In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Abstract: Due to the intensifying impacts of extreme climate changes, drought forecasting (DF), which aims to predict droughts from the historical meteorological data, has become increasingly critical ...

Abstract: To enhance the search efficiency and path quality of sampling-based path planning algorithms in high-dimensional spaces, an improved RRT* algorithm (ATG-RRT*) integrating adaptive target ...