CAI: Comprehensive Open-Source Framework for AI Safety Testing in Robotics
CAI is an open-source toolkit developed by Alias Robotics for analyzing and testing the safety of robotic systems powered by artificial intelligence. It offers a modular architecture to simulate and evaluate AI behaviors in robotics environments, emphasizing risk detection and automated verification. With customizable scenarios, runtime monitors, and integration plugins, CAI enables developers to assess robot decision-making under diverse, potentially hazardous conditions. The framework supports both offline simulations and real-time operation, facilitating proactive identification of unsafe states, control anomalies, or unintended actions. By equipping robotics teams with automated testing and assessment capabilities, CAI promotes stronger safety assurance practices within the AI robotics development lifecycle.
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