OLAhGP optimizes receding-horizon waypoints using the Gaussian process posterior over multiple steps to produce more informative paths for environmental monitoring than prior methods.
Gaussian processes for data-efficient learning in robotics and control,
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Multi-Step Gaussian Process Propagation for Adaptive Path Planning
OLAhGP optimizes receding-horizon waypoints using the Gaussian process posterior over multiple steps to produce more informative paths for environmental monitoring than prior methods.