Abstract
We present an anytime [1] adaptive sampling technique that generates paths to efficiently measure and then mathematically model a scalar field by performing non-uniform measurements in a given region of interest.
Cite
CITATION STYLE
APA
Manjanna, S., Van Hoof, H., & Dudek, G. (2020). Policy Search on Aggregated State Space for Active Sampling. In Springer Proceedings in Advanced Robotics (Vol. 11, pp. 211–221). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-33950-0_19
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