This paper proposes a novel method for human skeleton-based action recognition using a Topology Unshared Graph Convolutional Network (TU-GCN). This approach enhances recognition accuracy and network ...

In this work, we propose a novel topology-driven trajectory optimization strategy for dynamic environments that plans multiple distinct evasive trajectories to enhance the robot's behavior and ...