Abstract: To address the issues of insufficient interaction modeling and error accumulation in pedestrian trajectory prediction under complex scenarios, a two-stage ...
Complete Workflow Guide: From installation and creating your first relationships, to bidirectional sync, graph views, color rules, filtering, and more. Set relationships in one direction, the reverse ...
Abstract: Graph Neural Networks (GNNs) are applied to multi-robot path planning due to their advantages in learning communication strategies in decentralized multi-intelligence systems, and to ...
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