Autonomous Systems Safety Control
This application area focuses on enforcing safety, compliance, and operational guardrails around autonomous and semi-autonomous systems in mining, particularly those running at the edge (on vehicles, sensors, and local control systems). It provides a dedicated control layer that monitors, inspects, and filters the decisions, actions, and recommendations produced by autonomous agents before they can affect people, equipment, or the environment. In high-risk, highly regulated mining operations, autonomous systems can inadvertently generate unsafe or non-compliant instructions, especially when operating in complex, dynamic conditions. Autonomous Systems Safety Control uses advanced models and rule-based logic to detect and correct such behavior in real time, ensuring alignment with safety standards, regulatory requirements, and internal SOPs. This reduces the likelihood of accidents, environmental incidents, and regulatory breaches while preserving the efficiency and productivity benefits of autonomy.
The Problem
“Your autonomous systems move faster than your safety controls can keep up”
Organizations face these key challenges:
Autonomous vehicles and equipment occasionally propose maneuvers that make engineers nervous
Safety teams only see risky AI behavior after an incident or near-miss, not before
Control logic is a brittle mix of PLC rules, scripts, and tribal knowledge that’s hard to audit or update