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Tutorials

This collection of tutorials will guide you through the features and capabilities of the sgptools library. You will learn how to model a variety of sensor placement and informative path planning problems, from basic setups to more advanced, real-world scenarios.

We include tutorials for the following:

  • Informative Path Planning: This tutorial covers various Informative Path Planning (IPP) scenarios using the sgptools library. It starts with a basic setup and then explores single-robot and multi-robot IPP with different sensor configurations.

  • Adaptive Informative Path Planning: This tutorial demonstrates Adaptive Informative Path Planning (AIPP), where a robot can update its understanding of the environment and re-plan its path on the fly as it gathers new data.

  • Non-Stationary Kernels: This tutorial walks you through using non-stationary kernels within the sgptools library. It compares the performance of a Neural Kernel, an Attentive Kernel, and a standard RBF Kernel on a sensor placement task.