most citedInformation-driven Path Planning for Hybrid Aerial Underwater Vehicles

1 citations · 1 across the 1 of their papers we have counts for

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1 paper

cs.RO2022★ 1 cited

Information-driven Path Planning for Hybrid Aerial Underwater Vehicles

Zheng Zeng, Chengke Xiong, Xinyi Yuan +4

This paper presents a novel Rapidly-exploring Adaptive Sampling Tree (RAST) algorithm for the adaptive sampling mission of a hybrid aerial underwater vehicle (HAUV) in an air-sea 3…