Toward Maturity-Based Certification of Embodied AI: Quantifying Trustworthiness Through Measurement Mechanisms
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866917190495633408 |
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| author | Darling, Michael C. Hesu, Alan H. Mardikes, Michael A. McGuigan, Brian C. Milewicz, Reed M. |
| author_facet | Darling, Michael C. Hesu, Alan H. Mardikes, Michael A. McGuigan, Brian C. Milewicz, Reed M. |
| contents | We propose a maturity-based framework for certifying embodied AI systems through explicit measurement mechanisms. We argue that certifiable embodied AI requires structured assessment frameworks, quantitative scoring mechanisms, and methods for navigating multi-objective trade-offs inherent in trustworthiness evaluation. We demonstrate this approach using uncertainty quantification as an exemplar measurement mechanism and illustrate feasibility through an Uncrewed Aircraft System (UAS) detection case study. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_03470 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Toward Maturity-Based Certification of Embodied AI: Quantifying Trustworthiness Through Measurement Mechanisms Darling, Michael C. Hesu, Alan H. Mardikes, Michael A. McGuigan, Brian C. Milewicz, Reed M. Artificial Intelligence Machine Learning We propose a maturity-based framework for certifying embodied AI systems through explicit measurement mechanisms. We argue that certifiable embodied AI requires structured assessment frameworks, quantitative scoring mechanisms, and methods for navigating multi-objective trade-offs inherent in trustworthiness evaluation. We demonstrate this approach using uncertainty quantification as an exemplar measurement mechanism and illustrate feasibility through an Uncrewed Aircraft System (UAS) detection case study. |
| title | Toward Maturity-Based Certification of Embodied AI: Quantifying Trustworthiness Through Measurement Mechanisms |
| topic | Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2601.03470 |