Xuwang Song — accepted AI-conference papers

2025

Nezha-H: An HAUV for Aerial and Underwater Observation and Sampling

Xuwang Song, Yulin Bai, Yuanbo Bi, Yingqiang Wang, Zheng Zeng, Huaguo Zhang +2

RA-L 2025

Hybrid aerial underwater vehicles (HAUVs) provide unique capabilities for aerial and underwater observation and sampling, with a variety of configurations already developed. However, challenges in maneuverability, payload integration, and practicality persist, while their specific applications remai

Cited by 2 Source ↗Scholar ↗

2025

Nezha-Morphing: Design and Experiments of a Seabird-Inspired Hybrid Aerial Underwater Vehicle

Muxierepu Aili, Xuwang Song, Yingqiang Wang, Zheng Zeng, Lian Lian

IROS 2025

Hybrid aerial underwater vehicles (HAUVs) hold great promise but face challenges like air-water integration and high underwater resistance. This paper presents Nezha-Morphing, a bio-inspired HAUV that emulates seabirds’ adaptive wing extension and retraction mechanisms for efficient movement in both

Cited by 1 Source ↗Scholar ↗