IUCA: A Model-Agnostic In Situ Uncertainty Calibration Framework for High-Dimensional State Estimation in AIoT Robotic Systems
Autonomous robots increasingly serve as mobile Artificial Intelligence of Things (AIoT) sensing nodes, where reliable edge perception and state estimation are critical to safe and efficient system operation. In practical deployment, uncertainties arising from perception and decision-making processes (e.g., localization...