AI in robotics is advancing rapidly, but unpredictable behaviour remains a serious safety concern. Robots driven by AI can act unexpectedly due to complex environments, incomplete data, or unexpected interactions, posing risks to people and equipment.
The article highlights challenges like sensor errors, software bugs, and unforeseen scenarios causing robots to behave in harmful or unintended ways. Such unpredictability can damage trust, result in costly accidents, and lead to regulatory scrutiny.
To mitigate these risks, the piece stresses the importance of rigorous testing, continuous monitoring, and robust control systems that can detect and correct unsafe actions before they escalate.
Axonyx addresses these critical safety challenges by providing a governance platform that oversees AI behaviour in real time. Axonyx’s Control layer enforces strict policies to prevent unsafe or non-compliant AI actions, while the View layer offers transparent monitoring with alerts for anomalies and hallucinations.
This combined approach enables organisations to deploy AI-powered robotics confidently, ensuring predictable and audit-ready operations. Unlike traditional safety methods that only test beforehand, Axonyx delivers continuous enforcement and observability — essential in complex and dynamic environments.
For industries dealing with robotics and automation, Axonyx turns AI from a potential risk into a controlled system, providing clear evidence of compliance and responsible AI use.
Read the original article here: https://roboticsandautomationnews.com/2026/01/06/ai-safety-in-robotics-preventing-unpredictable-robot-behavior/97979/
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