Identifying Uncertainty in Self-Adaptive Robotics with Large Language Models

Future self-adaptive robots are expected to operate in highly dynamic environments while effectively managing uncertainties. We evaluate the potential of large language models in enabling a systematic and automated approach to identify these uncertainties throughout the software engineering lifecycle.