Goal-Guided and Interaction-Aware State Refinement Graph Attention Network for Multi-Agent Trajectory Prediction.
Xiaobo ChenFengbo LuoFeng ZhaoQiaolin YePublished in: IEEE Robotics Autom. Lett. (2024)
Keyphrases
- multi agent
- prediction accuracy
- protein interaction
- complex networks
- network structure
- radial basis function network
- dynamic networks
- graph theory
- directed graph
- human computer interaction
- wireless sensor networks
- random graphs
- random walk
- cooperative
- fully connected
- network size
- focus of attention
- graphical representation
- graph theoretic
- graph representation
- graph structure
- intelligent agents
- state space
- spanning tree
- structured data
- user interaction
- scale free
- protein interaction networks
- mobile robot
- artificial neural networks
- clustering coefficient
- leader follower