Graph Neural Network-based motion planning offers significant advancements in robotic navigation. The diverse approaches of GraphMP, the End-to-End planner, and MPNet demonstrate that this technology ...

This novel method combines transformer-enabled graph convolutional networks for predicting human motion in 3-D skeleton data. It integrates a temporal transformer (T-Transformer) for comprehensive ...