Nonmyopic Informative Path Planning Based on Global Kriging Variance Minimization

Review Computer Science, Interdisciplinary Applications

State-of-the-Art and Comparative Review of Adaptive Sampling Methods for Kriging

Jan N. Fuhg et al.

Summary: This article reviews the adaptive schemes for kriging proposed in the literature, highlighting the importance and applications of adaptive sampling techniques, as well as the factors influencing experimental results and success factors.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)

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Article Robotics

Autonomous UAV Exploration of Dynamic Environments Via Incremental Sampling and Probabilistic Roadmap

Zhefan Xu et al.

Summary: The proposed dynamic exploration planner (DEP) utilizes incremental sampling and Probabilistic Roadmap (PRM) to explore unknown environments, demonstrating successful exploration in dynamic environments while outperforming benchmark planners in terms of exploration time, path length, and computational time.

IEEE ROBOTICS AND AUTOMATION LETTERS (2021)

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Proceedings Paper Automation & Control Systems

Online Informative Path Planning for Active Information Gathering of a 3D Surface

Hai Zhu et al.

Summary: This paper introduces an online informative path planning approach for active information gathering on three-dimensional surfaces using manifold Gaussian processes with geodesic kernel functions. The method plans information-gathering paths based on recent observations, respecting dynamic vehicle constraints and a total flight time budget. Results demonstrate that this approach outperforms traditional methods in reconstruction error and information-theoretic metrics, showing significant improvement in information gathering efficiency by taking spatial correlations into account.

2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021) (2021)

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Article Robotics