysis (@ArtificialAnlys) · 2026-11-04 01

Knowing when to stop is hard for language models controlling a robot arm

➤ Claude Opus 5.5 completed the task in 23 minutes, and said so: "The crocodile looks fully inside now"

➤ It then spent 22 minutes pushing the crocodile back and forth, only to finish almost exactly where it was before

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