Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...
Abstract: Data quality is essential for the performance of deep neural networks in various fields. However, label noise and class imbalance are common data issues, which cause deep learning models to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results