RORA.h
AI-assisted risk assessment for humanoid robots
RORA.h is a methodology for structured risk assessment when deploying humanoid robots — particularly in sensitive application areas such as care, disaster response, and public spaces.
The underlying methodology CPWaRec (Context-Parameterized Weighted Risk Classification) was developed by an interdisciplinary team. The software implementation was built by Marc-André Gödeke.
The tool enables organisations to systematically capture, weight, and document risks in clear reports — before a robot enters productive use.