… Abstract—We present a relational graph learning approach for robotic crowd navigation …
based on their latent features and uses a Graph Convolutional Network to encode higher-order …

… Recent works have demonstrated the potential of using deep reinforcement learning to
enable autonomous navigation in crowds. However, only considering the human-robot …

… experiments demonstrates that the crowd navigation policy with our augmented training …
relational graph learning approach for learning continuous crowd navigation policy, and our …

… novel navigation learning method in continuous action space among crowds based on
relational graph … Liu, “Robot navigation in crowds by graph convolutional networks with attention …

… In this work, we propose a crowd navigation policy with relation graph learning and investigate
the importance of asymmetric influence between dynamic humans and robot. In the state …

… temporal graph learning framework for crowd navigation trained with DRL, which is called
”ASTG”. First, we introduce graph attention … [28] present a relational graph model to learn …

… Our approach infers dynamically evolving relation graphs and hypergraphs to … navigation
method on our group-based crowd simulations, which demonstrates enhanced navigation …

… predicts human attention in crowd navigation scenarios. Second, we propose a novel
graph-represented reinforcement learning method for the crowd navigation task and demonstrate …

… the related research of crowd navigation and indicates the navigation problems to be solved.
Secondly, it describes the application of relational reasoning in crowd navigation. Finally, it …

… to improve navigation strategies in decentralized multi-robot crowd navigation. Firstly, we
devised a method for constructing robot-crowd heterogenous relation graph that effectively …