Article

Learning-Based Informative Path Planning for Multi-Robot Systems: A Spatio-Temporal Gaussian Process Kalman Filter Framework

The authors propose a grid-based spatio-temporal Gaussian process-Kalman filter framework for learning-based multi-robot informative path planning, representing anonymous target presence as a single latent variable field over a discrete workspace grid rather than maintaining one Gaussian process per target.

Part of the event: Authors propose spatiotemporal GP-KF framework for multi-robot informative path planning

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