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Found 2 papers, 1 papers with code
Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection
We demonstrate the performance of our GNN-based learning approach in a scenario of active target tracking with large networks of robots.
Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles
Deep learning techniques can be used for semantic segmentation of the aerial image to create a cost map for safe ground robot navigation.
Robotics
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