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CT-SAFR: Safe and Interpretable Chain-of-Thought Reasoning for Autonomous Robots: A Multi-Layered Verification Framework for Trustworthy AI-Driven Robotic Decision Making

arxiv.org/abs/2609.09692

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Updated 4 h ago · first seen 11 Sept 2026

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Published
11 Sept 2026
T1 · 4 h ago
arXiv
2609.09692
T1 · 4 h ago
Category
cs.RO
T1 · 4 h ago

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Official pageofficial_url1

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https://arxiv.org/abs/2609.09692currentcurrentarXiv (Atom API + RSS)T1highdeterministic

Abstractabstract1

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Chain-of-Thought (CoT) prompting enables LLMs to perform explicit, step-by-step reasoning, creating opportunities for sophisticated autonomous robots. However, recent research reveals that reasoning models verbalize their actual decision processes only 25-39% of the time, with faithfulness degrading 44% on complex tasks. This paper presents CT-SAFR (Chain-of-Thought Safety and Faithfulness for Robotics), a multi-layered verification framework achieving 94.2% hallucination detection (n = 500, 95% CI: 91.8-95.9%) with sub-500ms latency. Through a warehouse robot case study, this work demonstrates 87% reduction in unsafe reasoning outputs (p < 0.001) and provides recommendations for responsible deployment of reasoning-capable autonomous robots.currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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crosscurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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2609.09692currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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Cagri TemelcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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cs.RO, cs.AIcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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10.1109/CAI68641.2026.11536646currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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https://arxiv.org/pdf/2609.09692currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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cs.ROcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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11 Sept 2026currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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