Abstract: Few-shot Class Incremental Learning (FSCIL) presents a challenging yet realistic scenario, which requires the model to continually learn new classes with limited labeled data (i.e., ...
Abstract: This article proposes a state-attracted function-based trajectory planning and tracking control (SAF-TPATC) method for robotic systems that achieves simultaneous trajectory planning, ...