Excitation-Supervised Closed-Loop Self-Calibration and Target Seeking for an Unknown-Pose Range-Bearing Relay
The episode discusses a paper titled "Excitation-Supervised Closed-Loop Self-Calibration and Target Seeking for an Unknown-Pose Range-Bearing Relay." The hosts explore how this method uses motion data to continuously check the trustworthiness of a robot's internal calibration in unknown environments. They conclude that this provides a provable way to manage uncertainty, allowing robots to dynamically adjust exploration versus target seeking based on real-time data quality.