November 19, 2025The International Journal of Robotics Research

Fully differentiable sensor placement and informative path planning

View Full Paper

Ask AI

Bookmark

Authors

KJKalvik Jakkala SASrinivas Akella

Discussion

Member takes

Implication

New approach for sensor placement improves data gathering in environmental monitoring, suggesting potential for autonomous underwater vehicle applications.

Key Points

The variational formulation enables computationally efficient sensor placement and path planning.
Performance matches more costly methods while reducing computational expenses significantly.
The approach leverages sparse Gaussian processes to integrate diverse sensor types efficiently.
Field experiments validate the method's effectiveness, highlighting open-source resources for broader use.

Cite This Study

Jakkala et al. (2025) studied this question.

synapsesocial.com/papers/6924f095c0ce034ddc350d5e https://doi.org/10.1177/02783649251384993

View Full Paper

Ask AI

Bookmark

Implication

New approach for sensor placement improves data gathering in environmental monitoring, suggesting potential for autonomous underwater vehicle applications.

Fully differentiable sensor placement and informative path planning

Discussion

Member takes

Implication

Key Points

Cite This Study

Fully differentiable sensor placement and informative path planning

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider