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April 20, 20260 citationsOpen Access

Governance Architecture for Safe Autonomous Robotics with Bounded Behavior

A Governance Architecture for Safe and Bounded Autonomous Robotics

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Authors

ABAndreas BlumerScherrer (Switzerland)

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Overview

Introduces a governance framework to ensure safe and bounded behavior in autonomous systems, implying more reliable AI operations.

Key Points

  • The research aims to develop a governance architecture that ensures safe and bounded behavior in autonomous robotics.
  • Introduced a three-layer governance architecture model: Capability Governance, Non-Bypassable Execution Control, and Runtime Safety Enforcement.
  • Defined clear constraints and controls for system capabilities and actions.
  • Established supervisory mechanisms to monitor and enforce safety constraints at runtime.
  • Proposed layers prevent unauthorized actions by separating capability definition from execution authority.
  • Demonstrated that systems can remain safe despite adaptive or learning behaviors through strict control mechanisms.
  • Outlined architecture as a scalable framework for various applications in autonomous and industrial systems.

Cite This Study

Andreas Blumer (2026) studied this question.

synapsesocial.com/papers/69e5c36103c29399140292d7https://doi.org/10.5281/zenodo.19646368
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